On Curiosity: A Fundamental Aspect of Personality, a Practice of Network Growth

Validation of the I- and D-type epistemic curiosity scale among young Chinese children and implications on early curiosity nurture

Curiosity, an innate and intrinsic motivation to explore, makes vital contributions to learning in individuals of various ages. Epistemic curiosity centers on the drive to close information gaps and can be classified into joyous exploration and interest (I) and deprivation sensitivity (D) types. Each subtype is associated with different academic achievements, personality traits, emotions, and aspects of creativity. Building on the concept of epistemic curiosity in adults, the I- and D-type Epistemic Curiosity in Young Children (I/D-YC) scale was developed. The purpose of the present study was to validate the Chinese I/D-YC scale for preschoolers. Both exploratory factor analyses of data from 111 parents (Sample 1) and confirmatory factor analyses of data from 389 parents (Sample 2) indicated that the Chinese I/D-YC replicated the two-factor structure of the original scale. The scales' convergent validity was examined with data from 189 parents (Sample 3) and 129 teachers (Sample 4), as its reliability and test-retest reliability was respectively examined with data from 389 to 82 parents (from sample 2). The results established the Chinese I/D-YC scale as a valid and reliable measure of epistemic curious behaviors in young Chinese children. Moreover, the cultivation of epistemic curiosity should weaken inhibition and this might enhance well-being and creativity and learning.

Systematic Curiosity as an Integrative Tool for Human Flourishing: A Conceptual Review and Framework

This paper reviews seventy years of theoretical research and proposes systematic curiosity as an integrative tool for human flourishing with a focus on four key aspects: firstly, acknowledge curiosity's multidimensional nature instead of harmonizing its complex taxonomy; secondly, emphasizing intentional curiosity as opposed to impulsive curiosity; thirdly, prioritizing domain-general curiosity for broader applicability across educational, organizational, and therapeutic settings; and lastly, focusing on curiosity as a developable skill rather than an innate trait. By segmenting systematic curiosity into cognitive, emotional, and behavioral components, and relating these to interactions with the self, others, and the world, the framework aims to apply across the spectrum of human experience. Furthermore, the framework encourages an exploration of various evidence-based activities for flourishing so individuals can discover the most suitable strategies for their specific context. Implications for both theory and practice are examined, limitations are discussed, and avenues for future research are suggested.

Architectural styles of curiosity in global Wikipedia mobile app readership

Intrinsically motivated information seeking is an expression of curiosity believed to be central to human nature. However, most curiosity research relies on small, Western convenience samples. Here, we analyze a naturalistic population of 482,760 readers using Wikipedia's mobile app in 14 languages from 50 countries or territories. By measuring the structure of knowledge networks constructed by readers weaving a thread through articles in Wikipedia, we replicate two styles of curiosity previously identified in laboratory studies: the nomadic "busybody" and the targeted "hunter." Further, we find evidence for another style-the "dancer"-which was previously predicted by a historico-philosophical examination of texts over two millennia and is characterized by creative modes of knowledge production. We identify associations, globally, between the structure of knowledge networks and population-level indicators of spatial navigation, education, mood, well-being, and inequality. These results advance our understanding of Wikipedia's global readership and demonstrate how cultural and geographical properties of the digital environment relate to different styles of curiosity.

Cognitive modelling of concepts in the mental lexicon with multilayer networks: Insights, advancements, and future challenges

The mental lexicon is a complex cognitive system representing information about the words/concepts that one knows. Over decades psychological experiments have shown that conceptual associations across multiple, interactive cognitive levels can greatly influence word acquisition, storage, and processing. How can semantic, phonological, syntactic, and other types of conceptual associations be mapped within a coherent mathematical framework to study how the mental lexicon works? Here we review cognitive multilayer networks as a promising quantitative and interpretative framework for investigating the mental lexicon. Cognitive multilayer networks can map multiple types of information at once, thus capturing how different layers of associations might co-exist within the mental lexicon and influence cognitive processing. This review starts with a gentle introduction to the structure and formalism of multilayer networks. We then discuss quantitative mechanisms of psychological phenomena that could not be observed in single-layer networks and were only unveiled by combining multiple layers of the lexicon: (i) multiplex viability highlights language kernels and facilitative effects of knowledge processing in healthy and clinical populations; (ii) multilayer community detection enables contextual meaning reconstruction depending on psycholinguistic features; (iii) layer analysis can mediate latent interactions of mediation, suppression, and facilitation for lexical access. By outlining novel quantitative perspectives where multilayer networks can shed light on cognitive knowledge representations, including in next-generation brain/mind models, we discuss key limitations and promising directions for cutting-edge future research.

Exploration patterns shape cognitive map learning

Spontaneous, volitional spatial exploration is crucial for building up a cognitive map of the environment. However, decades of research have primarily measured the fidelity of cognitive maps after discrete, controlled learning episodes. We know little about how cognitive maps are formed during naturalistic free exploration. Here, we investigated whether exploration trajectories predicted cognitive map accuracy, and how these patterns were shaped by environmental structure. In two experiments, participants freely explored a previously unfamiliar virtual environment. We related their exploration trajectories to a measure of how long they spent in areas with high global environmental connectivity (integration, as assessed by space syntax). In both experiments, we found that participants who spent more time on paths that offered opportunities for integration formed more accurate cognitive maps. Interestingly, we found no support for our pre-registered hypothesis that self-reported trait differences in navigation ability would mediate this relationship. Our findings suggest that exploration patterns predict cognitive map accuracy, even for people who self-report low ability, and highlight the importance of considering both environmental structure and individual variability in formal theory- and model-building.

