Research Projects

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Adaptative Emotion Awareness Tools for Computer-Mediated INTeractions (EATMINT)

The project “Affective computing and emotion awareness in computer-mediated interaction” aims at developing emotion awareness tools (EAT) to improve the collaborative processes and outcomes of people working together through computers.

In computer-mediated collaboration (CMC), it is rather difficult for people to recognize others’ emotions since emotional cues are limited. Two different EATs are currently being investigated to circumvent this bottleneck and enrich collaboration. The first tool (EAT1) is an interface that partners use to input their own emotions and display them to each other. With the second tool (EAT2), the partners’ emotions are automatically estimated using participants’ behavior and physiology.

In Phase 1 of the project, EAT1 has been employed to study the impact of emotion awareness on the quality of collaboration and group performance in CMC settings. The results demonstrated the interest of using an EAT to improve the quality of collaboration (Chanel et al, 2013; Molinari et al., 2013). Based on these results, Phase 2 of the project has two main objectives:

  • to design and implement real time systems for automatic emotion awareness in CMC settings based on processing physiological and behavioral measurements. Such systems will continuously measure partners’ emotions and the quality of the ongoing interaction, and will display emotion awareness information so as to adapt to ongoing collaborative processes;
  • to study the role of emotion awareness in CMC. EATs are expected to encourage collaborators to engage in strategies such as monitoring, regulating and reflecting on both their own- and their partner’s emotions and behaviors. We will thus analyze both the intra- and interpersonal effects of emotion awareness on collaboration, in different types of collaborative scenarios. Finally, we will study the factors that explain the gender differences observed in Phase 1 and what they imply for the development of EATs.

More information can be found here.

TEAM

Thierry Pun
Professor
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Institution : University of Geneva

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Guillaume Chanel
Senior Researcher
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Institution : University of Geneva

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Mireille Betrancourt
Professor
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Institution : University of Geneva

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Dr. Mohammad Soleymani
PhD, Senior researcher (Group Leader)
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Michal Muszynski

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Institution : UNIGE
Discipline : Computer science
Thesis topic : Emotional and aesthetic highlights detection in movies
Supervisor : T. Pun

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Gaëlle Molinari
Senior Researcher
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Institution : University of Geneva

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Sunny Avry
PhD Student
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Institution : University of Geneva

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Theodoros Kostoulas
Lecturer in computing

Institution : Bournemouth University

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