United States

Literature indicates that lingua franca use in clinical settings impacts bilinguals communicating in their second language (L2)—but what drives these changes? This study examined how language, proficiency, and cognitive load influence emotionality during traumatic autobiographical memory (AM) retrieval. Building on evidence that L2 use diminishes emotional resonance, we hypothesized that proficiency would moderate this effect. Additionally, we expected lower emotionality in first-language (L1) recall under cognitively demanding conditions, mirroring second-language effects. Greek native speakers (N=107) recalled a traumatic AM in L1, L2 (English), or L1 under cognitive load (visuospatial working memory task) while undergoing physiological EDA assessment. Self-reported arousal, distress, and traumatic symptoms were measured. Notably, L2 alone did not lower emotional intensity—only lower L2 proficiency did, highlighting its key moderating role. Cognitive load during L1 retrieval significantly decreased emotionality, supporting resource-dependent emotional processing models. These findings reveal proficiency and cognitive demands’ interplay in shaping bilingual emotional processing.

CogSci 2025

Same memory, different words: The Role of Language, Proficiency and Cognitive Load in Traumatic Autobiographical Memory Recall

behavioral science

computer-based experiment

language and thought

memory

emotion

## Welcome to EMNLP 2024! 
We are excited to welcome you to one of the most prominent conferences in the field of Natural Language Processing. This year, EMNLP 2024 is being held in a hybrid format,
offering both virtual and in-person participation in beautiful Miami. Due to a record-breaking number of submissions, we've expanded the total number of accepted papers to accommodate more cutting-edge research from around the globe.
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EMNLP 2024

EMNLP 2024 will take place in Miami, Florida from Nov 12th to Nov 16th, 2024, at the Hyatt Regency Miami Hote and on Underline for remote participants.

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### Welcome to CogSci Conference 2025!

The 47th Annual Meeting of the Cognitive Science Society was a hybrid meeting held in San Francisco. 

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#### About

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.

#### Our History 

* **Society Creation**<br>
The Society was incorporated as a 501(c)(3) non-profit professional organization in Massachusetts in 1979. The organizing committee included Roger Schank, Allan Collins, Donald Norman, and a number of other scholars from psychology, linguistics, computer science, and philosophy. 
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* **Conference Creation**<br>
The first conference on cognitive science was held at La Jolla, California in August, 1979, and has occurred annually since then. The proceedings of each conference are published, and those from most years are available through Lawrence Erlbaum Associates, Inc. The annual proceedings of the Cognitive Science Conference represent a major source of information on new work and new ideas in the scientific study of thinking. In 1990, the Society, with help from an anonymous donor, established the David Marr Prize for the best student paper at each annual meeting.
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* **Journal Creation**<br>
The Journal, Cognitive Science, began publication in 1976, and is now published by Wiley-Blackwell. The Executive Editor is currently Richard P. Cooper of Birkbeck, University of London, and there are 18 Associate Editors and a 30-member editorial board. It serves as the premier outlet for research reports that intersect two or more disciplines. Copyrights for articles published in the journal are held by the Society. The Governing Board of the Cognitive Science Society voted in late 2006 to found a new journal, Topics in Cognitive Science (topiCS). The Editor in Chief is Wayne Gray, Cognitive Science Department, Rensselaer Polytechnic Institute. The journal seeks to fill a niche not occupied by Cognitive Science Journal or other cognitive science journals. Membership in the Society includes a subscription to Cognitive Science and TopiCS. Copyrights for articles published in the journal are held by the Society.
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#### Code of Conduct

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The 47th Annual Meeting of the Cognitive Science Society presents the latest research across cognitive science and highlights the theme of Cognition in Context.

Stimulating language learners’ engagement is essential to successful second language acquisition, but it can be hard to translate this intuition into effective learning resources. In the first large scale investigation into the linguistic and pragmatic features that make an educational conversation interesting, we collected interest ratings for 64 conversations between teachers and second language learners of English. We provide proof of concept that - despite the high degree of subjectivity involved in perceptions of interest - it is possible to extract features that make a conversation interesting for the average learner. Specifically, concreteness, comprehensibility, and uptake (i.e., the degree to which a teacher and a student’s turn build on one another) all had unique relations to interest in our data. These findings lay the foundations for future work on the optimization of AI tutors for more engaging language learning interactions.

