The Role of Emotion in Problem Solving: First Results from Observing Chess

Thomas Guntz 1 James L. Crowley 1 Dominique Vaufreydaz 1 Raffaella Balzarini 1 Philippe Dessus 2, 1
1 PERVASIVE - Interaction située avec les objets et environnements intelligents
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, UGA - Université Grenoble Alpes
Abstract : In this paper we present results from recent experiments that suggest that chess players associate emotions to game situations and reactively use these associations to guide search for planning and problem solving. We describe the design of an instrument for capturing and interpreting multimodal signals of humans engaged in solving challenging problems. We review results from a pilot experiment with human experts engaged in solving challenging problems in Chess that revealed an unexpected observation of rapid changes in emotion as players attempt to solve challenging problems. We propose a cognitive model that describes the process by which subjects select chess chunks for use in interpretation of the game situation and describe initial results from a second experiment designed to test this model.
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Submitted on : Wednesday, October 3, 2018 - 10:26:20 AM
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  • ARXIV : 1810.11094

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Thomas Guntz, James L. Crowley, Dominique Vaufreydaz, Raffaella Balzarini, Philippe Dessus. The Role of Emotion in Problem Solving: First Results from Observing Chess. ICMI 2018 - Workshop at 20th ACM International Conference on Multimodal Interaction, Oct 2018, Boulder, Colorado, United States. pp.1-13. ⟨hal-01886694⟩

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