Persuasive synthetic speech: Voice perception and user behaviour

Mateusz Dubiel, Martin Halvey, Pilar Oplustil Gallegos, Simon King

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Previous research indicates that synthetic speech can be as persuasive as human speech. However, there is a lack of empirical validation on interactive goal-oriented tasks. In our two-stage study (online listening test and lab evaluation), we compared participants' perception of the persuasiveness of synthetic voices created from speech in a debating style vs. speech from audio-books. Participants interacted with our Conversational Agent (CA) to complete 4 flight-booking tasks and were asked to evaluate the voice, message and perceived personal qualities. We found that participants who interacted with the CA using the voice created from debating style speech rated it as significantly more truthful and more involved than the CA using the audio-book-based voice. However, there was no difference in how frequently each group followed the CA's recommendations. We hope our investigation will provoke discussion about the impact of different synthetic voices on users' perceptions of CAs in goal-oriented tasks.
Original languageEnglish
Title of host publicationCUI '20
Subtitle of host publicationProceedings of the 2nd Conference on Conversational User Interfaces
EditorsMaría Inés Torres, Stephan Schlögl
Place of PublicationNew York
PublisherACM Association for Computing Machinery
Pages1-9
Number of pages9
ISBN (Electronic)9781450375443
DOIs
Publication statusPublished - Jul 2020
Event2nd Conference on Conversational User Interfaces, CUI 2020 - Bilbao, Spain
Duration: 22 Jul 202024 Jul 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2nd Conference on Conversational User Interfaces, CUI 2020
Country/TerritorySpain
CityBilbao
Period22/07/2024/07/20

Keywords / Materials (for Non-textual outputs)

  • speech perception
  • speech synthesis
  • user behaviour

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