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Initiating Human-Robot Interactions Using Incremental Speech Adaptation

  • 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.

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Metadaten
Author:Kerstin Fischer, Lakshadeep Naik, Rosalyn Melissa Langedijk, Timo BaumannORCiDGND, Matouš Jelínek, Oskar Palinko
DOI:https://doi.org/10.1145/3434074.3447205
ISBN:9781450382908
Parent Title (English):HRI '21 Companion, Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction: March 8 - 11, 2021, Boulder CO, USA
Publisher:Association for Computing Machinery
Place of publication:New York, NY
Editor:Cindy Bethel, Ana Paiva
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2021
Release Date:2022/04/09
Tag:gaze; incrementalit; initiating interaction; personalization; voice
First Page:421
Last Page:425
Institutes:Fakultät Informatik und Mathematik
Begutachtungsstatus:peer-reviewed
Publication:Externe Publikationen
research focus:Information und Kommunikation
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG