The growth and form of knowledge networks by kinesthetic curiosity

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.

Boredom and curiosity: the hunger and the appetite for information

Boredom and curiosity are common everyday states that drive individuals to seek information. Due to their functional relatedness, it is not trivial to distinguish whether an action, for instance in the context of a behavioral experiment, is driven by boredom or curiosity. Are the two constructs opposite poles of the same cognitive mechanism, or distinct states? How do they interact? Can they co-exist and complement each other? Here, we systematically review similarities and dissimilarities of boredom and curiosity with respect to their subjective experience, functional role, and neurocognitive implementation. We highlight the usefulness of Information Theory for formalizing information-seeking in the context of both states and provide guidelines for their experimental investigation. Our emerging view is that despite their distinction on an experiential level, boredom and curiosity are closely related on a functional level, providing complementary drives on information-seeking: boredom, similar to hunger, arises from a lack of information and drives individuals to avoid contexts with low information yield, whereas curiosity constitutes a mechanism similar to appetite, pulling individuals toward specific sources of information. We discuss predictions arising from this perspective, concluding that boredom and curiosity are independent, but coalesce to optimize behavior in environments providing varying levels of information.

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.

Expanding horizons in reinforcement learning for curious exploration and creative planning

Curiosity and creativity are expressions of the trade-off between leveraging that with which we are familiar or seeking out novelty. Through the computational lens of reinforcement learning, we describe how formulating the value of information seeking and generation via their complementary effects on planning horizons formally captures a range of solutions to striking this balance.

An energizing role for motivation in information-seeking during the early phase of the COVID-19 pandemic

The COVID-19 pandemic has highlighted the importance of understanding and managing information seeking behavior. Information-seeking in humans is often viewed as irrational rather than utility maximizing. Here, we hypothesized that this apparent disconnect between utility and information-seeking is due to a latent third variable, motivation. We quantified information-seeking, learning, and COVID-19-related concern (which we used as a proxy for motivation regarding COVID-19 and the changes in circumstance it caused) in a US-based sample (n = 5376) during spring 2020. We found that self-reported levels of COVID-19 concern were associated with directed seeking of COVID-19-related content and better memory for such information. Interestingly, this specific motivational state was also associated with a general enhancement of information-seeking for content unrelated to COVID-19. These effects were associated with commensurate changes to utility expectations and were dissociable from the influence of non-specific anxiety. Thus, motivation both directs and energizes epistemic behavior, linking together utility and curiosity.

Information-seeking behavior in humans is often viewed as irrational rather than utility maximizing. Here the authors describe data obtained in Spring 2020 showing that participants’ concern about COVID-19 was related not only to their drive to seek information about the virus, but also to their curiosity about other more general topics.

Neurophysiological Evidence for Cognitive Map Formation during Sequence Learning

Humans deftly parse statistics from sequences. Some theories posit that humans learn these statistics by forming cognitive maps, or underlying representations of the latent space which links items in the sequence. Here, an item in the sequence is a node, and the probability of transitioning between two items is an edge. Sequences can then be generated from walks through the latent space, with different spaces giving rise to different sequence statistics. Individual or group differences in sequence learning can be modeled by changing the time scale over which estimates of transition probabilities are built, or in other words, by changing the amount of temporal discounting. Latent space models with temporal discounting bear a resemblance to models of navigation through Euclidean spaces. However, few explicit links have been made between predictions from Euclidean spatial navigation and neural activity during human sequence learning. Here, we use a combination of behavioral modeling and intracranial encephalography (iEEG) recordings to investigate how neural activity might support the formation of space-like cognitive maps through temporal discounting during sequence learning. Specifically, we acquire human reaction times from a sequential reaction time task, to which we fit a model that formulates the amount of temporal discounting as a single free parameter. From the parameter, we calculate each individual's estimate of the latent space. We find that neural activity reflects these estimates mostly in the temporal lobe, including areas involved in spatial navigation. Similar to spatial navigation, we find that low-dimensional representations of neural activity allow for easy separation of important features, such as modules, in the latent space. Lastly, we take advantage of the high temporal resolution of iEEG data to determine the time scale on which latent spaces are learned. We find that learning typically happens within the first 500 trials, and is modulated by the underlying latent space and the amount of temporal discounting characteristic of each participant. Ultimately, this work provides important links between behavioral models of sequence learning and neural activity during the same behavior, and contextualizes these results within a broader framework of domain general cognitive maps.