A meta-analytic investigation of the impact of curiosity-enhancing interventions

Curiosity is associated with a number of beneficial outcomes, such as greater life satisfaction, more work engagement and better academic performance. The connection between curiosity and beneficial outcomes supports the importance of examining whether it is possible to increase curiosity and to investigate what approaches may be effective in facilitating curiosity. This meta-analysis consolidated the effects of curiosity-enhancing interventions. Across 41 randomized controlled trials, with a total of 4,496 participants, interventions significantly increased curiosity. The weighted effect size was Hedges' g = 0.57 [0.44, 0.70]. These results indicated that interventions were effective across a variety of intervention principles used, with participants in various age groups, across various measures, and over different time periods. Interventions aiming to increase general curiosity showed larger effect sizes than interventions aiming to increase realm-specific curiosity. Interventions incorporating mystery or game playing had especially high effect sizes. Because higher levels of curiosity tend to be associated with various beneficial outcomes, the finding that across studies interventions are effective in increasing curiosity holds promise for future efforts to increase curiosity to bring about additional benefits.

The growth and form of knowledge networks by kinesthetic curiosity

Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information. Despite its importance, curiosity has been challenging to computationally model because the practice of curiosity often flourishes without specific goals, external reward, or immediate feedback. Here, we show how network science, statistical physics, and philosophy can be integrated into an approach that coheres with and expands the psychological taxonomies of specific-diversive and perceptual-epistemic curiosity. Using this interdisciplinary approach, we distill functional modes of curious information seeking as searching movements in information space. The kinesthetic model of curiosity offers a vibrant counterpart to the deliberative predictions of model-based reinforcement learning. In doing so, this model unearths new computational opportunities for identifying what makes curiosity curious.

Within-person variability in curiosity during daily life and associations with well-being

OBJECTIVE

Curiosity promotes engagement in novel situations and the accruement of resources that promote well-being. An open question is the extent to which curiosity lability, the degree to which curiosity fluctuates over short timescales, impacts well-being.

METHOD

We use data from a 21-day daily diary as well as trait measures in 167 participants (mean age = 25.37 years, SD = 7.34) to test (a) the importance of curiosity lability for depression, flourishing, and life satisfaction, (b) day-to-day associations among curiosity and happiness, depressed mood, anxiety, and physical activity, and (c) the role of day's mood as a mediator between physical activity and curiosity.

RESULTS

We observe positive associations among curiosity lability and depression, as well as negative associations among curiosity lability and both life satisfaction and flourishing. Curiosity is higher on days of greater happiness and physical activity, and lower on days of greater depressed mood. We find evidence consistent with day's depressed mood and happiness being mediators between physical activity and curiosity.

CONCLUSIONS

Greater consistency in curiosity is associated with well-being. We identify several potential sources of augmentation and blunting of curiosity in daily life and provide support for purported mechanisms linking physical activity to curiosity via mood.

Forma mentis networks quantify crucial differences in STEM perception between students and experts

In order to investigate how high school students and researchers perceive science-related (STEM) subjects, we introduce forma mentis networks. This framework models how people conceptually structure their stance, mindset or forma mentis toward a given topic. In this study, we build forma mentis networks revolving around STEM and based on psycholinguistic data, namely free associations of STEM concepts (i.e., which words are elicited first and associated by students/researchers reading "science"?) and their valence ratings concepts (i.e., is "science" perceived as positive, negative or neutral by students/researchers?). We construct separate networks for (Ns = 159) Italian high school students and (Nr = 59) interdisciplinary professionals and researchers in order to investigate how these groups differ in their conceptual knowledge and emotional perception of STEM. Our analysis of forma mentis networks at various scales indicate that, like researchers, students perceived "science" as a strongly positive entity. However, differently from researchers, students identified STEM subjects like "physics" and "mathematics" as negative and associated them with other negative STEM-related concepts. We call this surrounding of negative associations a negative emotional aura. Cross-validation with external datasets indicated that the negative emotional auras of physics, maths and statistics in the students' forma mentis network related to science anxiety. Furthermore, considering the semantic associates of "mathematics" and "physics" revealed that negative auras may originate from a bleak, dry perception of the technical methodology and mnemonic tools taught in these subjects (e.g., calculus rules). Overall, our results underline the crucial importance of emphasizing nontechnical and applied aspects of STEM disciplines, beyond purely methodological teaching. The quantitative insights achieved through forma mentis networks highlight the necessity of establishing novel pedagogic and interdisciplinary links between science, its real-world complexity, and creativity in science learning in order to enhance the impact of STEM education, learning and outreach activities.

Seizing an opportunity

As the techniques available to neuroscientists to probe the inner workings of the brain become more powerful, the volume of data generated increases exponentially and the tools used to analyze these data become ever more sophisticated. Alongside this feverish press into the future comes a growing interest in the use of new data technologies to study old literary and philosophical texts. And as researchers develop new methods to unearth patterns hidden within complex data, it is natural to think of these old texts as simply more data reflecting the intricacies of the human mind, waiting to succumb to the powerful, objective, and reliable perception of machines. Here we argue that historical texts are more than prone booty to be exploited: rather, they offer researchers in neuroscience, philosophy, and literature the opportunity to work together, to learn from and enrich each other's methodologies. Using the study of human curiosity as an illustration, we describe our vision for a collaborative approach to exploring the mysteries of the mind and human behavior.