Who should be searching? Differences in personality can affect visual search accuracy

Prediction of Attention Groups and Big Five Personality Traits from Gaze Features Collected from an Outlier Search Game

This study explores the intersection of personality, attention and task performance in traditional 2D and immersive virtual reality (VR) environments. A visual search task was developed that required participants to find anomalous images embedded in normal background images in 3D space. Experiments were conducted with 30 subjects who performed the task in 2D and VR environments while their eye movements were tracked. Following an exploratory correlation analysis, we applied machine learning techniques to investigate the predictive power of gaze features on human data derived from different data collection methods. Our proposed methodology consists of a pipeline of steps for extracting fixation and saccade features from raw gaze data and training machine learning models to classify the Big Five personality traits and attention-related processing speed/accuracy levels computed from the Group Bourdon test. The models achieved above-chance predictive performance in both 2D and VR settings despite visually complex 3D stimuli. We also explored further relationships between task performance, personality traits and attention characteristics.

Individual differences in visual search: A systematic review of the link between visual search performance and traits or abilities

Visual search (VS) comprises a class of tasks that we typically perform several times during a day and requires intentionally scanning (with or without moving the eyes) the environment for a specific target (be it an object or a feature) among distractor stimuli. Experimental research in lab-based or real-world settings has offered insight into its underlying neurocognitive mechanisms from a nomothetic point of view. A lesser-known but rapidly growing body of quasi-experimental and correlational research has explored the link between individual differences and VS performance. This combines different research traditions and covers a wide range of individual differences in studies deploying a vast array of VS tasks. As such, it is a challenge to determine whether any associations highlighted in single studies are robust when considering the wider literature. However, clarifying such relationships systematically and comprehensively would help build more accurate models of VS, and it would highlight promising directions for future research. This systematic review provides an up to date and comprehensive synthesis of the existing literature investigating associations between common indices of performance in VS tasks and measures of individual differences mapped onto four categories of cognitive abilities (short-term working memory, fluid reasoning, visual processing and processing speed) and seven categories of traits (Big Five traits, trait anxiety and autistic traits). Consistent associations for both traits (in particular, conscientiousness, autistic traits and trait anxiety - the latter limited to emotional stimuli) and cognitive abilities (particularly visual processing) were identified. Overall, however, informativeness of future studies would benefit from checking and reporting the reliability of all measurement tools, applying multiplicity correction, using complementary techniques, study preregistration and testing why, rather than only if, a robust relation between certain individual differences and VS performance exists.

Individual differences in inattentional blindness

People often fail to notice unexpected objects and events when they are performing an attention-demanding task, a phenomenon known as inattentional blindness. We might expect individual differences in cognitive ability or personality to predict who will and will not notice unexpected objects given that people vary in their ability to perform attention-demanding tasks. We conducted a comprehensive literature search for empirical inattentional blindness reports and identified 38 records that included individual difference measures and met our inclusion criteria. From those, we extracted individual difference effect sizes for 31 records which included a total of 74 distinct, between-groups samples with at least one codable individual difference measure. We conducted separate meta-analyses of the relationship between noticing/missing an unexpected object and scores on each of the 14 cognitive and 19 personality measures in this dataset. We also aggregated across personality measures reflecting positive/negative affectivity or openness/absorption and cognitive measures of interference, attention breadth, and memory. Collectively, these meta-analyses provided little evidence that individual differences in ability or personality predict noticing of an unexpected object. A robustness analysis that excluded samples with extremely low numbers of people who noticed or missed produced similar results. For most measures, the number of samples and the total sample sizes were small, and larger studies are needed to examine individual differences in inattentional blindness more systematically. However, the results are consistent with the idea that noticing of unexpected objects or events differs from deliberate attentional control tasks in that it is not reliably predicted by individual differences in cognitive ability.

Inattentional blindness in medicine

People often fail to notice unexpected stimuli when their attention is directed elsewhere. Most studies of this "inattentional blindness" have been conducted using laboratory tasks with little connection to real-world performance. Medical case reports document examples of missed findings in radiographs and CT images, unintentionally retained guidewires following surgery, and additional conditions being overlooked after making initial diagnoses. These cases suggest that inattentional blindness might contribute to medical errors, but relatively few studies have directly examined inattentional blindness in realistic medical contexts. We review the existing literature, much of which focuses on the use of augmented reality aids or inspection of medical images. Although these studies suggest a role for inattentional blindness in errors, most of the studies do not provide clear evidence that these errors result from inattentional blindness as opposed to other mechanisms. We discuss the design, analysis, and reporting practices that can make the contributions of inattentional blindness unclear, and we describe guidelines for future research in medicine and similar contexts that could provide clearer evidence for the role of inattentional blindness.

