Belief and feeling: evidence for an accessibility model of emotional self-report

Assessing Validity and Bias of Within-Person Variability in Affect and Personality

Within-person variability in affect (e.g., Neuroticism) and personality have been linked to well-being. These are measured either by asking people to report how variable they are or to give multiple reports on the construct and calculating a within-person standard deviation adjusted for confounding by the person-level mean. The two measures are weakly correlated with one another and the links of variability with well-being depend on which measure researchers use. Recent research suggests that people's repeated ratings may be biased by response styles. In a 7-day study (N = 399) with up to five measurements per day, we confirmed that the measures of variability lacked sufficient convergent validity to be used interchangeably. We found only 1 significant correlation (of 10) between variability in repeated ratings of affect or personality and variability in repeated ratings of a theoretically unrelated construct (i.e., features of images). There was very little evidence supporting the response styles hypothesis.

Consistent neural representation of valence in encoding and recall

Recall is an act of elicitation of emotions similar to those emotions previously experienced. Unlike the past experiences where external sensory stimuli triggered emotions, recall does not require external sensory stimuli. This difference is pertinent to the key debate in affective representation, addressing whether the representation of valence is consistent across modalities (modality-general) or dependent on modalities (modality-specific). This study aimed to verify neural representations of valence between encoding and recall. Using neuroimaging data from movie watching and recall (Chen et al., 2017) and behavioral data for valence ratings (Kim et al., 2020), a searchlight analysis was conducted with cross-participant regression-based decoding between movie watching and recall. Multidimensional scaling was employed as a validation analysis of the results from searchlight analysis. The searchlight analysis revealed the right middle temporal and inferior temporal gyrus as well as the left fusiform gyrus. The validation analysis further exhibited significant consistent neural representations of valence in the inferior temporal gyrus and the left fusiform gyrus. This study identified the brain regions where valence is consistently represented between encoding and recall about real events. These findings contribute to debate in affective representations, by comparing conditions utilized little in prior, suggesting the inferior temporal gyrus relates to representations of valence during encoding and recalling natural events.

Associations between emotion malleability beliefs and emotion regulation processes in daily life

Emotion malleability beliefs have been demonstrated to influence emotion regulation at the trait level. Contemporary theories propose that emotion regulation involves several stages: identifying the need to regulate, selecting strategies, and implementing those strategies. It remains unclear how emotion malleability beliefs relate to these stages in everyday life. This study examined the relationships between emotion malleability beliefs and the three stages of emotion regulation using a dynamic structural equation modelling (DSEM). Data from three studies (total N = 390) from the EMOTE database employing daily diary and ecological momentary assessment (EMA) were analysed. Emotion malleability beliefs were assessed at baseline, while emotion regulation strategies and negative emotions were assessed in daily lives. Results showed that emotion malleability beliefs were associated with the selection of cognitive reappraisal in the daily diary study, but not with any stage of emotion regulation in the EMA studies. Exploratory analyses further demonstrated a significant association between emotion malleability beliefs and the selection of situation modification in the daily diary study. These findings highlight the potential of EMA and daily diary studies to explore emotion regulation theories, while emphasising the need for further research into the dynamic relationships between emotion beliefs and regulation in daily life.

Using photovoice to facilitate the report of emotions in an interview setting: An experimental study

BACKGROUND

Finding words to describe emotional experiences can be challenging. Photovoice (PV) represents a possible way of facilitating the report of emotions. In the PV approach, people take pictures that they feel are related to a certain topic. Afterwards, they are invited to talk about this topic based on the pictures. There is a lack of experimental studies investigating the effectiveness of PV to aid in emotional processing in comparison to other methods.

METHODS

Sixty-five participants were randomly assigned to one of three groups (mean age: 28.23 years [SD = 9.23], 76% female). The photovoice-group received the task to take pictures that reflect future worries about something in the future. Participants in the active control group, the writing group, were instructed to write down their future worries. The control group did not receive an assignment. In a subsequent semi-structured interview, all participants were invited to talk about their future worries. The interviews were audio-recorded and later transcribed. The number of emotion words was counted during the transcriptions. After the interview, participants completed an online self-report questionnaire addressing a range of variables such as the participants' emotional state and their perceived difficulty identifying emotions.

RESULTS

Contrary to our hypotheses, one-way ANOVAs revealed no differences in any of the self-report measures between the three study groups (all p values > 0.14). Planned contrasts regarding the transcribed interviews revealed, however, that the PV-group reported more negative emotion words compared to the two other groups t(62) = 2.79, p = .007, and also compared to the WG only, t(62) = 2.48, p = .016.

CONCLUSIONS AND IMPLICATIONS

The discrepancy between self-report regarding emotionality in the questionnaires and emotion words observed during the interviews is notable. PV increased the observational emotion report even in a sample with high emotional awareness. Future research should examine if PV can facilitate emotion reporting in a clinical sample.

Differences in pupil size during self-reported experiences of disgust, sadness, fear, anger, and happiness

Previous research has found pupil dilation associated with stimuli pre-assigned as positive and negative in their emotional valence; however, it is not yet clear how self-rated experiences of specific emotions may correlate with differences in pupil size. Using a novel methodology across two studies, 200 participants were presented with emotionally engaging images and sounds and then rated the extent to which they felt happy, sad, angry, fearful, and disgusted in response to these. Data were analyzed using linear mixed effects models to examine whether the participant's own emotion ratings predict pupil size. In 2 studies using standardized images and sounds, and varied 30-s audio clips, in trials with higher self-reported disgust and sadness there was a consistent relationship with pupil dilation. Disgust was most often the strongest predictor of pupil dilation. This effect emerged ∼2 s after stimulus onset and remained present throughout stimulus presentation. Happiness had a weaker effect on pupil dilation and fear was associated with a late pupillary response. Anger was associated with pupil constriction, but only in Study 2. The present approach finds the most consistent relationship between pupil dilation and self-rated disgust and sadness, compared to other negative emotions. The findings thus suggest that measures of pupil size warrant further investigation as a potential indicative psychophysiological correlate of self-reported emotions, with implications for distinguishing negative emotions, such as disgust from anger.

Changes in affect variability after starting gender-affirming hormone therapy

Negative affect variability is determined by how often and how strongly negative affect changes over time. Cisgender women report greater variability in affect than cisgender men. It has been suggested that sex hormone changes may influence affect variability. Transgender people frequently opt to use sex hormones in the form of gender-affirming hormone therapy (GAHT), but the extent to which GAHT can change negative affect variability is not yet clear. Therefore, this study aims to study changes in negative affect variability after starting GAHT. We have included data from 92 participants from the RESTED study: 47 persons starting masculinizing hormones (MH), i.e. testosterone, and 45 persons starting feminizing hormones (FH), i.e., estrogens and anti-androgens. Participants completed up to 7 consecutive daily diaries at each of three time points: before starting GAHT, and after 3 and 12 months of GAHT. The daily diaries collected participants' reports on symptoms related to negative affect: experienced low mood, less interest, tense feelings and restless feelings. We have used linear mixed models to compare negative affect variability during one week, corrected for mean negative affect, between groups (MH versus FH) and measurement time points. Results show that in the MH group, variability in tense feelings and restless feelings decreased after 3 and 12 months of GAHT, respectively. In the FH group, variability in low mood increased after 3 months and 12 months of GAHT, as did variability in restless feelings after 12 months of GAHT. Group comparisons indicate significant group differences in changes in variability in low mood and restless feelings, with stronger increases in variability of negative affect in the FH group compared to MH group after 3 and 12 months of GAHT. Our findings indicate that variability patterns in negative affect in transgender persons change after starting GAHT, with participants who start masculinizing hormones moving to a profile which more closely resembles that of cisgender men and participants who start feminizing hormones moving to a profile which more closely resembles that of cisgender women. Future studies should focus on measuring both negative and positive affect variability during GAHT, preferably through multiple measurements per day, taking into account diverse social and daily contextual factors during GAHT.