What makes a conversation interesting? Linguistic features predictive of interest in educational conversations between teachers and learners of English

The current study examines 120 5 to 10-year-old children’s beliefs about adults’ abilities to use and fix tablet technology when those adults belong to varying gender (man, woman) and age (young, old) categories. The results indicate that, overall, children appear to prioritize age over gender when judging adults’ technological knowledge, with children choosing younger adults as more competent at using and fixing tablets than older adults. In addition, when evaluating adults of the same age category (e.g., a young man and a young woman), children show in-group gender-based preferences where girls choose women and boys choose men. This in-group preference is more pronounced in children’s selections of adults when determining who would be better at fixing tablets than who would be better at using these devices. Implications for children’s developing ability to consider intersectional identities based on gender and age, and for their STEM learning, are discussed.

Children Prioritize Age over Gender when Evaluating Adults’ Technological Knowledge

The low prevalence effect (LPE), a decrease in target detection performance as target prevalence decreases, is a concern in real-world visual search tasks, such as baggage screening. Unfortunately, much of the research into the LPE and its potential countermeasures may not represent the challenges of other real-world search tasks, such as sonar and security monitoring, in which objects in the search environment exhibit movement. Additionally, target (e.g., submarine) and non-target (e.g., merchant ship) movement may interact with target prevalence to further decrease target detection performance, but these factors have not been systematically manipulated to determine their effects. In Experiment 1, high and low prevalence targets occurred in search conditions with static or randomly-moving objects. Although there was no significant interaction effect detected between target prevalence and motion, these conditions independently contributed to significantly lower hit rates. In Experiment 2, a higher prevalence target was included as an attempted LPE countermeasure. Observers searched for a relatively high and a low prevalence target in the moving search task. The addition of a higher prevalence target improved target detection overall in a search environment with moving objects, serving as a possible countermeasure to the LPE.

The Low Prevalence Effect with Random Motion Stimuli in a Visual Search Task

Visual working memory (VWM) plays a fundamental role in cognitive processes, such as perception, attention, and reasoning. However, existing approaches to modelling VWM are not integrated into cognitive architectures and lack interpretability with respect to their parameters. To address this limitation, we propose a novel VWM model based on the well-established Semantic Pointer Architecture (SPA). In contrast to previous works, our model is the first to integrate a VWM model with a cognitive attention model. It only requires three interpretable hyper-parameters: spatial capacity, feature certainty, and memory decay. We experimentally show that our base model without memory decay replicates the set-size effect and swap errors of human data on a continuous reproduction task. More importantly, we show that by introducing a memory decay, we can achieve a statistically significant (p ≪ 0.001) improvement in model fit, suggesting a potentially important role of memory decay in VWM. Further, our VWM model can be easily extended to model pre- and post-cue conditions, consistently achieving KL divergence between modelled and human performance of less than 0.05.

A Cognitively Plausible Visual Working Memory Model

This is a first exploration into a newly identified reasoning error. We explore normative (derived from Bayes’ rule) and naïve (empirical data) evaluations of how order of reliability within chains of evidence (e.g., hearsay testimony) impacts overall evidential value. In a novel paradigm, we swap the position of two witnesses within the chain to determine the effect of order, when these witnesses differ in their reliability. First, a probabilistic (Bayesian) assessment is provided, including both quantitative and qualitative explanations. Second, lay reasoner qualitative intuitions are measured, using Bayesian predictions as a benchmark for accuracy. Lay reasoners significantly deviate from Bayesian predictions. Three quarters (75.41%) made an error when evaluating order effects in hearsay testimony, with 49.18% wrongly concluding that order has no impact. Only 24.59% correctly judged that the preferential order had greatest evidential value. We illustrate how hearsay testimony is inherently complex and an optimal evaluation is nonintuitive.

