Canada

Body perception can be influenced by internal (body satisfaction) and external pressures (social comparison). In this study, 120 young women (18-to-30-year-olds) performed two tasks: they estimated the weight of 15 female body images and they compared their weight to that of the images presented in random order. For each estimation, they provided confidence judgments using a Likert scale. Afterward, they completed the Sociocultural Attitudes Questionnaire Towards Appearance (SATAQ-4R) and the Body Shape Questionnaire (BSQ-21) to evaluate the perceived social pressure on the body image. Estimation accuracy in the first task was predicted by confidence judgments. Estimation accuracy in the weight comparison tasks was predicted by Body Measuring Index (BMI), weight concern, body dissatisfaction, and peer pressure. Results show that when comparing our weight to others, our own weight, how we feel about our body, and the perceived pressure to change it determines how accurately we compare it to other people’s bodies.

CogSci 2022

How heavy do you think you are? Self-weight estimation is modulated by body dissatisfaction and weight concerns.

### 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,**
![](https://assets.underline.io/uploads/markdown_image/1/image/99984908caba5e6453e5fc5ba34f3507.jpg)

**Learn more about the Vienna Cognitive Science Hub at the University of Vienna, hosts of CogSci 2021**

<iframe width="560" height="315" src="https://www.youtube.com/embed/464h1m3iU68" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

To review the proceedings for the conference or review the searchable program, please visit the [website](https://cognitivesciencesociety.org/program/).


CogSci 2021

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

Join us for CogSci2022! Our 44th Annual Conference will be centered around the theme of diversity, with an accompanying range of keynotes and invited speakers who themselves highlight the diversity of our field. Our three symposia are Cognition across Diverse Populations, Cognition within Diverse Societies, and Global Challenges for Cognitive Science. The conference is being offered in a fully hybrid environment for onsite and online attendees.
<br>
<br>[**The Program at a Glance can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2022/07/Cogsci-2022-PAAG-Detailed-July-12final-1.pdf)
<br>[**The Detailed Program can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2022/08/DeArmond-CogSci2022-program-v113-final.pdf)
<br>
<br>

This conference requires a registration to attend. Please use the link below to secure your ticket. The website will be available to all registered attendees on July 25th. 

[Register to Attend](https://cognitivesciencesociety.org/registration/)

Registration Is Required

The 44th Annual Meeting of the Cognitive Science Society highlighted research on the theme Cognitive Diversity in addition to the full breadth and diversity of research topics offered by the society’s membership. 





Human communication usually exhibits two fundamental and essential characteristics under environmental pressure, efficiency, i.e., using less communication frequency to achieve comparable performances in cooperation; and robustness, i.e., maintaining a relative performance when communicating in a complicated environment. Since a critical goal of designing artificial agents is making them human-like in many scenarios. How artificial agents could learn a human-like communication mechanisms in terms of efficiency and robustness is a long-existing problem which has not yet been solved. Reinforcement Learning, due to its trail-and-error paradigm, provides a promising framework in solving the above research problem. With reinforcement learning, this paper develops architectures that help agents learn an efficient and robust communication, and carries out extensive experiments which uncover that artificial agents are cognitively capable to learn such human-like communication protocol in various environments (tasks).

Achieving Consensus to Learn an Efficient and Robust Communication via Reinforcement Learning