Digital citizen science for ethical monitoring of youth physical activity frequency: Comparing mobile ecological prospective assessments and retrospective recall

Physical inactivity is a leading risk factor for mortality worldwide. Understanding youth patterns of moderate-to-vigorous physical activity (MVPA) is essential for addressing non-communicable diseases. Digital citizen science approaches, using citizen-owned smartphones for data collection, offer an ethical and innovative method for monitoring MVPA. This study compares the frequency of MVPA reported by youth using retrospective surveys and mobile ecological prospective momentary assessments (mEPAs) to explore the potential of digital citizen science for physical activity (PA) surveillance. Youth (N = 808) were recruited from Saskatchewan, Canada, between August and December 2018. Sixty-eight participants (ages 13-21) provided complete data on retrospective surveys (International Physical Activity Questionnaire, Simple Physical Activity Questionnaire, Global Physical Activity Questionnaire) and prospective mEPAs. Wilcoxon signed-rank tests compared retrospective and prospective MVPA frequencies, while negative binomial regression analysis examined associations between contextual factors and MVPA. Significant differences were found in the frequency of MVPA reported via retrospective surveys versus mEPAs (p < 0.000). Prospective MVPA was associated with family and friend support, having drug-free friends, part-time employment, and school distance, while retrospective MVPA frequency was associated with school and strength training. Digital citizen science, utilizing mEPAs, can provide more accurate and timely data on youth MVPA. With increasing smartphone access and digital literacy, mEPAs represent a promising method for developing effective and personalized MVPA recommendations for youth. However, these findings should be interpreted with caution, as the sample represents a small subset of youth, limiting generalizability to other youth populations.

Development and Initial Validation of the State Four Facet Mindfulness Questionnaire

The current research aimed to provide initial psychometric validation of a new multifaceted mindfulness questionnaire (referred to as the State Four Facet Mindfulness Questionnaire, or the "state-4FMQ" for short) adapted from the commonly used Five Facet Mindfulness Questionnaire (referred to as the "trait-FFMQ"). The research was divided into two pre-registered studies. In both, undergraduates partook in a 20-minute mindfulness meditation (via audio recording), and then answered questions, including the state-4FMQ, pertaining to their experience during the meditation. In Study 2, participants additionally partook in a 20-minute control condition. The state-4FMQ was developed using exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2). In Study 2, a short-form of the state-4FMQ was established, and several additional forms of measurement validity were tested. EFA and CFA results supported a four-factor structure, which was identical to the trait-FFMQ with the exclusion of Nonreactivity. This newly created state-4FMQ, and its short-form, showed good internal consistency as well as convergent, predictive, and construct validity. In addition, it was found that some facets, more than others, predicted momentary well-being. The validity of the state-4FMQ shows that it can be used to measure multiple facets of state mindfulness across a variety of situations.

Affective (in)attention: Using physiology to understand media selection

There is a longstanding belief amongst scholars of psychophysiology that activation is positively associated with attention. However, recent work on news avoidance suggests that activation from negative content is linked to decreased attention. The current study seeks to investigate these different expectations and suggests that both increased and decreased activation can be linked to both attention and avoidance. Using an experiment that employs skin conductance levels and heart rate to evaluate subjects' media selection choices, the author finds that even as deactivation is most likely to precede the decision to turn away from content, roughly 30% of the time activation precedes turning away. These findings confirm prior conclusions from the psychophysiological communications literature, and in the news avoidance literature, but it also highlights the need for more nuanced expectations where activation and media selection are concerned.

How Similar Are Students' Aggregated State Emotions to Their Self-Reported Trait Emotions? Results from a Measurement Burst Design Across Three School Years

Students' emotions in the classrom are highly dynamic and thus typically strongly vary from one moment to the next. Methodologies like experience sampling and daily diaries have been increasingly used to capture these momentary emotional states and its fluctuations. A recurring question is to what extent aggregated state ratings of emotions over a longer period of time are similar to self-reported traits of emotions. Thus, this study aims to investigate the extent of similarity between students' aggregated emotional states and self-reported traits over a two-week period in three consecutive school years (N T1 = 149, average ageT1 = 15.64 years). Six discrete emotions (enjoyment, anger, pride, anxiety, shame, and boredom) were assessed in German, English, French, and mathematics classes. We investigated similarity in terms of convergence, mean-level differences, long-term stability, and incremental predictive validity of aggregated states and self-reported traits. Results indicated substantial convergence between aggregated states and self-reported traits, with both showing similar long-term stability. However, aggregated states did not demonstrate superior predictive validity compared to self-reported traits for academic outcomes, while momentary assessments offer insights into short-term emotional fluctuations, on a person-aggregated level aggregated states and self-reported traits behave rather similarly. This suggests that both can be used interchangeably to study students' trait-related research questions, like interindividual differences or long-term emotional processes in educational settings.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10648-025-09995-1.

Coping with failures: how emotions, individual traits, expectation-importance and prior experience affect reactions to violated achievement expectations

Background

According to the model ViolEx 2.0, individuals cope with expectation violations in three different ways: assimilation (increasing efforts for expectation maintenance), immunization (ignoring or downplaying discrepant information) and accommodation (changing the expectation). Which contextual and personality factors influence expectation maintenance and change is still subject to investigation.

Objective

This study aimed to determine how two academic emotions, confusion (an epistemic emotion) and annoyance (an achievement emotion), as well as Tolerance of Ambiguity (as personality factor), the importance of an expectation and the prior experiences regarding this expectation (situational factors), relate to coping with expectation violations in achievement contexts.

Methods

Vignettes describing achievement expectation violations were presented to an initial sample of 310 participants. The stories varied in importance of an achievement (high, low), prior experience (confirming, disconfirming, no prior experience), and emotional reaction to the achievement failure (confusion, annoyance, no emotional reaction). As outcome measures, participants indicated their subjective likelihood of using three different coping responses to the expectation violation: assimilation, immunization and accommodation. In addition, Tolerance of Ambiguity was assessed using the German version of the Tolerance of Ambiguity Scale.

Results

Overall, annoyance and confusion predicted higher assimilation and lower immunization. Higher Tolerance of Ambiguity predicted higher immunization and lower accommodation, while higher importance of an initially expected outcome resulted in higher assimilation and lower accommodation. Finally, prior expectation confirmation strengthened expectations, resulting in higher assimilation and immunization, and lower accommodation, while disconfirming prior experience was taken into account only for accommodation. The tendency towards accommodation increased with age, and level of assimilation was lower in men than in women.

Conclusion

When trying to stabilize expectations, it is most helpful to frame communication around importance and confirming evidence. The effect of confirming evidence is much greater than that of disconfirming evidence. While two academic emotions, namely confusion and annoyance, increase the intentions to exert efforts and decrease the likelihood of immunization, their effect is also much smaller than the effect of importance. Finally, we conclude that older individuals accommodate more, and higher Tolerance of Ambiguity makes it more likely to maintain expectations despite discrepancies.