Order Effects in Evidence Chains: Normative and Naïve Evaluations

Virtual reality (VR) simulations purport to provide a uniquely
immersive means of understanding experiences different from
our own, potentially serving as “empathy machines”. The
utility of such simulations, however, is controversial. We
examined people’s preferences for learning about others’
experiences of visual impairment and sexual harassment,
through VR versus firsthand testimony. We find that people
have a general preference for VR over testimony, expecting VR
to be able to provide a high understanding of others’
experiences. The preference for VR over testimony was more
pronounced for learning about visual impairment than sexual
harassment, and prior experience with sexual harassment
reduced the perceived value of VR relative to testimony. These
findings raise concerns about epistemic justice, as reliance on
VR may undermine deference to firsthand accounts.

Folk epistemological attitudes toward using virtual reality (VR) to learn about others

For more than two decades, researchers have been trying to
explain the source of the processing cost of scalar implicature
(SI). Although the computation of some SIs is associated
with longer processing time (known as the delay effect),
other SIs are processed cost-free. In this study, we investigated
how individual differences in the rate of SI derivation
modulate the delay effect across different scales. We reanalyzed
four datasets from two SI verification task studies,
which examined various scales. In these experiments, participants
judged SI-triggering sentences as either true (literal
reading) or false (SI reading). We fit a computational model to
quantify the by-subject probability of computing SIs. Across
datasets, we found that subjects who prefer the literal reading
of the SI-triggering sentence were faster to respond true than
false. However, the reading preferences modulate the verification
speed differently for different scales. This suggests that
the source of the delay effect might vary between scales.

Individual differences in the delay effect across scales

Misleading visualizations are increasingly prevalent, with a surge in their negative impact on data interpretation, often leading to misunderstandings and poor decision-making. To address this issue, we investigate the impact of informative feedback within perceptual training targeting misleading visualizations. Our results show that informative feedback significantly enhances viewers’ perceptual skills, improving both accuracy and efficiency in interpreting misleading data visualizations. Additionally, participants demonstrated a transfer effect, applying their developed perceptual skills to novel misleading visualizations beyond those encountered during training. These findings highlight the potential of perceptual training with informative feedback to strengthen viewers’ resistance to misleading data visualizations, offering valuable insights for educational practices aimed at fostering viewers’ resistance to misleading data visualizations.

Perceptually Training Viewers against Misleading Data Visualizations with Informative feedback

The aim of this study is to analyse the auditory scene of musical works and to demonstrate that different compositions may prompt the emergence of distinctly interpreted perceptual streams in the listener’s mind. The research focuses on selected excerpts from works by Alexandre Guilmant, Ludwig van Beethoven, and Antonio Vivaldi, which, due to their unique characteristics, elicit diverse auditory impressions. By combining score analysis with auditory scene analysis, this paper seeks to explain how different interpretations of the same sounds result in dissimilar auditory impressions. The auditory scene analysis presented here provides deeper insight into the process of stream formation and its implications for musical performance and aesthetic perception. The findings indicate that perceptual stream formation in music is considerably more complex and context-dependent than previously assumed, with implications for how listeners interpret auditory scenes.

Variable Properties of Auditory Image Analysis: A Case Study of Selected Musical Works

Recent research has suggested that some children, after they learn the meaning of “four,” proceed to learn the next few numbers one at a time (Krajcsi & Fintor, 2023). This claim is in direct contrast with previous theories that argued for an inductive leap after learning “four” (Carey, 2009). We assessed children’s number knowledge using an adapted Give-N method that captured higher set sizes, and tests of executive function and working memory as an exploratory window onto the changes across stages. First, results support the claim that children exhibit partial-number knowledge beyond “four”. Second, executive function was associated with children’s jump from knowing numbers up to “four” (subset-knower stages) to knowing numbers above four, while working memory was associated with the change from partial to putatively full knowledge of number word meanings.  These findings offer new insight into the conceptual change process and suggest a potential two-fold sequence in children’s induction of cardinality.

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Next from CogSci 2025

What makes a conversation interesting? Linguistic features predictive of interest in educational conversations between teachers and learners of English

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