Research suggests individual differences in motor skills may be associated with reading ability in school-age children. This meta-analysis explored whether deficits in motor skills are evident in developmental dyslexia, using estimates from 33 studies (k) with 122 effects (m) from dyslexic and age-matched neurotypical samples (N dyslexia = 1248, M age = 11.6 years, range 7.0 to 25.3 years). An overall effect of moderate magnitude, g = –.52 [95% CI –.74; –.29], confirmed that motor skills are impaired in dyslexia. Meta-regression analyses indicated no significant effects of participant age or language. Subgroup analyses revealed significant group differences for tasks with nonlinguistic stimuli (k = 28, m = 83), e.g., pegboard task, g = –.46 [–.71; –.22], or linguistic stimuli (k = 10, m = 39), e.g., word copying task, g = –.66 [–1.09; –.24]. Effects were significant for groups with confirmed dyslexia diagnoses (k = 27, m = 103), g = –.56 [–.81; –.30], but not for groups identified as poor readers, (k = 6, m = 19), g = –.32 [–.93; .28]. Effects were significant for fine motor skills (k = 29, m = 106), g = –.61 [95% CI –.83; –.39], but not for gross motor or composite measures (k = 10, m = 16), g = –.26 [95% CI –.76; .24]. The results suggest that fine motor tasks might help to identify children at risk of dyslexia. Longitudinal research may further elucidate relations between motor and reading skills.

Dyslexia and Motor Skills: A Meta-Analysis

As virtual reality devices get more widespread, investigating how humans explore omnidirectional panoramic scenes has become a topic of interest. Several computational models now exist for predicting visual saliency in such environments. However, the existing literature largely ignores auditory cues while estimating saliency maps. To pave the road for more capable models, here, we ask how scene attributes and sound categories influence visual exploration. Considering a dataset of omnidirectional videos of dynamic scenes and eye fixations collected with and without sound, we analyzed how different semantic factors affect eye movement behavior; whether there are significant differences across human, animal, or music sounds present in the videos, or for indoor or outdoor scenes. Analyses revealed that the regulatory effects of audio in human fixations significantly increase in indoor scenes or if the audio is of music but decrease in outdoor scenes or if the audio is of animal or human sounds.

How scene attributes and sound influence visual exploration of omnidirectional panoramic scenes

Object location and identity interact with each other asymmetrically in adults: Participants tend to judge two sequentially presented objects as more similar when they appear in the same location compared to in different locations (a phenomenon referred to as Spatial Congruency Bias). Yet no comparable identity congruency bias is found, suggesting that location is special in object-binding. To investigate whether such a special role of location is inherent in our visual system or acquired during development, we conducted experiments in both 5-year-old children and adults performing location-judgment and identity-judgment tasks. The study replicated asymmetric bias in adults by finding that location biased their identity judgments, but not vice versa. However, symmetric bias was found in children, suggesting fused processing and reciprocal influence between location and identity in early childhood. The results indicate that location maintains its influence across development, whereas object identity’s influence on location gets pruned away during development.

Differential patterns of object-location binding in children and adults: Pruning the special role of location

Here, we test whether the perception of liquids is based on abstract, physics-based representations. To do so, we use a novel behavioral task that requires generalization across scene configurations. We created 30 animations of liquids flowing through and interacting with surfaces and objects. These animations came from six qualitatively different scene configurations and five viscosity levels. During the experiment, participants viewed two liquid animations (side-by-side), each from a different scene configuration, and they rated the similarity of underlying viscosities. We found that not only average similarity ratings are linearly predicted based on true viscosity differences, but also the identity of the scene configuration pairs was uncorrelated to similarity ratings. This successful generalization in human behavior suggests an underlying abstract, physics-based representation of liquids. We also present a new probabilistic model of liquid perception that accounts for behavioral ratings, quantitatively supporting our hypothesis.

Perception of liquids relies on generalizable, physics-based representations

Multisensory processing often has facilitation and/or interference effects (Chen & Spence, 2010; Thomas et al., 2017) yet the mechanisms remain unclear. This experiment used a Stroop-like task (Stroop, 1935) to examine how congruent, incongruent, and irrelevant information presented in one sensory modality affects processing and responding in a different modality (see Figure 1 for trial types). Participants were simultaneously presented with pictures and sounds of animals or vehicles. In separate blocks they had to respond to either the visual or auditory stimulus, while ignoring the other modality. Results suggest that visual stimuli have a larger effect on auditory responding than vice versa. Incongruent visual stimuli had a larger effect on accuracy while congruent visual stimuli had a larger impact on response time. We will present additional data at the poster focusing on factors that may affect congruency effects including individual differences and types of auditory stimuli.

