United States

Previous research has shown that gestures help people think and solve problems more successfully. Recent studies have also found that encouraging gesture use helps generating new creative ideas and enhances verbal improvisation. Moreover, fluid arm movements have been associated with improving the ability to connect remote associates. Research is still limited with emphasis on divergent thinking and the mechanisms behind the gesture-creativity interplay are not clear. This study examined whether encouraging gesture use could enhance the ability to connect both verbal and visual remote associates of young adults (N = 90) and hypothesised that mental imagery skills could facilitate that relationship. Our preliminary results showed that encouraging gestures did not improve remote association scores, however, mental imagery ability was a significant predictor of verbal remote associates’ scores when gestures were encouraged. We suggest that individuals who have higher mental imagery skills might benefit more from gestures for visualising verbal information.

CogSci 2021

Does encouraging gesture use help us connect remote associations?: The role of mental imagery

### Looking for Cogsci 2023? Please [click here](https://underline.io/events/405/reception) to switch to 2023 edition.


**Dear Colleagues,**

Welcome to the 43rd Annual Conference of the Cognitive Science Society! 

This year’s conference brings together the latest research from all Cognitive Science and also highlights this year’s theme **Comparative Cognition: Animal Minds.** 

The program features four plenary speakers: Friederike Range (University of Veterinary Medicine, Vienna), Onur Güntürkün (Ruhr University Bochum), Julia Fischer (University of Göttingen), and Erich Jarvis (The Rockefeller University). The keynotes and invited symposia showcase the broad spectrum of ideas that encompass the conference theme of comparative cognition. 

Further, the program includes the Rumelhart Prize keynote presentation by Susan Goldin-Meadow (University of Chicago), and symposia to celebrate the winner of the Elman Prize: Wei Ji Ma (New York University), the Heineken Award winner Robert Zatorre (McGill University), and the Robert J. Glushko Dissertation Prizes session.

The program committee for CogSci 2021 received 1,025 submissions, including 710 full papers, 275 member abstracts, 8 publication-based talks, as well as 15 proposals for symposia, and 17 for workshops and tutorials. After a rigorous review process, the committee selected 152 papers for oral presentation and inclusion in the conference proceedings (14.8%), 332 papers for poster presentation and inclusion in the proceedings (32.4%), and 175 papers for poster presentation with inclusion of abstracts in the proceedings (17.1%) We also selected 275 submitted member abstracts. In addition, we accepted 6 publication-based talks, 12 symposia, and 9 workshops and tutorials to make for an exciting and inclusive program.

We hope that you enjoy the conference this year!<br><br>

**Your Program Chairs,**
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**Learn more about the Vienna Cognitive Science Hub at the University of Vienna, hosts of CogSci 2021**

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To review the proceedings for the conference or review the searchable program, please visit the [website](https://cognitivesciencesociety.org/program/).


The Cognitive Science Society brings together researchers from around the world who hold a common goal: understanding the nature of the human mind. The mission of the Society is to promote Cognitive Science as a discipline, and to foster scientific interchange among researchers in various areas of study, including Artificial Intelligence, Linguistics, Anthropology, Psychology, Neuroscience, Philosophy, and Education. The Society is a non-profit professional organization and its activities include sponsoring an annual conference and publishing the journals Cognitive Science and TopiCS.

poster

Research has long investigated how knowledge about the world is connected by meaningful, semantic links. Much of this research has focused on a specific type of semantic link known as a taxonomic link, which connects concepts belonging to the same semantic category. However, many inconsistencies have emerged regarding how and when this specific type of semantic link is formed. The goal of the present study was to investigate this contradicting research and provide an explanation for the inconsistent results. To do this, we examined the linguistic environment of stimuli sets from three studies that either supported or did not support protracted taxonomic development. Results provided evidence that the idea that semantic links between members of taxonomic categories in early development may be based on simple co-occurrences in language.

