EATMINT

Current members

 

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Mireille Betrancourt

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Thierry Pun

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Gaelle Molinari

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Guillaume Chanel

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Sunny Avry

Former members

Christelle Bozelle Donato Cereghetti
Konstantina Kalogianni  

 

 

Project description

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Main outcomes and results

Emotion Awareness Tool

A first emotion awareness tool was developped to test the effect of emotion awareness in mediated colloboration. This tool was developped in Java and is integrated in the Drew platform.

The development of an automatic emotion awareness tool assessing the emotions of collaborators during their collaboration based on their physiological and behavioral signals is currently under development.

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Effect of emotion awareness tools on mediated collaboration

By employing the emotion awareness tool described above an experiment was conducted to find its impact on the collaboration. In the experiment dyads were collaborating either with or without the emotion awareness tool. More details on the experimental protocol can be found in our publications.

The results indicate that:

- the emotion awarenes tool favored the exchange of emotions among participants and facilitated the mutual modeling of emotions;

- the emotion awareness tool was able to favor the exchange of ideas (i.e. transactivity) for women while a reverse effect was observed for men.

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Assessment of Collaborative processes

From the data collected during the experiment, we proposed an approach to assess several dimensions of collaborative processes based on the analysis of interpersonal physiological and eye-movement coupling. These dimensions were obtained from a factor analysis on the participant questionnaires about collaboration. Physiological coupling was computed by measuring the correlation and coherence between the physiological activities of the two members of dyads while cross-recurrence analysis was employed to compute eye-movement coupling.

Two targets were particularly well predicted: emotion management and convergence. Those processes are of high importance for successful collaboration, and therefore being able to assess them automatically is a critical step toward the development of interfaces that dynamically adapt to the process of collaboration

Main publications

G. Chanel, G. Molinari, D. Cereghetti, T. Pun and M. Betrancourt, “Assessment of Computer-Supported Collaborative Processes using Interpersonal Physiological and Eye-Movement Coupling”, ACII 2013, 5th Int. Conf. Affective Computing and Intelligent Interaction, Geneva, Switzerland, Sept. 2-5, 2013.

Molinari, G., Chanel, G., Bétrancourt, M., Pun, T., & Bozelle, C. (2013). Emotion Feedback during Computer-Mediated Collaboration: Effects on Self-Reported Emotions and Perceived Interaction. In Proceedings of the 10th International Conference on Computer Supported Collaborative Learning. Madison, Wisconsin, USA.

Organization of events

"Affective Computing and Intelligent Interaction conference", Geneva, 2013

"Tools and Technologies for Emotion Awareness in Computer-Mediated Collaboration and Learning" at the Alpine Rendez-vous 2013, Villard-de-Lans, France

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