Semantic Congruence Across Sensory Modalities

In this paper, we have studied the impact of clickbait headlines on the distribution of visual attention on hyperlinked news articles. Visual attention is a driving factor in ad-based revenue models that support online journalism. Importantly, it is also an indicator of cognitive processes involved in reading and comprehension. We hypothesize that articles with clickbait headlines receive lesser visual attention when controlled for articles’ content. This is based on the premise that a significant proportion of clicks on clickbait headlines are driven by readers’ specific epistemic curiosity rather than knowledge acquisition. An eye-tracker setup was used to infer visual attention from the gaze-fixation analysis conducted on data from 60 participants. Our results suggest that clickbait headlines significantly reduce the visual attention on news articles. Though, article content comprehension measured by a recall test was comparable for clickbait and non-clickbait headlines. Our findings add to the discussions on the cognitive attention and the implications of using clickbait headlines for news publishers, newsreaders, and advertising agencies alike.

Clickbait’s Impact on Visual Attention – An Eye Tracker Study

Having an intention (or not) forms a categorisation system for learning. Correspondingly, incidental learning stands for learning without intention to learn. The current paper examines the influences of incidental and intentional learning. 170 adults participated in three experimental studies. In each experiment, participants examined some animal illustrations and read paragraphs about them. In the first study, animal illustrations were arranged as being common (i.e., low curiosity) or novel to examine the effect of curiosity. Low curiosity level was more effective on incidental learning and vice versa for intentional learning. In the second study, mental time travel manipulation showed focusing on current time increased intentional learning. In the third study, the effect of arousal was examined via the tempo of the music (i.e., faster tempo for high arousal level). Low arousal level increased incidental learning. Ultimately, curiosity, mental time travel, and arousal could be essential in intentional and incidental learning.

Predictors of Incidental and Intentional Learning: Curiosity, Construal Level, and Musical Arousal

Parallel accounts of interference resulting from the generation of related words can be found in the retrieval-induced forgetting (RIF) and the cumulative semantic interference literatures. Recent work on the language production side suggests that the same adaptive learning process may underlie both. However, the literatures remain separate. They use different procedures and dependent measures, and theoretical accounts focus on underlying conceptual representations (memory research) vs. conceptual-lexical links (language research). We propose that the accounts should be reconciled. As an initial step toward this goal we combined a retrieval/generation procedure with a continuous picture-naming test phase to assess their combined effects on interference. We observed both costs and benefits in error data. There were more naming errors (including many time-outs) for non-generated items from activated categories and fewer for previously generated items. Perhaps due to a too-severe cutoff, naming times did not show a RIF influence, only a marginal facilitation effect for generated items. However, naming time showed typical cumulative interference within the picture-naming phase independent of previous retrieval experience. Future work will investigate the locus of interference in conceptual memory representations versus in links to word representations with the goal of producing a unified account of semantic interference.

Aligning Language and Memory Accounts of Semantic Interference

The current information ecosystem has made it difficult to judge the veracity of information. Presumably, evaluating an informational source’s expertise aids in this judgment process. However, whether these judgements influence memory for that information is unclear. In this study, we investigate the extent to which a source's expertise influences recognition memory for explanations given by that source. Participants viewed 20 vignettes describing events and two potential explanations for each event. Each explanation was either said by a source (domain expert vs. non-expert) or given without a source. Participants were exposed to both source and no-source conditions. We investigated whether participants’ recognition of explanations were predicted by condition and source expertise. Our findings indicated that neither condition nor source expertise influenced participants' performance on the recognition task. This suggests that people either do not attend to source in their evaluations of explanations or do not encode these evaluations.

Premium content

Downloads

Next from CogSci 2022

Achieving Consensus to Learn an Efficient and Robust Communication via Reinforcement Learning

Similar lecture

Body Image During Quarantine; Generational Effects of Social Media Pressure on Body Appearance Perception