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Bots of a Feather: Exploring User Perceptions of Group Cohesiveness for Application in Robotic Swarms
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Robotics, Perception and Learning, RPL.
Paris 8 Univ, Dept Psychol, CHArt LUTIN Lab, Paris, France..
Ecole Technol Super, Dept Mech Engn, Montreal, PQ, Canada..
2022 (English)In: 2022 31ST IEEE INTERNATIONAL CONFERENCE ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN 2022), Institute of Electrical and Electronics Engineers (IEEE) , 2022, p. 95-100Conference paper, Published paper (Refereed)
Abstract [en]

Behaviours of robot swarms often take inspiration from biological models, such as ant colonies and bee hives. Yet, understanding how these behaviours are actually perceived by human users has so far received limited attention. In this paper, we use animations to represent different kinds of possible swarm motions intended to communicate specific messages to a human. We explore how these animations relate to the perceived group cohesiveness of the swarm, comprised of five different parameters: synchronising, grouping, following, reacting, and shape forming. We conducted an online user study where 98 participants viewed nine animations of a swarm displaying different behaviours and rated them for perceived group cohesiveness. We found that the parameters of group cohesiveness correlated with the messages the swarm was perceived as communicating. In particular, the message of initiating communication was highly positively correlated with all group parameters, whereas broken communication was negatively correlated. In addition, the importance of specific group parameters differed within each animation. For example, the parameter of grouping was most associated with animations signalling an intervention is needed. These findings are discussed within the context of designing intuitive behaviour for robot swarms.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. p. 95-100
National Category
Human Computer Interaction Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-322359DOI: 10.1109/RO-MAN53752.2022.9900567ISI: 000885903300014Scopus ID: 2-s2.0-85140775620OAI: oai:DiVA.org:kth-322359DiVA, id: diva2:1718032
Conference
31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) - Social, Asocial, and Antisocial Robots, AUG 29-SEP 02, 2022, Napoli, ITALY
Note

Part of proceedings: ISBN 978-1-7281-8859-1

QC 20221212

Available from: 2022-12-12 Created: 2022-12-12 Last updated: 2022-12-12Bibliographically approved

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Stower, Rebecca

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