Emphasizing responder speed or accuracy modulates but does not abolish the distractor-induced quitting effect in visual search

When a highly salient distractor is present in a search array, it speeds target absent visual search and increases errors during target present visual search, suggesting lowered quitting thresholds (Moher in Psychol Sci 31(1):31-42, 2020). Missing a critical target in the presence of a highly salient distractor can have dire consequences in real-world search tasks where accurate target detection is crucial, such as baggage screening. As such, the current study examined whether emphasizing either accuracy or speed would eliminate the distractor-generated quitting threshold effect (QTE). Three blocks of a target detection search task which included a highly salient distractor on half of all trials were used. In one block, participants received no instructions or feedback regarding performance. In the remaining two blocks, they received instructions and trial-by-trial feedback that either emphasized response speed or response accuracy. Overall, the distractor lowered quitting thresholds, regardless of whether response speed or response accuracy was emphasized in a block of trials. However, the effect of the distractor on target misses was smaller when accuracy was emphasized. It, therefore, appears that while the distractor QTE is not easily eradicated by explicit instructions and feedback, it can be shifted. As such, future research should examine the applicability of these and similar strategies in real-world search scenarios.

Sound-induced flash illusions at different spatial locations were affected by personality traits

Sound-induced flash illusion (SiFI) is an auditory-dominated effect in which observers will misperceive the number of flashes due to simultaneously presented beeps, which includes fission and fusion illusions. Although several individual differences have been found in SiFI, little is known about the effect of personality traits. In the present study, we presented flashes in near space and beeps in far space (Vnear_Afar) and flashes in far space and beeps in near space (Vfar_Anear) to better approximate the real world. We collected 103 participants' Big Five questionnaire results and their SiFI task performance to investigate the difference in trait level on the SiFI in the performance of accuracy, d' and c. The results show that all five personality traits had certain effects on the SiFI to different degrees, and different personality traits played different roles in the fission illusion and fusion illusion. The high agreeableness group was more prone to the fission illusion, and the report criteria were less strict. The report criteria of the low neuroticism group were stricter for the fusion illusion. The extraversion, conscientiousness and low openness groups were more prone to the fusion illusion in the Vnear_Afar condition than in the Vfar_Anear condition. The study indicated that personality traits were important but easily overlooked factors in multisensory illusion, which might make a difference between the fission illusion and the fusion illusion.

Test-retest reliability for common tasks in vision science

Research in perception and attention has typically sought to evaluate cognitive mechanisms according to the average response to a manipulation. Recently, there has been a shift toward appreciating the value of individual differences and the insight gained by exploring the impacts of between-participant variation on human cognition. However, a recent study suggests that many robust, well-established cognitive control tasks suffer from surprisingly low levels of test-retest reliability (Hedge, Powell, & Sumner, 2018b). We tested a large sample of undergraduate students (n = 160) in two sessions (separated by 1-3 weeks) on four commonly used tasks in vision science. We implemented measures that spanned a range of perceptual and attentional processes, including motion coherence (MoCo), useful field of view (UFOV), multiple-object tracking (MOT), and visual working memory (VWM). Intraclass correlations ranged from good to poor, suggesting that some task measures are more suitable for assessing individual differences than others. VWM capacity (intraclass correlation coefficient [ICC] = 0.77), MoCo threshold (ICC = 0.60), UFOV middle accuracy (ICC = 0.60), and UFOV outer accuracy (ICC = 0.74) showed good-to-excellent reliability. Other measures, namely the maximum number of items tracked in MOT (ICC = 0.41) and UFOV number accuracy (ICC = 0.48), showed moderate reliability; the MOT threshold (ICC = 0.36) and UFOV inner accuracy (ICC = 0.30) showed poor reliability. In this paper, we present these results alongside a summary of reliabilities estimated previously for other vision science tasks. We then offer useful recommendations for evaluating test-retest reliability when considering a task for use in evaluating individual differences.