Spiritual boredom is associated with over- and underchallenge, lack of value, and reduced motivation

The emotion of boredom has attracted considerable research interest. However, boredom experienced in spiritual contexts (i.e., spiritual boredom) has rarely been investigated. Based on control-value theory (CVT), we investigated the occurrence, antecedents, and motivational effects of spiritual boredom in five different spiritual contexts: yoga, meditation, silence retreats, Catholic sermons, and pilgrimage. For each context, we conducted two independent studies, one including trait and another including state measures. The set of 10 studies included a total sample of N = 1267 adults. We complemented individual study results with an internal meta-analysis. The results showed a mean level of spiritual boredom ofM ¯  = 1.91 on a scale of 1 to 5. In line with CVT, spiritual boredom was positively related to being overchallenged (r ¯  = 0.44) in 9 out of the 10 studies and positively related to being underchallenged (r ¯  = 0.44) in all studies. Furthermore, as expected, spiritual boredom was negatively related to perceived value in all studies (r ¯  = -0.54). Finally, boredom was negatively related to motivation to engage in spiritual practice (r ¯  = -0.46) across studies. Directions for future research and practical implications are discussed.

To be aware or not aware: Do intrusions with and without meta-awareness differ?

People sometimes re-experience traumatic events via intrusive memories that spontaneously and unintentionally intrude into consciousness (i.e., intrusions). Such intrusions can be experienced without explicit awareness (i.e., meta-awareness). However, we do not know whether intrusions with and without meta-awareness differ in how people experience them (i.e., characteristics) or react to them via maladaptive responses (i.e., suppression, negative interpretations), and therefore whether they are important to differentiate. To investigate this issue, we asked participants to watch a trauma analogue film and-during a subsequent unrelated reading task-intermittently probed them to capture and assess one film-related intrusion. Intrusion meta-awareness positively correlated with intrusion negativity, re-experiencing, and suppression, but not with how people interpreted the meaning of their intrusion. Our findings suggest intrusions with and without meta-awareness can differ in how they are experienced and associated with thought suppression-highlighting the importance of considering both types of intrusions in theory and practice.

Alexithymia and Emotion Regulation: the Role of Emotion Intensity

When faced with negative emotions, the higher people are in alexithymia, the more likely they are to disengage from their emotions rather than engage with their emotions in an adaptive way. This emotion regulation profile is thought to explain links between alexithymia and negative life outcomes. What is not yet clear, however, is why alexithymia is linked to this emotion regulation profile. One possible explanation is greater emotional intensity. After all, initial evidence suggests that alexithymia is related to greater negative emotional intensity, and it is widely thought that greater negative intensity predicts the use of disengagement over engagement emotion regulation strategies. To address this issue, we conducted two intensive longitudinal studies (N = 273) to test three propositions, namely that in daily life (1) alexithymia is related to greater negative emotional intensity, (2) alexithymia is related to using more disengagement and less engagement emotion regulation, and (3) negative emotional intensity is a mediator explaining the link from alexithymia to using more disengagement and less engagement emotion regulation. In Study 1, we employed a daily diary design where participants reported on a negative event from their day. In Study 2, we used an intensive experience sampling design (nine surveys per day over seven days) to examine whether negative emotion intensity mediated the relationship from alexithymia to subsequent emotion regulation orientation. As expected, we found in both studies that greater negative intensity mediated the relationship between total alexithymia and more disengagement. However, only the difficulty identifying and describing emotion facets, but not externally oriented thinking, were related to negative emotion and disengagement. Contrary to expectation, total alexithymia was unrelated to engagement in both studies. Though in Study 2 alone, we found that externally oriented thinking predicted less reappraisal.

Language measures correlate with other measures used to study emotion

Researchers are increasingly using language measures to study emotion, yet less is known about whether language relates to other measures often used to study emotion. Building on previous work which focuses on associations between language and self-report, we test associations between language and a broader range of measures (self-report, observer report, facial cues, vocal cues). Furthermore, we examine associations across different dictionaries (LIWC-22, NRC, Lexical Suite, ANEW, VADER) used to estimate valence (i.e., positive versus negative emotion) or discrete emotions (i.e., anger, fear, sadness) in language. Associations were tested in three large, multimodal datasets (Ns = 193-1856; average word count = 316.7-2782.8). Language consistently related to observer report and consistently related to self-report in two of the three datasets. Statistically significant associations between language and facial cues emerged for language measures of valence but not for language measures of discrete emotions. Language did not consistently show significant associations with vocal cues. Results did not tend to significantly vary across dictionaries. The current research suggests that language measures (in particular, language measures of valence) are correlated with a range of other measures used to study emotion. Therefore, researchers may wish to use language to study emotion when other measures are unavailable or impractical for their research question.

Misremembering Solitude: The Role of Personality and Cultural Self-Concepts in Shaping Discrepancies Between Recalled and Concurrent Affect in Solitude

BACKGROUND

Affect recall is key to psychological assessment and decision-making. However, self-concepts (self-beliefs) may bias retrospective affect reports such that they deviate from lived experiences. Does this experience-memory gap apply to solitude experiences? We hypothesized that individuals misremember how they feel overall and when in solitude, in line with self-concepts of introversion, self-determined/not-self-determined solitude motivations, and independent/interdependent self-construal. A pilot study comparing retrospective to daily affect reports captured over 2 weeks (N = 104 UK university students) provided preliminary evidence of introversion and not-self-determined solitude shaping affect recall.

METHODS

In the main pre-registered study, participants aged 18-49 in the UK (N = 160) and Hong Kong (N = 159) reported their momentary affective states and social situations 5 times per day over 7 days, then recalled how they felt over the week.

RESULTS AND DISCUSSION

Individuals higher in self-determined solitude were more prone to retrospectively overestimate their high- and low-arousal positive affect in solitude and showed less overestimation/more underestimation of negative affect in solitude. Higher not-self-determined solitude was associated with overestimating loneliness, and higher interdependent self-construal with overestimating loneliness and energy levels, in solitude. Comparisons based on residence/ethnicity suggest culture influences solitude-seeking and affective memory. Implications for well-being and affect measurement are discussed.

Does the PedsQL reflect the real-time quality of life in autistic adolescents? A comparison with the experience sampling methodology

BACKGROUND

The PedsQL is widely used to retrospectively evaluate quality of life (QoL) in autistic adolescents. However, concerns have arisen regarding its ability to reflect real-time QoL, considering their challenges in recollecting past experiences.

OBJECTIVE

We examined the overall and social QoLs of autistic adolescents compared to neurotypical peers using the PedsQL and the experience sampling method (ESM), an ecological momentary assessment of QoL in real-time. Additionally, we explored the relationship between these measures in each group.

METHODS

A total of 175 participants, including 117 autistic and 58 neurotypical adolescents aged 10-16, completed the PedsQL and an ESM protocol with a mobile device to record their real-time experiences seven times a day for seven days. We performed multiple linear regression and multilevel analyses to compare QoLs between groups and the association between the two measures.

RESULTS

Autistic adolescents scored significantly lower than neurotypical peers on PedsQL overall and social QoL but not on the real-time experiences collected with ESM. Among neurotypical adolescents, we found significant associations between the Social Functioning score of the PedsQL and various aspects of real-time social experiences recorded with ESM. For autistic adolescents, only the real-time experience of 'loneliness' during social engagement was associated with Social Functioning on the PedsQL.

CONCLUSIONS

The retrospective PedsQL does not entirely capture the real-time QoL via ESM. However, relying solely on ESM may overlook situations where participants opt out or could not complete surveys. Thus, using both retrospective and real-time assessments to examine QoL among autistic adolescents is recommended.

