Group-based Emotions in Teams of Humans and Robots

Filipa Correia, Samuel Mascarenhas, Rui Prada, Francisco Melo, Ana Paiva

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


Providing social robots an internal model of emotions can help them guide their behaviour in a more humane manner by simulating the ability to feel empathy towards others. Furthermore, the growing interest in creating robots that are capable of collaborating with other humans in team settings provides an opportunity to explore another side of human emotion, namely, group-based emotions. This paper contributes with the first model on group-based emotions in social robotic partners. We defined a model of group-based emotions for social robots that allowed us to create two distinct robotic characters that express either individual or group-based emotions. This paper also contributes with a user study where two autonomous robots embedded the previous characters, and formed two human-robot teams to play a competitive game. Our results showed that participants perceived the robot that expresses groupbased emotions as more likeable and attributed higher levels of group identification and group trust towards their teams, when compared to the robotic partner that expresses individual-based emotions.
Original languageEnglish
Title of host publicationHRI ’18- Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
PublisherAssociation for Computing Machinery (ACM)
Number of pages9
ISBN (Print)978-1-4503-4953-6
Publication statusPublished - 1 Mar 2018
Externally publishedYes
Event2018 ACM/IEEE International Conference on Human-Robot Interaction: HRI2018 - Chicago, United States
Duration: 5 Mar 20188 Mar 2018


Conference2018 ACM/IEEE International Conference on Human-Robot Interaction
Country/TerritoryUnited States
Internet address


  • human-robot teamwork
  • emotion
  • inter-group interactions
  • group effects
  • identification
  • self-categorisation
  • trust


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