Conscientiousness protects visual search performance from the impact of fatigue

Visual search-looking for targets among distractors-underlies many critical professions (e.g., radiology, aviation security) that demand optimal performance. As such, it is important to identify, understand, and ameliorate negative factors such as fatigue-mental and/or physical tiredness that leads to diminished function. One way to reduce the detrimental effects is to minimize fatigue itself (e.g., scheduled breaks, adjusting pre-shift behaviors), but this is not always possible or sufficient. The current study explored whether some individuals are less susceptible to the impact of fatigue than others; specifically, if conscientiousness, the ability to control impulses and plan, moderates fatigue's impact. Participants (N = 374) self-reported their energy (i.e., the inverse of fatigue) and conscientiousness levels and completed a search task. Self-report measures were gathered prior to completing the search task as part of a large set of surveys so that participants could not anticipate any particular research question. Preregistered linear mixed-effect analyses revealed main effects of energy level (lower state energy related to lower accuracy) and conscientiousness (more trait conscientiousness related to higher accuracy), and, critically, a significant interaction between energy level and conscientiousness. A follow-up analysis, that was designed to illustrate the nature of the primary result, divided participants into above- vs. below-median conscientiousness groups and revealed a significant negative relationship between energy level and accuracy for the below median, but not above-median, group. The results raise intriguing operational possibilities for visual search professions, with the most direct implication being the incorporation of conscientiousness measures to personnel selection processes.

Personality Traits That Affect Travel Intentions during Pandemic COVID-19: The Case Study of Serbia

The pandemic caused by COVID-19 has enormous effects on peoples’ lives and on the global economy. The outbreak and effects of COVID-19 have resulted in fears, concerns, and anxiety among people all around the world. The aim of this study is to investigate the relationship between the fear of COVID-19, travel anxiety, and travel intention among residents in Serbia. In addition to the above, the aim of the study was to examine the impact of personality traits on the fear of COVID-19, travel anxiety, and travel intentions. To enhance the understanding of the relationship between the mentioned variables, this study proposes a research model based on the use of measurement scales from the existing studies to develop the questionnaire. The standard paper-and-pen survey was used for data collection from the respondents from Serbia. The total sample include 987 respondents. It was determined that Travel intention was negatively influenced by Neuroticism and Conscientiousness, but positively by Extroversion and Openness. The supposed Agreeableness did not have a significant effect on Travel intention. This study contributes to understanding the respondents’ behavior during pandemic of COVID-19, and their responses to the crisis according to their personality traits might have practical implications in the travel sector.

Interactive influences of emotion and extraversion on visual attention

INTRODUCTION

Emotion has been shown to influence selective visual attention. However, studies in this field have revealed contradictory findings regarding the nature of this influence. One possible explanation for the variation in findings is that affective inter-individual differences impact both attention and emotion and may therefore moderate any influence of emotion on attention. The current work is a novel investigation of the effects of induced emotional states and the traits of extraversion and neuroticism on visual attention. This allowed a direct investigation of any impact of extraversion and neuroticism on the way in which emotion influences attention.

METHODS

Participants were induced into positive, neutral, and negative emotional states before completing a change detection flicker task in which they were required to locate a change to a real-world scene as quickly and accurately as possible.

RESULTS

Participants scoring higher in extraversion were more accurate but slower at detecting changes. Importantly, this was particularly evident when induced into a negative emotional state compared to a neutral emotional state. Neuroticism had no impact on attention.

CONCLUSIONS

The current study provides evidence that extraversion can moderate the influence of negative emotion upon visual attention and may help to explain some of the contradictory findings in this research area. When considered independently, increased trait levels of extraversion were associated with improved change detection. Individuals higher in extraversion appear better equipped to regulate negative emotion compared to individuals lower in extraversion, supporting research linking extraversion to affective reactivity and models of psychopathology.