Emotions in misinformation studies: distinguishing affective state from emotional response and misinformation recognition from acceptance

Prior studies indicate that emotions, particularly high-arousal emotions, may elicit rapid intuitive thinking, thereby decreasing the ability to recognize misinformation. Yet, few studies have distinguished prior affective states from emotional reactions to false news, which could influence belief in falsehoods in different ways. Extending a study by Martel et al. (Cognit Res: Principles Implic 5: 1-20, 2020), we conducted a pre-registered online survey experiment in Austria (N = 422), investigating associations of emotions and discernment of false and real news related to COVID-19. We found no associations of prior affective state with discernment, but observed higher anger and less joy in response to false compared to real news. Exploratory analyses, including automated analyses of open-ended text responses, suggested that anger arose for different reasons in different people depending on their prior beliefs. In our educated and left-leaning sample, higher anger was often related to recognizing the misinformation as such, rather than accepting the false claims. We conclude that studies need to distinguish between prior affective state and emotional response to misinformation and consider individuals' prior beliefs as determinants of emotions.

Development of the psychopathological vulnerability index for screening at-risk youths: a Rasch model approach

Accumulating research on mental health emphasizes the general factor of psychopathology (p-factor) that unites various mental health issues. This study develops a psychopathological vulnerability assessment for youths, evaluating its psychometric properties and clinical utility. An umbrella review conceptualized multifactor psychopathological vulnerability, leading to a 57-item pool. A total of 11,224 individuals participated in this study. The resulting 22-item psychopathological vulnerability index (PVI) fitted the unidimensional Rasch model, demonstrating a person separation reliability of 0.78 and a Cronbach's alpha of 0.84. Cut-off points of 11 and 5, derived from latent class analysis, were used to distinguish vulnerable and high-protection populations. The PVI's concurrent and predictive hit rates ranged from 36.00% to 53.57% in clinical samples. The PVI concretized the vulnerability-stress model for identifying at-risk youths and may facilitate universal interventions by integrating the theoretical foundations of bifactor S-1 models with key symptoms from network models for theoretically grounded approaches.

The interplay of social rank perceptions of Trump and Biden and emotions following the U.S. presidential election 2020

The outcome of the 2020 U.S. election between Trump and Biden evoked strong emotions. In U.S. American (Study 1; N = 405) and German (Study 2; N = 123) samples, we investigated how observers' group membership (i.e. political orientation) and the social rank attainment of both candidates (i.e. dominance vs. prestige) predicted emotional reactions. Trump was generally perceived as more dominant, and Biden as more prestigious. However, perceptions of social rank attainment differed depending on the observers' political orientation, either matching or not matching with the leaders (i.e. Republicans and Democrats, respectively). The candidate who did not share the participants' political orientation was perceived as less prestigious and more dominant and elicited stronger contrastive emotions (i.e. schadenfreude, malicious envy) and weaker assimilative emotions (i.e. happy-for-ness, sympathy, anger), and vice versa. Crucially, dominance and prestige perceptions explained variance in the emotional reactions of more conservative and more liberal participants. Prestige positively predicted assimilative emotions and dominance contrastive emotions. Our work advances theorising by providing evidence that dominance and prestige perceptions contribute to the elicitation of various emotions. Furthermore, it suggests that prestige and dominance are not fixed characteristics of liberal and conservative leaders but depend on the observers' group membership.

Introducing the Bidimensional Model of Hope and its conceptual and methodological utilities

What is hope, and how can we measure it? These questions have occupied the minds of hope scholars across disciplines. This article outlines a comprehensive approach to understanding hope: the Bidimensional Model of Hope. Building on the standard definition of hope, the bidimensional model explores hope as the intersection between wishes (desires, aspirations) and expectations (assessment of possibility). Hope is thus located on a bidimensional plane with two perpendicular axes; one corresponds to the levels of wishes to achieve an outcome, and the second to the levels of expectations of achieving the outcome. We claim that the bidimensional approach is comprehensive enough to include existing definitions of hope while being parsimonious, versatile, and applicable to many contexts, including those where the hoped-for outcome is beyond people's actual or perceived control. We show the model's theoretical and methodological utility and its use in existing qualitative and quantitative research on hope in the context of intractable international conflicts. We end with suggesting pathways for developing and applying the Bidimensional Model of Hope to assist hope research in a variety of contexts and disciplines.

A Comprehensive Investigation of Social Anxiety and Social Evaluative Stress in Autistic Children and Adolescents and Specific Learning Disorders

The aim was to investigate trait social anxiety and social evaluative stress in autistic children and adolescents and Specific Learning Disorders (SLD). This was done by evaluating behavioral, subjective, and autonomic responses to the Trier Social Stress Test (TSST). Study 1 included 280 children and adolescents: 60 autistic without intellectual disability (ID), 70 SLD, and 150 non-diagnosed (ND) peers. Study 2 involved 55 participants: 15 autistic without ID, 15 SLD, and 20 ND. The sample was predominantly male. In Study 1, behavioral (quality of public speech) and subjective (valence, arousal, perceived competence, and worries) aspects of social stress were examined. Study 2 expands upon the first study, as physiological responses to social stress were also measured. Trait social anxiety was investigated using both parents' and children's reports in the two studies. Parents of autistic participants and with SLD reported higher trait social anxiety in their children than the parents of ND. No differences emerged from the participants' self-reports, though those autistic and with SLD were assigned lower scores in the public speech quality than ND. Autistic children and adolescents reported lower arousal and higher perceived competence than ND, while those with SLD reported a lower perception of competence. Autistic participants had a decreased cardiac reactivity across the TSST when compared to SLD and ND. Our findings show unique patterns of responses within each group, confirming that the combined investigation of trait anxiety and social stress responses could be a valuable insight in research and clinical practice.

Examining the role of relational utility in guilt and regret

Relational utility refers to the value of another person for the attainment of one's future goals through social interaction. Nelissen (2014) found that relational utility influences the intensity of guilt feelings. Specifically, people would feel stronger guilt for hurting a person if this person has high relational utility compared to low relational utility. Guilt is thus not only sensitive to how much another person is hurt, but also to one's own future benefits. Previous research suggested that regret, an emotion strongly related to guilt, is typically experienced when one's own benefit is involved. Regret was not measured in Nelissen's research. In the present research, we examined the role of relational utility in experienced guilt and regret and explored whether the effect of relational utility on regret could explain why relational utility has an effect on guilt. Specifically, we attempt to replicate and extend Nelissen's Study 1 by adding a measure of regret. In two experimental studies we did not replicate the effect of relational utility on guilt, and we only found an effect of relational utility on regret in Study 1 (and not in Study 2). Possible reasons for the contradictory findings of the two studies are discussed.

Shadows of wisdom: Classifying meta-cognitive and morally grounded narrative content via large language models

We investigated large language models' (LLMs) efficacy in classifying complex psychological constructs like intellectual humility, perspective-taking, open-mindedness, and search for a compromise in narratives of 347 Canadian and American adults reflecting on a workplace conflict. Using state-of-the-art models like GPT-4 across few-shot and zero-shot paradigms and RoB-ELoC (RoBERTa -fine-tuned-on-Emotion-with-Logistic-Regression-Classifier), we compared their performance with expert human coders. Results showed robust classification by LLMs, with over 80% agreement and F1 scores above 0.85, and high human-model reliability (Cohen's κ Md across top models = .80). RoB-ELoC and few-shot GPT-4 were standout classifiers, although somewhat less effective in categorizing intellectual humility. We offer example workflows for easy integration into research. Our proof-of-concept findings indicate the viability of both open-source and commercial LLMs in automating the coding of complex constructs, potentially transforming social science research.

