In our everyday life, we often need to anticipate the potential occurrence of events and their consequences. In this context, the way we represent contingencies can determine our ability to adapt to the environment. However, it is not clear how agents encode and organize available knowledge about the future to react to possible states of the world. In the present study, we investigated the process of contingency representation with three eye-tracking experiments. In Experiment 1, we introduced a novel relational-inference task in which participants had to learn and represent conditional rules regulating the occurrence of interdependent future events. A cluster analysis on early gaze data revealed the existence of 2 distinct types of encoders. A group of (sophisticated) participants built exhaustive contingency models that explicitly linked states with each of their potential consequences. Another group of (unsophisticated) participants simply learned binary conditional rules without exploring the underlying relational complexity. Analyses of individual cognitive measures revealed that cognitive reflection is associated with the emergence of either sophisticated or unsophisticated representation behavior. In Experiment 2, we observed that unsophisticated participants switched toward the sophisticated strategy after having received information about its existence, suggesting that representation behavior was modulated by strategy generation mechanisms. In Experiment 3, we showed that the heterogeneity in representation strategy emerges also in conditional reasoning with verbal sequences, indicating the existence of a general disposition in building either sophisticated or unsophisticated models of contingencies. (PsycINFO Database Record (c) 2020 APA, all rights reserved).
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Front Psychol
December 2024
Departent of Learning, Data-Analytics and Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.
Learning experiences are intertwined with emotions, which in turn have a significant effect on learning outcomes. Therefore, digital learning environments can benefit from taking the emotional state of the learner into account. To do so, the first step is real-time emotion detection which is made possible by sensors that can continuously collect physiological and eye-tracking data.
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December 2024
Artist in Residence, Centre for Health, Arts, Society and the Environment (CHASE), University of Liverpool, Liverpool, UK.
In this article we consider the theoretical and methodological implications of Deleuzian fabulation for research on recovery from drugs and alcohol as an alternative way of making and doing methods in sociology. The article draws on data produced as part of an ongoing interdisciplinary research collaboration, begun in 2019, with the visual artist and filmmaker Melanie Manchot, social scientists Nicole Vitellone and Lena Theodoropoulou, and people in recovery from drugs and alcohol engaged in the production of Manchot's first feature film STEPHEN. This project attends to the methodological practice of filmmaking as a way of thinking with and alongside colleagues from divergent disciplines about the role of methods, concepts and practices for confronting and resisting processes of stigmatisation.
View Article and Find Full Text PDFWater Res
December 2024
Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA27AY, UK; SWING - Department of Built Environment, Oslo Metropolitan Uni., St Olavs Plass, Oslo 0130, Norway. Electronic address:
Urban water systems receive and emit antimicrobial chemicals, resistant bacterial strains, and resistance genes (ARGs), thus representing "antimicrobial hotspots". Currently, regional environmental risk assessment (ERA) is carried out using drug consumption data and threshold concentrations derived based on chemical-specific minimum inhibitory concentration values. A legislative proposal by the European Commission released in 2022 addresses the need to include selected ARGs besides the chemical concentration-based ERAs.
View Article and Find Full Text PDFArtif Intell Med
December 2024
Department of Computer Science, University of Copenhagen, Copenhagen, Denmark. Electronic address:
Medical imaging, particularly radiography, is an indispensable part of diagnosing many chest diseases. Final diagnoses are made by radiologists based on images, but the decision-making process is always associated with a risk of incorrect interpretation. Incorrectly interpreted data can lead to delays in treatment, a prescription of inappropriate therapy, or even a completely missed diagnosis.
View Article and Find Full Text PDFStat Biosci
December 2024
Department of Biostatistics, University of California, Los Angeles, Los Angeles, CA, USA.
Individuals with autism spectrum disorder (ASD) tend to experience greater difficulties with social communication and sensory information processing. Of particular interest in ASD biomarker research is the study of visual attention, effectively quantified in eye tracking (ET) experiments. Eye tracking offers a powerful, safe, and feasible platform for gaining insights into attentional processes by measuring moment-by-moment gaze patterns in response to stimuli.
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