Perceptual Load and Sex-Specific Personality Traits

The impact of sex-specific personality traits has often been investigated for visuospatial tasks such as mental rotation, but less is known about the influence of personality traits on visual search. We investigated whether the Big Five personality traits Extroversion (E), Openness (O), Agreeableness (A), Conscientiousness (C), and Neuroticism (N) and the Autism Quotient (AQ) influence visual search in a sample of N = 65 men and women. In three experiments, we varied stimulus complexity and predictability. As expected, latencies were longer when the target was absent. Pop-out search was faster than conjunction search. A large number of distracters slowed down reaction times (RTs). When stimulus complexity was not predictable in Experiment 3, this reduced search accuracy by about half. As could be predicted based on previous research on long RT tails, conjunction search in target absent trials revealed the impact of personality traits. The RT effect in visual search of the accelerating "less social" AQ score was specific to men, while the effects of the "more social" decelerating Big Five Inventory factors agreeableness and conscientiousness were specific to women. Thus, sex-specific personality traits could explain decision-making thresholds, while visual stimulus complexity yielded an impact of the classic personality traits neuroticism and extroversion.

Foraging behavior in visual search: A review of theoretical and mathematical models in humans and animals

Visual search (VS) is a fundamental task in daily life widely studied for over half a century. A variant of the classic paradigm-searching one target among distractors-requires the observer to look for several (undetermined) instances of a target (so-called foraging) or several targets that may appear an undefined number of times (recently named as hybrid foraging). In these searches, besides looking for targets, the observer must decide how much time is needed to exploit the area, and when to quit the search to eventually explore new search options. In fact, visual foraging is a very common search task in the real world, probably involving additional cognitive functions than typical VS. It has been widely studied in natural animal environments, for which several mathematical models have been proposed, and just recently applied to humans: Lévy processes, composite and area-restricted search models, marginal value theorem, and Bayesian learning (among others). We conducted a systematic search in the literature to understand those mathematical models and study its applicability in human visual foraging. The review suggests that these models might be the first step, but they seem to be limited to fully comprehend foraging in visual search. There are essential variables involving human visual foraging still to be established and understood. Indeed, a jointly theoretical interpretation based on the different models reviewed could better account for its understanding. In addition, some other relevant variables, such as certain individual differences or time perception might be crucial to understanding visual foraging in humans.

Where's the wine? Heavy social drinkers show attentional bias towards alcohol in a visual conjunction search task

BACKGROUND AND AIMS

Research indicates that high consumers of alcohol exhibit attentional bias (AB) towards alcohol-related cues, suggestive of a cognitive mechanism that might drive substance seeking. Many tasks that measure AB (e.g. visual probe, addiction Stroop), however, are limited by their reliance on non-appetitive control cues, the serial presentation of stimuli and their poor internal reliability. The current study employed a visual conjunction search (VCS) task capable of presenting multiple alcoholic and non-alcoholic appetitive cues simultaneously to assess whether social drinkers attend selectively to alcoholic stimuli. To assess the construct validity of this task, we examined whether alcohol consumption and related problems, subjective craving and drinking motives predict alcohol-specific AB.

DESIGN AND SETTING

A VCS task was performed in a laboratory setting, which required participants to detect the presence of appetitive alcoholic (wine, beer) and non-alcoholic (cola, lemonade) targets within arrays of matching and non-matching distractors.

PARTICIPANTS

Data from 99 participants were assessed [mean_age  = 20.77, standard deviation (SD) = 2.98; 64 (65%) females], with 81.8% meeting the threshold for harmful alcohol consumption (mean_AUDIT  = 12.89, SD = 5.79).

MEASUREMENTS

Self-reports of alcohol consumption and related problems [Alcohol Use Disorders Identification Test (AUDIT)], subjective craving (Alcohol Craving Questionnaire Short Form) and drinking motives (Drinking Motives Questionnaire Short Form) were obtained, and the VCS task measured response times for the correct detection of alcoholic and non-alcoholic targets.

FINDINGS

Participants were significantly quicker to detect alcoholic relative to non-alcoholic appetitive targets (P < 0.001, d_z  = 0.41), which was predicted positively by AUDIT scores (P = 0.013, R²  = 0.06%). The VCS task achieved excellent reliability (α > 0.79), superior to other paradigms.

CONCLUSIONS

The visual conjunction search task appears to be a highly reliable method for assessing alcohol-related attentional bias, and shows that heavy social drinkers prioritize alcoholic cues in their immediate environment.