The Mystery of Early Taxonomic Development

Widely recognized in differential psychology, but less so in cognitive science, the positive manifold is the phenomena of all cognitive tests inter-correlating positively. Frequently demonstrated in people, it can also be observed in non-human species. With 217 Ecuadorian adult participants, who performed 11 cognitive tests, we show that all 55 pairwise inter-correlations are positive, and of large magnitude. Additionally, factor analysis revealed a single underlying general, or g factor, often identified as general intelligence. This robustly replicates the positive manifold in a non- WEIRD (Western, Educated, Industrialized, Rich, Democratic) context. We further demonstrate that tests of lexical knowledge, such as word pronunciation, have particularly high loadings on g. We explore explanations for the positive manifold, and the implications for understanding the mind as being composed of independent cognitive processing modules. We propose that the positive manifold reveals a neglected but important role of lexical-conceptual knowledge in high-level, top-down, domain-general cognitive processing.

A Demonstration of The Positive Manifold of Cognitive Test Inter-correlations, and how it Relates to General Intelligence, Modularity, and Lexical Knowledge

Category production tasks (aka semantic fluency) typically concentrate on concrete categories, meaning little is known about abstract categories and potential differences in their structure. Using a category production task for 67 concrete (e.g., animals, tools) and 50 abstract (e.g., science, emotion) categories, we investigated differences in produced member concepts. Abstract categories were smaller than concrete categories, their member concepts were generated more slowly, and had longer and more phonologically-distinct names. Abstract category members were grounded in sensorimotor experience (i.e., with high sensorimotor strength), though overall to a lesser extent than concrete category members. Several ostensibly abstract categories appeared amongst the highest-rated in sensorimotor strength (e.g., sport) while some ostensibly concrete categories were amongst the lowest-rated (e.g., chemical element). The data highlight linguistic and semantic differences in concrete and abstract category structure, but also that they share a common sensorimotor grounding.

Exploring the Structure and Grounding of Concrete and Abstract Categories

Prior work demonstrates that humans represent the approximate number of items across multiple sets simultaneously. Here we investigated whether adults can approximately divide multiple distinct overlapping sets simultaneously. Participants viewed arrays with dots of one to four colors (potential dividends) and a non-symbolic divisor of 2-4. Participants then estimated the quotient of the division operation. On each trial a cue indicated whether to divide over the superset of all dots or a color subset. The cue was presented before or after the brief presentation of the dividend array. We found that the capacity to divide over a pre-selected subset was not affected by set size. By comparing the estimation error between the cue-before and cue-after conditions, we determined that a substantial proportion of participants can approximately divide three ensembles simultaneously (two subsets plus the superset). These findings demonstrate the computational efficiency and possible utility of ensemble representations.

Approximate division on multiple visual ensembles

While most models of response times have focused on reactive response times, many of the decisions we make involve planning ahead and making anticipatory responses. We present an accumulator model of these anticipatory timing choices, where a decision maker must make a response at a specific time depending on when they expect an event to occur. This model is applied to simple perceptual decisions where participants must determine the trajectory of a stimulus and anticipate its future location. We manipulate the stimulus speed, its travel distance, and the length of time it is occluded, requiring the decision maker to mentally represent its position and motion. Generally, we find that participants anticipatory tend to be much more likely to respond too late than too early. This pattern of results can be accounted for by a Wald accumulator model where the drift, threshold, and non-decision time change with the stimulus manipulations.

A model of timing in simple anticipatory decisions

Anchoring – the tendency for recently seen numbers to affect estimates – is a robust bias affecting expert and novice judgements across many fields. An anchoring task, in which people (N=301) estimated the number of circles in 10 stimulus figures after comparison to an anchoring value, was conducted within a larger study including numerous intelligence, personality, decision style and attention measures. Individual anchoring susceptibility was calculated and compared to potential predictor variables. Two of eight broad ability measures (from Catell-Horn-Carroll intelligence theory) correlated weakly but significantly with anchoring (Gq = 0.16, Gf = 0.12). No decision style or attention measures correlated significantly with anchoring, nor did the Big 5 personality traits, directly. Indirectly, however, as the anchoring task continued and fatigue increased, people relied more on anchors and higher neuroticism may have increased this tendency. Overall, results suggest our ability to predict anchoring is poor and implications of this are discussed.

