Social group human-robot interaction: a scoping review of computational challenges
File(s)
Author(s)
Nigro, Massimiliano
Akinrintoyo, Emmanuel
Salomons, Nicole
Spitale, Micol
Type
Conference Paper
Abstract
Group interactions are a natural part of our daily life, and as robots become more integrated into society, they must be able to socially interact with multiple people at the same time. However, group human-robot interaction (HRI) poses unique computational challenges often overlooked in the current HRI literature. We conducted a scoping review including 44 group HRI papers from the last decade (2015-2024). From these papers, we extracted variables related to perception and behaviour generation challenges, as well as factors related to the environment, group, and robot capabilities that influence these challenges. Our findings show that key computational challenges in perception included detection of groups, engagement, and conversation information, while challenges in behaviour generation involved developing approaching and conversational behaviours. We also identified research gaps, such as improving detection of subgroups and interpersonal relationships, and recommended future work in group HRI to help researchers address these
computational challenges.
computational challenges.
Date Issued
2025-03-04
Date Acceptance
2025-03-12
Citation
HRI '25: Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction, 2025, pp.468-478
Publisher
IEEE Press
Start Page
468
End Page
478
Journal / Book Title
HRI '25: Proceedings of the 2025 ACM/IEEE International Conference on Human-Robot Interaction
Copyright Statement
Copyright © 2025 IEEE Press. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Source
Human-Robot Interaction (HRI 2025)
Publication Status
Published
Start Date
2025-03-04
Finish Date
2025-03-06
Coverage Spatial
Melbourne, Australia