Canada

Listeners interpret spoken language differently, depending on the perceived identity of the speaker. Within increasingly diverse societies, it is important to understand how speaker characteristics such as accent may impact simple linguistic exchanges. In the current study, children are being tested on their ability to recall factual information provided by native and non-native accented English speakers. Preliminary results demonstrate that children tend to remember neutral facts better if they heard them from a native accented speaker. Interestingly, children understood the native and non-native accented talkers equally well, indicating that comprehension difficulties could not account for the results. To date, there have been no studies examining how a speaker’s accent affects children’s memory, and only preliminary, mixed results in adults have been found. This gap in the literature underscores the need to understand how linguistic biases might impact information transfer across diverse language communities.

CogSci 2022

Where&#39;s the Bingleduff? How speaker accent shapes children&#39;s linguistic processing

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**Dear Colleagues,**

Welcome to the 43rd Annual Conference of the Cognitive Science Society! 

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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.

Where's the Bingleduff? How speaker accent shapes children's linguistic processing

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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.
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<br>[**The Detailed Program can be found here**](https://cognitivesciencesociety.org/wp-content/uploads/2022/08/DeArmond-CogSci2022-program-v113-final.pdf)
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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. 





We study pension planning and financial wealth of natives and immigrants (N=1177) in the Netherlands, in relation to their temporal values (past/future-focused), financial knowledge, IQ, and other individual characteristics. We find that, compared to natives, immigrants are less financially literate and rely more on the government for their retirement income, but are more future-focused and think more about their retirement. Second, controlling for financial knowledge, IQ, saving intention, self-control and demographic factors, temporal values help to predict many aspects of pension planning: how much people think about retirement, their desired retirement age, whether they develop a plan to save for retirement, perceived saving adequacy, and home ownership. Furthermore, temporal values predict savings, risky assets and financial wealth in 2016 and 2020, even after controlling for the financial situation in 2016. Our results have strong implications for policies related to pension communication and contribute to the theory on relationships between economic decisions, time and cognition.

Beyond financial knowledge and IQ: The effect of temporal values on pension planning and financial wealth of natives and immigrants in the Netherlands

The representation of time depends heavily on spatial skills.
Saj et al. (2014) demonstrated that left-hemispatial neglect
patients, who lost the ability to detect objects in their left visual
field, have a selective deficit in remembering items
corresponding to the past, i.e., the left side of their mental
timeline. The current study used the same memory task but
tested neurotypical individuals (N = 76) to examine whether
individual differences in spatial ability as well as learning order
(chronological vs. random) predict how well participants
remember items and associations between the item and time
(past or future). Our results indicate that higher spatial ability
and chronological learning both lead to better memory. This
study is among the first to demonstrate how individual
differences may impact time representation and memory that
relies on a mental timeline.

Locating past and future: The Influence of Spatial Ability on Time Representation

We study the effect of people’s temporal values (habits of attending to past or future events) on their health, labour market performance and happiness. Participants’(N=1177) data were initially collected in 2016 and followed in 2020-2021. We find that habitually more attending to the future negatively correlates to diseases (heart attack; high cholesterol; diabetes; high-blood pressure), but positively associates with health-related behaviour (eating vegetables and fruit; less smoking), health status (e.g., healthy weight; long life expectancy), income, hourly wages, financial satisfaction and happiness. Furthermore, such temporal values predict participants’ future situation of these aspects in 2020-2021, even after controlling for the 2016 baseline situation, IQ, self-control, patience, risk aversion and demographic information. We propose a temporal values and well-being hypothesis, suggesting that individuals’ temporal values can predict their concurrent and longitudinal all-around well-being. Our findings have strong implications for theories of time perception, and for a better understanding of factors that influence people’s health, income, and happiness.

Time to get attention: The effect of temporal values on health, income and happiness

Agreement attraction (i.e. facilitatory interference manifested by sped-up reading times) observed in establishing subject-verb number agreement by comprehenders when reading ungrammatical sentences with number-matching attractor nouns, has been long-established and cross-linguistically validated. For languages with rich inflectional morphology, case syncretism has been suggested to play a role in the phenomenon. In the present self-paced reading study on Czech, we show that unlike in other languages, facilitatory interference is not observed and that not even case syncretism is sufficient for its appearance. We put forward several possible explanations for this anomaly exhibited by Czech compared to other languages. We propose that the lack of semantic agreement in the language could be one of these. Finally, we discuss the implications of these results for the models of long-distance dependency resolution in comprehension.

No agreement attraction facilitation observed in Czech: Not even syncretism helps

Research has shown that comprehenders represent alternative meanings to single focused words online, consistent with Rooth’s (1992) formal semantic account. However, focus can also take a broader scope over whole phrases ('read the manuscript'). We examined whether in these cases, alternatives are represented by testing for an interference effect of the particle only. Using probe recognition, we first tested unmentioned alternatives to the constituent parts of VPs, to object nouns (Exp 1, 'letter' for 'manuscript') and verbs (Exp 2, 'wrote' for 'read'). In Exp 3, we tested alternatives to whole phrases ('wrote the letter'). In all experiments, alternative probes were processed slower than unrelated ones. We found varying evidence of the interference effects of only with noun, verb and whole-phrase alternatives. Overall, this study does not provide support for the generalisation of the effects of only to broad focus. Additionally, we discuss the methodological implications of probing whole phrases.


