Abstract
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.
Original language | English |
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Title of host publication | HRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Publication date | 8. Mar 2021 |
Pages | 421-425 |
Article number | 3447205 |
ISBN (Electronic) | 9781450382908 |
DOIs | |
Publication status | Published - 8. Mar 2021 |
Event | 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, United States Duration: 8. Mar 2021 → 11. Mar 2021 |
Conference
Conference | 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 08/03/2021 → 11/03/2021 |
Sponsor | ACM SIGAI, ACM SIGCHI, IEEE, IEEE Robotics and Automation Society |
Keywords
- Gaze
- Incrementality
- Initiating interaction
- Personalization
- Voice