"Satisfaction" in search: Individuals' own search expectations predict their errors in multiple-target search

When people search for multiple targets in a display, finding one target hinders their ability to find additional targets. These errors were originally proposed to stem from a "satisfaction" with finding a first target that leads people to prematurely stop searching. However, empirical evidence for this premise has been elusive, prompting consideration of other theories. We returned to the satisfaction proposal and assessed whether people generate expectations regarding the likelihood of multiple targets that lead to search biases that, in turn, predict the rates at which additional targets are missed. Participants searched for one or two targets among distractors. To measure accuracy, most trials allowed search to progress to completion. The remaining trials terminated when participants had found their first target. In these cases, participants guessed whether an additional (unfound) target was present. The time needed to find a first target was inversely related to the searchers' expectations that a second target would be present. These expectations underestimated objective reality, and the strength of an individual's one-target bias was directly related to his or her likelihood of missing subsequent targets. Thus, people's expectations-based on their own behavior-likely impacted search performance, providing a novel mechanistic explanation for the previously posited "satisfaction-of-search" errors.

The relationship between driving skill and driving behavior: Psychometric adaptation of the Driver Skill Inventory in China

Most road accidents are caused by human factors alone or in combination with other factors. Deficits in driving skill are a human factor that contributes to accidents. It is important to focus on driving skills to reduce traffic accidents and enhance safe driving. In this study, we adopted a Chinese version of the Driver Skill Inventory (DSI) and explored its correlation with driving behaviors, sociodemographic factors and personality. A total of 295 licensed drivers voluntarily completed a survey that covered the DSI, the Driver Behavior Questionnaire, the Positive Driver Behavior Scale, self-reported traffic accidents, penalty points and fines, the Big Five Inventory, and sociodemographic parameters. First, the results of principal axis analysis on the DSI yielded two clear factors: perceptual-motor skills and safety skills. Second, both perceptual-motor skills and safety skills were positively correlated with positive behaviors. Safety skills were negatively correlated with all aberrant driving behaviors (e.g., aggressive violations, ordinary violations, errors, and lapses), whereas perceptual-motor skills were negatively correlated with errors and lapses. Third, with regard to penalties, safety skills were negatively associated with penalty fines and points received within the past year, whereas perceptual-motor skills showed no such correlation. Fourth, with regard to sociodemographic parameters, perceptual-motor skills were positively correlated with years of holding a driving license, weekly driving distance and annual driving distance. Men reported higher perceptual-motor skills than women, whereas safety skills were unrelated to gender. Fifth, structural equation modeling was conducted to test the effects of personality traits on driving skill. The results showed that conscientiousness, neuroticism and openness to experience were significant predictors of perceptual-motor skills, whereas agreeableness and conscientiousness were significant predictors of safety skills. Overall, based on these results, the Chinese version of the DSI has acceptable internal consistency and a stable structure; thus, it represents a useful tool to measure driving skill. Moreover, the measurement of personality traits, which are important individual factors closely linked to driving skill, can aid in the education of professional drivers or to inform preventative and educational activities that focus on personality traits in addition to knowledge.

Predicting Airport Screening Officers' Visual Search Competency With a Rapid Assessment

Objective The study's objective was to assess a new personnel selection and assessment tool for aviation security screeners. A mobile app was modified to create a tool, and the question was whether it could predict professional screeners' on-job performance. Background A variety of professions (airport security, radiology, the military, etc.) rely on visual search performance-being able to detect targets. Given the importance of such professions, it is necessary to maximize performance, and one means to do so is to select individuals who excel at visual search. A critical question is whether it is possible to predict search competency within a professional search environment. Method Professional searchers from the USA Transportation Security Administration (TSA) completed a rapid assessment on a tablet-based X-ray simulator (XRAY Screener, derived from the mobile technology app Airport Scanner; Kedlin Company). The assessment contained 72 trials that were simulated X-ray images of bags. Participants searched for prohibited items and tapped on them with their finger. Results Performance on the assessment significantly related to on-job performance measures for the TSA officers such that those who were better XRAY Screener performers were both more accurate and faster at the actual airport checkpoint. Conclusion XRAY Screener successfully predicted on-job performance for professional aviation security officers. While questions remain about the underlying cognitive mechanisms, this quick assessment was found to significantly predict on-job success for a task that relies on visual search performance. Application It may be possible to quickly assess an individual's visual search competency, which could help organizations select new hires and assess their current workforce.