Affect Modeling for robots In GrOup Social interactions
Duration: from 2016 Jul 01 to 2019 Jun 30
Financed by: FCT
Prime Contractor: INESC-ID (Other)
This project investigates the role of emotions and adaptation in interactions between a robot and a group of users, contrasting to the typical one robot one user 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 [LML+15], 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 [PPP14].
Partnerships: ISCTE (University)
Partnerships: Universidade de Lisboa (University) -Portugal
Principal Investigator: Ana Maria Severino de Almeida e PaivaReturn to Project List