Deconstructing wisdom through a cultural lens: Folk understandings of wisdom and its ontology in the Philippines and Sri Lanka

In many contemporary societies, misinformation, epistemic arrogance, and intergroup conflict pose serious threats to social cohesion and well-being. Wisdom may offer a potential antidote to these problems, with a recently identified Common Wisdom Model (CWM) suggesting that wisdom involves epistemic virtues such as intellectual humility, openness to change, and perspective-taking. However, it is unclear whether these virtues are central for folk concepts of wisdom in non-Western contexts. We explored this question by conducting focus group discussions with 174 participants from the Philippines and Sri Lanka, two countries facing socio-political and economic challenges. We found that epistemic themes were common in both countries, but more so when participants were asked to define wisdom in general terms rather than to describe how it is acquired or expressed in daily lives. Moreover, epistemic themes were more prevalent among Filipino than Sri Lankan participants, especially when the questions posed were abstract rather than concrete. We discuss how these findings relate to the CWM and the socio-cultural contexts of the two countries, and suggest that a question format should be considered in cross-cultural research on wisdom.

SEMA3: A free smartphone platform for daily life surveys

Traditionally, behavioral, social, and health science researchers have relied on global/retrospective survey methods administered cross-sectionally (i.e., on a single occasion) or longitudinally (i.e., on several occasions separated by weeks, months, or years). More recently, social and health scientists have added daily life survey methods (also known as intensive longitudinal methods or ambulatory assessment) to their toolkit. These methods (e.g., daily diaries, experience sampling, ecological momentary assessment) involve dense repeated assessments in everyday settings. To facilitate research using daily life survey methods, we present SEMA3 ( http://www.SEMA3.com ), a platform for designing and administering intensive longitudinal daily life surveys via Android and iOS smartphones. SEMA3 fills an important gap by providing researchers with a free, intuitive, and flexible platform with basic and advanced functionality. In this article, we describe SEMA3's development history and system architecture, provide an overview of how to design a study using SEMA3 and outline its key features, and discuss the platform's limitations and propose directions for future development of SEMA3.

Predicting Individual Hearing-Aid Preference From Self-Reported Listening Experiences in Daily Life

OBJECTIVES

The study compared the utility of two approaches for collecting real-world listening experiences to predict hearing-aid preference: a retrospective questionnaire (Speech, Spatial, and Qualities of Hearing Scale [SSQ]) and in-situ Ecological Momentary Assessment (EMA). The rationale being that each approach likely provides different and yet complementary information. In addition, it was examined how self-reported listening activity and hearing-aid data-logging can augment EMAs for individualized and contextualized hearing outcome assessments.

DESIGN

Experienced hearing-aid users (N = 40) with mild-to-moderate symmetrical sensorineural hearing loss completed the SSQ questionnaire and gave repeated EMAs for two wear periods of 2-weeks each with two different hearing-aid models that differed mainly in their noise reduction technology. The EMAs were linked to a self-reported listening activity and sound environment parameters (from hearing-aid data-logging) recorded at the time of EMA completion. Wear order was randomized by hearing-aid model. Linear mixed-effects models and Random Forest models with five-fold cross-validation were used to assess the statistical associations between listening experiences and end-of-trial preferences, and to evaluate how accurately EMAs predicted preference within individuals.

RESULTS

Only 6 of the 49 SSQ items significantly discriminated between responses made for the end-of-trial preferred versus nonpreferred hearing-aid model. For the EMAs, questions related to perception of the sound from the hearing aids were all significantly associated with preference, and these associations were strongest in EMAs completed in sound environments with predominantly low SNR and listening activities related to television, people talking, nonspecific listening, and music listening. Mean differences in listening experiences from SSQ and EMA correctly predicted preference in 71.8% and 72.5% of included participants, respectively. However, a prognostic classification of single EMAs into end-of-trial preference with a Random Forest model achieved a 93.8% accuracy when contextual information was included.

CONCLUSIONS

SSQ and EMA predicted preference equally well when considering mean differences, however, EMAs had a high prognostic classifications accuracy due to the repeated-measures nature, which make them ideal for individualized hearing outcome investigations, especially when responses are combined with contextual information about the sound environment.

A review of the peak-end rule in mental health contexts

The peak-end rule, a memory heuristic in which the most emotionally salient part of an experience (i.e., peak) and conclusion of an experience (i.e., end) are weighted more heavily in summary evaluations, has been understudied in mental health contexts. The recent growth of intensive longitudinal methods has provided new opportunities for examining the peak-end rule in the retrospective recall of mental health symptoms, including measures often used in measurement-based care initiatives. Additionally, principles of the peak-end rule have significant potential to be applied to exposure-based therapy procedures. Additional research is needed to better understand the contexts in which, and persons for whom, the peak-end rule presents a greater risk of bias, to ultimately improve assessment strategies and clinical care.

Semantic effects on the perception of emotional prosody in native and non-native Chinese speakers

While previous research has found an in-group advantage (IGA) favouring native speakers in emotional prosody perception over non-native speakers, the effects of semantics on emotional prosody perception remain unclear. This study investigated the effects of semantics on emotional prosody perception in Chinese words and sentences for native and non-native Chinese speakers. The critical manipulation was the congruence of prosodic (positive, negative) and semantic (positive, negative, and neutral) valence. Participants listened to a series of audio clips and judged whether the emotional prosody was positive or negative for each utterance. The results revealed an IGA effect: native speakers perceived emotional prosody more accurately and quickly than non-native speakers in Chinese words and sentences. Furthermore, a semantic congruence effect was observed in Chinese words, where both native and non-native speakers recognised emotional prosody more accurately in the semantic-prosody congruent condition than in the incongruent condition. However, in Chinese sentences, this congruence effect was only present for non-native speakers. Additionally, the IGA effect and semantic congruence effect on emotional prosody perception were influenced by prosody valence. These findings illuminate the role of semantics in emotional prosody perception, highlighting perceptual differences between native and non-native Chinese speakers.

Systematic Review and Meta-Analysis: Pharmacological and Nonpharmacological Interventions for Disruptive Mood Dysregulation Disorder

Objectives: Disruptive mood dysregulation disorder (DMDD) is a relatively new diagnosis that comprises severe, nonepisodic irritability and recurrent outbursts of emotional instability in adolescents. This meta-analysis examined the efficacy of the available pharmacological and nonpharmacological interventions for DMDD. Methods: Literature searches were conducted in July 2023. To determine relevant articles, 330 abstracts were reviewed, and 39 articles were identified for full review. A random-effects model was used for the meta-analysis, and a subgroup analysis was performed to assess the effects of study design and intervention type. Results: Eleven studies were reviewed, including six pharmacological and five nonpharmacological. Despite high heterogeneity in effects (I2 = 85%), we showed statistically significant improvements in irritability symptoms following intervention. We showed statistically significant enhancements in symptoms of irritability following the intervention. The subgroup analysis revealed that, compared with randomized controlled trials (RCTs), open trials showed significant improvements in irritability. In addition, drug intervention significantly improved irritability compared to nondrug interventions. Atomoxetine (ATX), optimized stimulants, and stimulants combined with other drugs and behavioral therapy effectively improved irritability. Conclusions: With research indicating potential benefits for irritability from a combination of pharmacological interventions and therapy, including ATX, stimulants in conjunction with antipsychotic or antidepressant medications, and cognitive-behavioral techniques such as Dialectical Behavior Therapy for Children. Future large-scale RCTs are essential to further explore and refine these treatment approaches, especially focusing on the efficacy of combining pharmacological with effective nonpharmacological to improve irritability and overall outcomes in this population.

