Abstrakt
In this paper, we present a study in which a robot initiates interactions with people passing by in an in-the-wild scenario. The robot adapts the loudness of its voice dynamically to the distance of the respective person approached, thus indicating who it is talking to. It furthermore tracks people based on information on body orientation and eye gaze and adapts the text produced based on people's distance autonomously. Our study shows that the adaptation of the loudness of its voice is perceived as personalization by the participants and that the likelihood that they stop by and interact with the robot increases when the robot incrementally adjusts its behavior.
Originalsprog | Engelsk |
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Titel | HRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction |
Udgivelsessted | New York |
Forlag | Association for Computing Machinery |
Publikationsdato | 8. mar. 2021 |
Sider | 421-425 |
Artikelnummer | 3447205 |
ISBN (Elektronisk) | 9781450382908 |
DOI | |
Status | Udgivet - 8. mar. 2021 |
Begivenhed | 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, USA Varighed: 8. mar. 2021 → 11. mar. 2021 |
Konference
Konference | 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 |
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Land/Område | USA |
By | Virtual, Online |
Periode | 08/03/2021 → 11/03/2021 |
Sponsor | ACM SIGAI, ACM SIGCHI, IEEE, IEEE Robotics and Automation Society (IEEE RAS |
Bibliografisk note
Funding Information:This project was funded by the Innovation Fund Denmark.
Publisher Copyright:
© 2021 ACM.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.