PROJECTS

AMIGOS: Entertainment
with Robots
Affect Modeling For Robots in Group Social Interaction
REFERENCE: PTDC/EEI-SII/7174/2014
YEARS: 2016-2019

GOALS:
Emotions, especially empathy, are crucial in Human-Robot Interaction (HRI) for fostering social connections between a single robot and a user. This project explored how such emotional dynamics play out in extended social interactions and when a robot engages with multiple users.
Although the traditional one-on-one HRI model is often investigated, there is limited knowledge about how perception and action selection systems, designed primarily for individual interactions, function in multiparty settings. Our research used computational emotion modeling to examine the role and adaptability of robots in group interactions, investigating if outcomes observed in one-on-one settings remain consistent in group scenarios.
RESEARCHERS
Ana Paiva (PI, INESC-ID, GAIPS)
Patrícia Arriaga (CO-PI, ISCTE-IUL)
Francisco Melo (INESC-ID, GAIPS)
Iolanda Leite (Division of Robotics, Perception and Learning, Royal Institute of Technology, Sweeden)
Raquel Oliveira
Patrícia Alves-Oliveira




RELATED PUBLICATIONS
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Looking beyond collaboration: Socioemotional positive, negative, and task-oriented behaviors in Human-Robot Group Interactions. International Journal of Social Robotics, 12, 505–518.
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Groups of Humans and Robots: the AMIGOS Project. Workshop: Groups in Human-Robot Interaction, The 26th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2017.
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Friends or Foes? Socioemotional Support and Gaze Behaviors in Mixed Groups of Humans and Robots. In Proceedings of Human Robot Interaction Conference (pp. 279-288), Chicago, IL, USA, March 2018 (HRI’18).
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Exploring Prosociality in Human-Robot Teams. In Proceedings of the International Conference on Human-Robot Interaction (HRI 2019), p. 143-151. ACM/IEEE.
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The stereotype content model applied to human-robot interactions in groups. In Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2019) pp. 123-132.