The development and validation of the One Health Community Assessment

Interdisciplinary collaborations to address human, animal, and environmental health have been emphasized since the inception of the One Health framework. A quantitative survey instrument was developed to measure perceptions of the impacts of pets on One Health. Using the exploratory sequential mixed methods approach, 20 interviews were conducted with individuals from a racially diverse and low-socioeconomic status community in the U.S. to understand their perceptions of One Health. Data from those interviews informed the development of a Likert scale survey measuring individual perceptions of community, human, pet, and environmental health and welfare, as well as the connections between the domains of the One Health triad (human, animal, and environment). The resulting One Health Community Assessment (OHCA) was administered in two urban and two rural underserved U.S. communities longitudinally (2018-2021) through door-to-door data collection as well as phone, email, and text surveys. Validation of the instrument was completed using data collected in the third and fourth years of the study (n = 654). Factor analysis with orthogonal varimax rotation was used to assess the structure and internal consistency of the OHCA. Five subscales explained 42.4% of the variance in our 92-item instrument: community health (Cronbach's α = 0.897), human health (α = 0.842), pet health (α = 0.899), environmental health (α = 0.789), and connections between domains of One Health (α = 0.762). The OHCA represents the first reliable and validated instrument to measure the impacts of pets on One Health.

Characterizing Longitudinal Patterns in Cognition, Mood, And Activity in Depression With 6-Week High-Frequency Wearable Assessment: Observational Study

BACKGROUND

Cognitive symptoms are an underrecognized aspect of depression that are often untreated. High-frequency cognitive assessment holds promise for improving disease and treatment monitoring. Although we have previously found it feasible to remotely assess cognition and mood in this capacity, further work is needed to ascertain the optimal methodology to implement and synthesize these techniques.

OBJECTIVE

The objective of this study was to examine (1) longitudinal changes in mood, cognition, activity levels, and heart rate over 6 weeks; (2) diurnal and weekday-related changes; and (3) co-occurrence of fluctuations between mood, cognitive function, and activity.

METHODS

A total of 30 adults with current mild-moderate depression stabilized on antidepressant monotherapy responded to testing delivered through an Apple Watch (Apple Inc) for 6 weeks. Outcome measures included cognitive function, assessed with 3 brief n-back tasks daily; self-reported depressed mood, assessed once daily; daily total step count; and average heart rate. Change over a 6-week duration, diurnal and day-of-week variations, and covariation between outcome measures were examined using nonlinear and multilevel models.

RESULTS

Participants showed initial improvement in the Cognition Kit N-Back performance, followed by a learning plateau. Performance reached 90% of individual learning levels on average 10 days after study onset. N-back performance was typically better earlier and later in the day, and step counts were lower at the beginning and end of each week. Higher step counts overall were associated with faster n-back learning, and an increased daily step count was associated with better mood on the same (P<.001) and following day (P=.02). Daily n-back performance covaried with self-reported mood after participants reached their learning plateau (P=.01).

CONCLUSIONS

The current results support the feasibility and sensitivity of high-frequency cognitive assessments for disease and treatment monitoring in patients with depression. Methods to model the individual plateau in task learning can be used as a sensitive approach to better characterize changes in behavior and improve the clinical relevance of cognitive data. Wearable technology allows assessment of activity levels, which may influence both cognition and mood.

Distinguishing Emotion Regulation Success in Daily Life From Maladaptive Regulation and Dysregulation

ACADEMIC ABSTRACT

This paper aims to motivate research on emotion regulation success in naturalistic settings. We define emotion regulation success as achieving one's emotion regulation goal and differentiate it from related concepts (i.e., maladaptive regulation and dysregulation). As goals vary across individuals and situations, it is insufficient to conceptualize emotion regulation success as maximizing positive affect and minimizing negative affect. Instead, emotion regulation success can be measured through novel approaches targeting the achievement of emotion regulation goals. In addition to utilizing novel data analytic tools (e.g., response surface analyses), future research can make use of informant reports and observing ambulatory behavior or physiology. Considering emotion regulation goals when measuring daily emotion regulation success has the potential to answer key questions about personality, development, and mental health.

PUBLIC ABSTRACT

People differ in how they want to feel in daily situations (e.g., excited) and why they want to feel that way (e.g., to make others feel better), depending on factors such as culture or age. Although people manage their emotions to reach these goals, most research assessing emotion regulation success has not taken individual goals into account. When assessing if people successfully regulate their emotions, most research in daily life has been focused on whether people feel more positive or less negative. To help study emotion regulation success in a more thoughtful and inclusive way, we propose a new approach to conceptualizing emotion regulation success that incorporates individual differences in what motivates people to regulate and discuss future research directions and applications.

Smartphone-based ecological momentary assessment reveals an incremental association between natural diversity and mental wellbeing

Using smartphone-based ecological momentary assessment, this study investigated an association between natural diversity on mental wellbeing. A sample of 1,998 participants completed 41,448 assessments between April 2018 and September 2023. Environments which included a larger range of natural features, such as trees, plants and birdlife (high natural diversity) were associated with greater mental wellbeing than environments including a smaller range of natural features (low natural diversity). There was evidence of a mediating effect of natural diversity on the association between natural environments and mental wellbeing. These results highlight the importance of policies and practices that support richness of biodiversity for public mental health.

The effect of age on emotion regulation patterns in daily life: Findings from an experience sampling study

The present experience sampling study investigated the effect of age on emotion regulation patterns (i.e., emotion regulation strategy effectiveness, variability, and differentiation) in daily life. The study further explored the implications of potential age differences in emotion regulation patterns for well-being. A sample of 406 adults (age range: 18-81, 62.8% female) were prompted five times a day for seven days to rate momentary emotions, emotion regulation strategy use, and emotion regulation strategy effectiveness. Based on these ratings, indicators of emotion regulation variability and differentiation were calculated. Well-being outcomes included daily positive and negative emotions, and symptoms of depression and anxiety assessed at baseline. The findings revealed reduced emotion regulation variability with age and a negative association between emotion regulation variability and well-being. There were no associations between age and emotion regulation effectiveness or differentiation. Emotion regulation effectiveness was associated with more positive and less negative daily emotions, and these associations were stronger for younger adults compared to older adults. Drawing on prominent lifespan theories, the findings may indicate that as people age, they select and apply a few strategies that they know will be effective given the context and their resources which leads to reduced emotion regulation variability but ultimately more well-being. Concerning emotion regulation effectiveness, the findings suggest that effectiveness is less important for emotional well-being in daily life in older adulthood possibly because well-being is determined by other factors (e.g., less frequent and more predictable stressors) with age.

Positive affect and heart rate variability: a dynamic analysis

Traditional survey methods can provide noisy data arising from recall, memory and other biases. Technological advances (particularly in neuroscience) are opening new ways of monitoring physiological processes through non-intrusive means. Such dense continuous data provide new and fruitful avenues for complementing self-reported data with a better understanding of human dynamics and human interactions. In this study, we use a survey to collect positive affect (feelings) data from more than 300 individuals over a period of 24 h, and at the same time, map their core activities (5000 recorded activities in total) with measurements of their heart rate variability (HRV). Our results indicate a robust correlation between the HRV measurements and self-reported affect. By drawing on the neuroscience and wellbeing literature we show that dynamic HRV results are what we expect for positive affect, particularly when performing activities like sleep, travel, work, exercise and eating. This research provides new insights into how to collect HRV data, model and interpret it.

Home-schooling and caring for children during the COVID-19 lockdown in the UK: emotional states, systems of support and coping strategies in working mothers

Introduction

We examined the experience of the intensification of home-schooling and/or childcare in working mothers in the United Kingdom during the first national COVID-19 lockdown. Our focus was on understanding how mothers dealt with this challenging period both emotionally and practically.

Methods

Eligible mothers (n = 47; Mage  =  39.6) participated in an anonymous online survey of openended questions.

