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AMIGOS Webpage icon

Collaborators: Ana Paiva, Francisco S. Melo, Patrícia Arriaga, Filipa Correia, Sofia Petisca
Keywords: human­-robot interaction, affective computing, adaptive agents, group interactions




Description

The AMIGOS (Affect Modeling for robots In GrOup Social interactions) project investigates the role of emotions and adaptation in interactions between a robot and a group of users, contrasting to the typical one-robot one­user paradigm in Human­Robot Interaction (HRI). Despite the complex social challenges that long­term HRI will soon bring, so far little is known about how perception and action selection systems, typically designed for one­to­one interactions, will perform in multiparty settings. Recent studies in this area indicate that data­driven perception mechanisms trained with information from individual interactions do not generalize well in group settings, raising the need to investigate new adaptive mechanisms for robots interacting with groups of users. Previous research by members of this team studied social robots in multiparty interactions, yet these robots had limited capabilities and were evaluated in single interactions with users.

Publications

 
Groups of humans and robots: Understanding membership preferences and team formation
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Filipa Correia and Sofia Petisca and Patrícia Alves-Oliveira and Tiago Ribeiro and Francisco S Melo and Ana Paiva, Robotics: Science and Systems 2017 (RSS), July, 2017
YOLO, a Robot for Creativity: A Co-Design Study with Children
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Patrícia Alves-Oliveira and Patrícia Arriaga and Ana Paiva and Guy Hoffman, Proceedings of the 2017 Conference on Interaction Design and Children, pg. 423--429, June, 2017
   
Boosting children's creativity through creative interactions with social robots
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Patrícia Alves-Oliveira and Patrícia Arriaga and Guy Hoffman and Ana Paiva, Human-Robot Interaction (HRI), 2016 11th ACM/IEEE International Conference on, pg. 591--592, March, 2016