Initiating human-robot interactions using incremental speech adaptation

Kerstin Fischer, Lakshadeep Naik, Rosalyn M. Langedijk, Timo Baumann, Matouš Jelínek, Oskar Palinko

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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.

OriginalsprogEngelsk
TitelHRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
UdgivelsesstedNew York
ForlagAssociation for Computing Machinery
Publikationsdato8. mar. 2021
Sider421-425
Artikelnummer3447205
ISBN (Elektronisk)9781450382908
DOI
StatusUdgivet - 8. mar. 2021
Begivenhed2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, USA
Varighed: 8. mar. 202111. mar. 2021

Konference

Konference2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
Land/OmrådeUSA
ByVirtual, Online
Periode08/03/202111/03/2021
SponsorACM 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.

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