The Comprehension of Broad Focus: Probing Roothian Alternatives

Syntactic harmony occurs when heads and dependents align within and across different types of phrases in a language. Harmony is a well-known (statistical) typological universal: in most languages, many if not all heads and dependents are consistently ordered (i.e., either head-dependent, or dependent-head). Despite decades of work, from every conceivable theoretical perspective, the origins of syntactic harmony remain opaque. However, recent work using artificial language learning has suggested that harmonic patterns are easier to learn than their non-harmonic counter-parts. Thus at least part of the explanation for this tendency may be linked to learning. Here, we explore whether the mechanism behind the learning bias for syntactic harmony is fundamentally domain-general by instantiating harmony in non-linguistic stimuli. Our findings support the claim that the origins of syntactic harmony lie in a domain-general bias for simplicity acting on linearized, language-specific categories.


Syntactic harmony arises from a domain-general learning bias

While an apparent tendency for negative markers to appear before the verb has been observed in typology, language acquisition, and language emergence, it remains uncertain what factors may motivate such a preference. The present study uses an artificial language learning paradigm to test the existence of learning asymmetries consistent with Neg-First preferences in English speakers. The study further incorporates a dyadic interaction task to investigate proposals that the Neg-First tendency is driven by communicative factors. Results show that learners overall produced more preverbal negation than was found in the input language, consistent with a Neg-First bias. However, interaction only induced greater preverbal negation use when preverbal negation was the majority word order in the input language. This does not support the proposal that communication generally promotes a Neg-First bias, but is suggestive of greater regularization when a production bias is aligned with a bias to eliminate variability during communication.

Investigating the Presence of NegFirst Biases in Learning and Communication

One of the key features of natural languages is that they exhibit long-distance filler-gap dependencies (FGDs): In the sentence `What do you think the pilot sent __?' the wh-filler what is interpreted as the object of the verb sent across multiple words. The ability to establish FGDs is thought to require hierarchical syntactic structure. However, recent research suggests that recurrent neural networks (RNNs) without specific hierarchical bias can learn complex generalizations about wh-questions in English from raw text data (Wilcox et al. 2018; 2019). Across two experiments, we probe the generality of this result by testing whether a long short-term memory (LSTM) RNN model can learn basic generalizations about FGDs in Norwegian. Testing Norwegian allows us to assess whether previous results were due to distributional statistics of the English input or whether models can extract similar generalizations in languages with different syntactic distributions. We also test the model's performance on two different FGDs: wh-questions and relative clauses, allowing us to determine if the model learns abstract generalizations about FGDs that extend beyond a single construction type. Results from Experiment 1 suggest that the model expects fillers to be paired with gaps and that this expectation generalizes across different syntactic positions. Results from Experiment 2 suggest that the model's expectations are largely unaffected by the increased linear distance between the filler and the gap. Our findings provide support for the conclusion that LSTM RNN's ability to learn basic generalizations about FGDs is robust across dependency type and language.

LSTMs Can Learn Basic Wh- and Relative Clause Dependencies in Norwegian

Fast and efficient correction of speech errors is essential to effective communication. Yet, despite several accounts of error detection, no computational account exists to explain how humans repair their speech errors. This paper proposes the first such model. We demonstrate that a simple automatic mechanism can form the basis of most repairs. We then demonstrate that augmenting the model with a conflict-based monitoring-control loop allows it to capture more nuanced findings in human speech error repair data.

A conflict-based model of speech error repairs in humans

We explore pupil diameter (PD) as estimator of Sense of Embodiment (SoE) using data of three user studies. We hypothesize that pupil diameter reflects SoE in a direct and indirect way. If individuals feel strongly embodied, presenting an emotional stimulus like a threat to the surrogate will produce a strong response, as if the stimulus would be presented to their own body. This would lead to a positive correlation between SoE and pupil dilation during the presentation of emotional stimuli. Besides this direct effect, there may also be an indirect effect. It is postulated that higher degrees of embodiment reduce workload when controlling a surrogate. This indirect effect of embodiment through lower workload on the PD would result in a negative correlation between SoE and PD since lower workload results in smaller PD. These direct and indirect effects were partially confirmed by the results of three experiments. We observed that PD and SoE are positive and direct correlated in case of emotional stimuli subjected to the surrogate (e.g. a threat), and that PD tended to be smaller for participants who experienced a condition designed to provide high SoE compared to one designed to provide low SoE.

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Beyond financial knowledge and IQ: The effect of temporal values on pension planning and financial wealth of natives and immigrants in the Netherlands

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