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Title

Assessment of Computer-Supported Collaborative Processes Using Interpersonal Physiological and Eye-Movement Coupling

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Published in Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on. Geneva (Switzerland) - 2-5 Sept. 2013 - IEEE. 2013, p. 116-122
Abstract In this paper we propose a method to assess key collaborative processes during computer-supported group work based on physiological signals and eye-movements. Synchronous interpersonal multimodal signals from 30 dyads were recorded while collaborating remotely. Features measuring how much collaborators' eye-movements and physiology are coupled were extracted from the obtained time series and two regression models were trained to assess collaboration. Results show that the two coupling measures can be used to predict collaborative processes such as grounding and convergence. Assessing those processes is a major step toward the development of remote collaborative interfaces able to adapt to the users' social interactions.
Keywords Computer-supported collaborationDual eye-trackingInterpersonal couplingPhysiological signalsRegression
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ISBN: 978-0-7695-5048-0
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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CHANEL, Guillaume et al. Assessment of Computer-Supported Collaborative Processes Using Interpersonal Physiological and Eye-Movement Coupling. In: Affective Computing and Intelligent Interaction (ACII), 2013 Humaine Association Conference on. Geneva (Switzerland). [s.l.] : IEEE, 2013. p. 116-122. https://archive-ouverte.unige.ch/unige:74293

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Deposited on : 2015-07-22

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