Initiating human-robot interactions using incremental speech adaptation

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

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationHRI 2021 - Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Publication date8. Mar 2021
Pages421-425
Article number3447205
ISBN (Electronic)9781450382908
DOIs
Publication statusPublished - 8. Mar 2021
Event2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021 - Virtual, Online, United States
Duration: 8. Mar 202111. Mar 2021

Conference

Conference2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period08/03/202111/03/2021
SponsorACM SIGAI, ACM SIGCHI, IEEE, IEEE Robotics and Automation Society

Keywords

  • Gaze
  • Incrementality
  • Initiating interaction
  • Personalization
  • Voice

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