Results

Thematic analysis of responses showed that mothers found home-schooling and/or childcare to be challenging. This was particularly notable in situations where support from partners, schools, and workplaces was limited. For single working mothers, the absence of support resources was especially impactful. Mothers often felt overly stressed trying to balance work and family responsibilities, guilty for not meeting their child's needs, and were worried over their child's well-being and academic progress and over increasing work demands. Common strategies mothers used to cope with the challenges of home-schooling and/or childcare included adopting a positive outlook, implementing flexible family structures, increasing family connectedness, and negotiating alternative partnership models.

Discussion

The intensification of home-schooling and/or childcare during the lockdown in the United Kingdom negatively affected maternal well-being, particularly due to limited support. These findings underscore the importance of prioritizing maternal wellbeing in post-pandemic recovery efforts. Additionally, they highlight the social dimension of maternal wellbeing and suggest a comprehensive approach to support it that includes both timely access to intervention for mental health but also implementing family-friendly work policies and offering support with childcare and children's learning as essential measures.

Evaluating the Structure of Subjective Well-Being: Evidence From Three Large-Scale, Long-Term, National Longitudinal Studies

To inform the tripartite structure of subjective well-being (SWB), national longitudinal studies from the United States, Germany, and Australia were used to estimate random-intercept cross-lagged panel models (RI-CLPM) in which between- and within-individual variation in life satisfaction (LS), positive affect (PA), and negative affect (NA) was examined over periods of up to two decades. The RI-CLPMs incorporated a hierarchical conceptualization in which LS, PA, and NA are indicators of a latent SWB factor and a causal systems conceptualization in which PA and NA are inputs to LS. Results from all three samples indicated substantial loadings from LS, PA, and NA on latent SWB factors between and within individuals. Cross-lagged effects were observed among all three SWB components, rather than unidirectional from PA and NA to LS. The present findings provide valuable new insights concerning the tripartite structure of SWB between and within individuals over extended periods of time.

Measuring digital intervention user experience with a novel ecological momentary assessment (EMA) method, CORTO

Digital interventions often suffer from low usage, which may reflect insufficient attention to user experience. Moreover, the existing evaluation methods have limited applicability in the remote study of user experience of complex interventions that have expansive content and that are used over an extensive period of time. To alleviate these challenges, we describe here a novel qualitative Ecological Momentary Assessment (EMA) method: the CORTO method (Contextual, One-item, Repeated, Timely, Open-ended). We used it to gather digital intervention user experience data from Finnish adults (n = 184) who lived with interview-confirmed major depressive disorder (MDD) and took part in a randomized controlled trial (RCT) that studied the efficacy of a novel 12-week game-based digital intervention for depression. A second dataset on user experience was gathered with retrospective interviews (n = 22). We inductively coded the CORTO method and retrospective interview data, which led to four user experience categories: (1) contextual use, (2) interaction-elicited emotional experience, (3) usability, and (4) technical issues. Then, we used the created user experience categories and Template Analysis to analyze both datasets together, and reported the results qualitatively. Finally, we compared the two datasets with each other. We found that the data generated with the CORTO method offered more insights into usability and technical categories than the interview data that particularly illustrated the contextual use. The emotional valence of the interview data was more positive compared with the CORTO data. Both the CORTO and interview data detected 55 % of the micro-level categories; 20 % of micro-level categories were only detected by the CORTO data and 25 % only by the interview data. We found that the during-intervention user experience measurement with the CORTO method can provide intervention-specific insights, and thereby further the iterative user-centered intervention development. Overall, these findings highlight the impact of evaluation methods on the categories and qualities of insights acquired in intervention research.

Modal and amodal cognition: an overarching principle in various domains of psychology

Accounting for how the human mind represents the internal and external world is a crucial feature of many theories of human cognition. Central to this question is the distinction between modal as opposed to amodal representational formats. It has often been assumed that one but not both of these two types of representations underlie processing in specific domains of cognition (e.g., perception, mental imagery, and language). However, in this paper, we suggest that both formats play a major role in most cognitive domains. We believe that a comprehensive theory of cognition requires a solid understanding of these representational formats and their functional roles within and across different domains of cognition, the developmental trajectory of these representational formats, and their role in dysfunctional behavior. Here we sketch such an overarching perspective that brings together research from diverse subdisciplines of psychology on modal and amodal representational formats so as to unravel their functional principles and their interactions.

The Human Affectome

Over the last decades, theoretical perspectives in the interdisciplinary field of the affective sciences have proliferated rather than converged due to differing assumptions about what human affective phenomena are and how they work. These metaphysical and mechanistic assumptions, shaped by academic context and values, have dictated affective constructs and operationalizations. However, an assumption about the purpose of affective phenomena can guide us to a common set of metaphysical and mechanistic assumptions. In this capstone paper, we home in on a nested teleological principle for human affective phenomena in order to synthesize metaphysical and mechanistic assumptions. Under this framework, human affective phenomena can collectively be considered algorithms that either adjust based on the human comfort zone (affective concerns) or monitor those adaptive processes (affective features). This teleologically-grounded framework offers a principled agenda and launchpad for both organizing existing perspectives and generating new ones. Ultimately, we hope the Human Affectome brings us a step closer to not only an integrated understanding of human affective phenomena, but an integrated field for affective research.

Effects of a brief online emotion word learning task on negative emotion differentiation, emotional self-efficacy, and prospective distress: Preliminary findings

BACKGROUND

Disruptions in emotion processing are common across psychological disorders. Research suggests that emotion differentiation (ED; specificity in language used to characterize one's emotional experience) and emotional self-efficacy (ESE; perceived ability to understand and manage one's emotions) are important transdiagnostic factors associated with various psychological benefits. Whether ED and ESE can be improved in adults remains largely unclear.

METHODS

Using a longitudinal prospective design, we tested a brief online training targeting emotion word knowledge (vs. a control condition) to see if it improved negative ED (NED) and ESE in a college sample. Moreover, we tested if changes in NED or ESE mediated the effects of the training on levels of psychological distress one week and two-months post-intervention.

RESULTS

Findings provided partial support for our hypotheses. Individuals whose ESE increased post-intervention reported lower levels of distress two months later. Moreover, exploratory analyses revealed those who demonstrated greater training engagement experienced increases in NED that in turn predicted lower distress one-week post-intervention. However, there were no direct effects of intervention group on NED or ESE and distress.

CONCLUSIONS

These findings highlight the potential of a remotely-administered emotion-language intervention to influence key dimensions of emotion processing and suggest avenues for further refinement. Both NED and ESE may be malleable for some, and that enhancements in ESE may produce long-term psychological benefits.

Descriptive norms and entrepreneurial intentions: the mediating role of anticipated inaction regret

Previous research has mainly focused on the cognitive-based theory of planned behavior (TPB) model to predict entrepreneurial intentions. However, given the close relationship between cognition and emotion, researchers may need to pay more attention to how emotional reactions help predict entrepreneurial intentions. To fill this gap, we apply both cognitive (i.e., descriptive norms) and emotional (i.e., anticipated inaction regret) aspects to understand predictors of entrepreneurial intentions. Specifically, we employ the affect-as-information perspective as a complementary theoretical lens to TPB to test whether the role of descriptive norms on entrepreneurial intentions is affected by anticipated inaction regret as a form of emotional reaction to descriptive social norms. We conducted two survey-based studies with diverse samples (i.e., online Mturk panels of adults in the US and undergraduate students in Korea). This study demonstrates (1) a positive and significant relationship between descriptive norms and entrepreneurial intentions and (2) a mediating role of anticipated inaction regret between descriptive norms and entrepreneurial intentions. Our results contribute to the entrepreneurial intentions literature by exploring the mechanism between cognition and emotion, and highlighting an indirect emotional link (i.e., anticipated inaction regret) in understanding entrepreneurial intentions.

Role of the Menstrual Cycle on Performance and Injury Risk: A Survey of Female Professional Rugby Players in the United Kingdom

BACKGROUND

Female athletic performance and injury risk is impacted by variations in the menstrual cycle (MC), but the understanding of the impacts and mechanisms influenced by the menstrual cycle on exercise performance are not fully delineated.

AIMS AND OBJECTIVES

Evaluate associations between the menstrual cycle, perceived performance, and injury risk of elite female rugby players using an online survey.

METHODS

An anonymous online questionnaire was completed by 150 elite female rugby players from two English rugby leagues, the Betfred Women's Super League (BWSL) and the Allianz Premier 15s (AP15s). The collected data were analysed thematically.

RESULTS

The Chi-square test was used to assess associations between age groups and contraception usage, weight change, and training and playing performance; none of the associations were statistically significant (all p values > 0.05). Thematic analysis of 11,660 words of data revealed four themes: (a) MC impact on training and competition, (b) education and period management plans, (c) openness of conversations and comfort taking time off, and (d) injury risk. The impacted performance areas were physical (83.7%), psychological (85.7%), and nutritional (80.3%); players experienced decreased appetite, nausea, fatigue, strength declines, heighted emotions, and worsened focus. In total, 87.8% of athletes perceived the MC to negatively impact performance, 85.7% of players desired to be educated further to prevent injuries, improve nutrition, and training adaptions, 51.7% of participants perceived risk of injury to be higher during MC, and 86.4% of participants did not feel comfortable taking time off due to the MC, worrying that selection would be affected and about opinions from others.

CONCLUSION

A clear negative impact on perceived performance and injury risk was reported by survey participants. The interaction of physical, psychological, and nutritional factors, and a lack of awareness and education emphasise the need for further comprehensive studies and interventions, with measures such as MC monitoring and profiling, education, and training adaptions to develop openness, knowledge, and understanding.

SOMAScience: A Novel Platform for Multidimensional, Longitudinal Pain Assessment

Chronic pain is one of the most significant health issues in the United States, affecting more than 20% of the population. Despite its contribution to the increasing health crisis, reliable predictors of disease development, progression, or treatment outcomes are lacking. Self-report remains the most effective way to assess pain, but measures are often acquired in sparse settings over short time windows, limiting their predictive ability. In this paper, we present a new mobile health platform called SOMAScience. SOMAScience serves as an easy-to-use research tool for scientists and clinicians, enabling the collection of large-scale pain datasets in single- and multicenter studies by facilitating the acquisition, transfer, and analysis of longitudinal, multidimensional, self-report pain data. Data acquisition for SOMAScience is done through a user-friendly smartphone app, SOMA, that uses experience sampling methodology to capture momentary and daily assessments of pain intensity, unpleasantness, interference, location, mood, activities, and predictions about the next day that provide personal insights into daily pain dynamics. The visualization of data and its trends over time is meant to empower individual users' self-management of their pain. This paper outlines the scientific, clinical, technological, and user considerations involved in the development of SOMAScience and how it can be used in clinical studies or for pain self-management purposes. Our goal is for SOMAScience to provide a much-needed platform for individual users to gain insight into the multidimensional features of their pain while lowering the barrier for researchers and clinicians to obtain the type of pain data that will ultimately lead to improved prevention, diagnosis, and treatment of chronic pain.

When Future Leads to a Moral Present: Future Self-Relatedness Predicts Moral Judgments and Behavior in Everyday Life

Future self-perceptions seem to promote far-sighted decisions in intertemporal choices. Previous work suggested that future self-relatedness, the extent to which we feel similar and connected to our future self, is associated with moral concerns. We aimed to extend these findings to everyday moral judgments and behavior using experience sampling methods. In addition, we assessed how moral foundation concerns mediate the relationship between future self-relatedness and moral behavior. Participants (N = 151) reported their state-levels of future self-relatedness, individualizing, and binding moral foundations and answered whether they performed a moral action five times a day for seven days. Within- and between-participants future self-relatedness predicted daily fluctuations in individualizing and binding moral foundations concerns. On the behavioral level, only within-participants future self-relatedness predicted individualizing moral actions with individualizing moral foundations mediating this effect. Our findings suggest that within- and between-person changes in future self-relatedness might be used to predict everyday moral concerns and behavior.

Balance between solitude and socializing: everyday solitude time both benefits and harms well-being

Two literatures argue that time alone is harmful (i.e., isolation) and valuable (i.e., positive solitude). We explored whether people benefit from a balance between their daily solitude and social time, such that having 'right' quantities of both maximizes well-being. Participants (n = 178) completed a 21-day diary study, which quantified solitude time in hours through reconstructing daily events. This procedure minimized retrospective bias and tested natural variations across time. There was no evidence for a one-size-fits-all 'optimal balance' between solitude and social time. Linear effects suggested that people were lonelier and less satisfied on days in which they spent more hours in solitude. These detrimental relations were nullified or reduced when daily solitude was autonomous (choiceful) and did not accumulate across days; those who were generally alone more were not, on the whole, lonelier. On days in which people spent more time alone they felt less stress and greater autonomy satisfaction (volitional, authentic, and free from pressure). These benefits were cumulative; those who spent more time alone across the span of the study were less stressed and more autonomy satisfied overall. Solitude time risks lowering well-being on some metrics but may hold key advantages to other aspects of well-being. PROTOCOL REGISTRATION: The stage 1 protocol for this Registered Report was accepted in principle on June 1, 2022. The protocol, as accepted by the journal, can be found at: https://doi.org/10.17605/OSF.IO/5KXQ3 .

Emotion Regulation in Couples Across Adulthood

Intimate relationships are hotbeds of emotion. This article presents key findings and current directions in research on couples' emotion regulation across adulthood as a critical context in which older adults not only maintain functioning but may also outshine younger adults. First, I introduce key concepts, defining qualities (i.e., dynamic, coregulatory, bidirectional, bivalent), and measures (i.e., self-report versus performance-based) of couples' emotion regulation. Second, I highlight a socioemotional turn in our understanding of adult development with the advent of socioemotional selectivity theory. Third, I offer a life-span developmental perspective on emotion regulation in couples (i.e., across infancy, adolescence and young adulthood, midlife, and late life). Finally, I present the idea that emotion regulation may shift from "me to us" across adulthood and discuss how emotion regulation in couples may become more important, better, and increasingly consequential (e.g., for relationship outcomes, well-being, and health) with age. Ideas for future research are then discussed.

Visual perspective in autobiographical memories of self-incongruent episodes

It is widely assumed that autobiographical memory relies on an integration of episodic memory with the self-model. We hypothesise that self-memory integration depends critically on self-congruence. More specifically, self-incongruent experiences such as those that elicit shame or guilt may be more difficult to integrate. Self-incongruence may affect both the semantic reports of memories and their phenomenological characteristics, in particular their visual perspective (1PP or 3PP, i.e., field or observer perspective), their affective valence, and their perceived centrality. Diary based memories were assigned to 4 categories (shame, guilt, negative, neutral) and were rated for the different phenomenological dimensions. We used a deep neural network, univariate and multilevel models to assess differences and relationships between different variables. We found that memories that elicited shame (but not guilt) showed more pronounced 3PP as compared to other experiences. Shameful episodes also elicited the most pronounced negative affect. A multilevel analysis revealed that the amount of shame that an episode elicited, and its semantic similarity with shame episodes, predicted higher 3PP, while affective valence did not. Our results show that self-incongruence affects memories both at the level of their semantic reports and their phenomenology, and thus contributes to a mechanistic understanding of self-memory integration.