Does anything predict anchoring bias?

Studies in psycho-linguistics have provided compelling evidence that theoretical syntactic structures have cognitive correlates that inform and influence language perception. Generative grammar models also present a principled way to represent a plethora of hierarchical structures outside the domain of language. Hierarchical aspects of musical structure, in particular, are often described through grammar models. Whether such models carry perceptual relevance in music, however, requires further study. 
To address the descriptive adequacy of a grammar model in music, unfamiliar musical phrases consisting of chord progressions within the Jazz idiom were used, and zero to three chords were cut from the end of each phrase. A total of 150 participants were then presented with these stimuli and asked to provide a Closure Response, that is to predict how many more chords (0, 1, 2, or 3) were expected before the chord progression was complete. Simultaneously, a grammar model of hierarchical structure as well as a bigram model were trained over a corpus of 150 expert-annotated Jazz tunes. The models were then used to estimate probability distributions of Closure Responses in the stimuli presented to the participants. Bayesian mixed-effects models reveal that the models carry predictive value for the participants' response distributions and that the hierarchical model contains incremental predictive information over the bigram model. The present results suggest that -- akin to language -- hierarchical relationships between musical events have a cognitive correlate, which influences the perception and interpretation of music.

Hierarchical syntactic structure predicts listeners’ sequence completion in music

Toddlers can learn cause-effect relationships between single actions and outcomes. However, real-world causality is often more complex. We investigated whether toddlers (12- to 35-month-olds) can learn that a sequence of two actions is causally necessary, from observing the actions of an adult demonstrator. In Experiment 1, toddlers saw evidence that performing a two-action sequence (AB) on a puzzle-box was necessary to produce a sticker, and evidence that B alone was not sufficient. Toddlers were then given the opportunity to interact with the box and retrieve up to five stickers. Toddlers had difficulty reproducing the required two-action sequence, with the ability to do so improving with age. In Experiment 2, toddlers saw evidence that performing a single action (B) was sufficient to produce an effect (i.e., a sequence was not causally necessary). Toddlers were more successful and performed fewer sequences in Experiment 2, suggesting some sensitivity to the sequential causal structure.

Can 1- and 2-year-old toddlers learn causal action sequences?

How do people assign credit for others’ actions? The Correspondence Bias — a classic bias in social psychology — purports that people are predisposed to attribute behaviors to dispositional, rather than situational, factors. However, recent work suggests that the pattern of data cited as evidence of a bias may be a natural consequence of attribution under uncertainty. Here we devise a novel “Bucket-Toss” task in which we can independently and parametrically manipulate and measure situation and disposition pressures to evaluate whether attribution to dispositions and situations are consistent with probabilistic inference. We find that as the strength of the situation or disposition is varied, attributions to the other (unobserved) cause follow roughly symmetric patterns of graded attribution. Together, these results confirm that social attribution appears to be largely consistent with unbiased inference under uncertainty.

Blame the Player and the Game

PCIbex is a free web platform for designing and running a wide variety of behavioral experiments online. It provides a simple and accessible, yet versatile code interface for designing experimental tasks, and furthermore makes it possible to share experiment code and resources with a single click, allowing for easy replication. PCIbex comes with an easy-to-learn mini-language, which builds on a standard JavaScript engine. Advanced features include audio- and video-recording as well as an integration of the webgazer eye-tracking API. The workshop will provide a hands-on introduction to the basic functionalities, as well as illustrations of advanced features and time for Q&A. While already in fairly wide use in the linguistics community, the tutorial aims to make this resource more widely accessible within the cognitive science community at large.

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The Mystery of Early Taxonomic Development

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