"A Voice that Suits the Situation": Understanding the Needs and Challenges for Supporting End-User Voice Customization

Hyeon Jeong Byeon, Chaerin Lee, Jeemin Lee, Uran Oh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Although there is a potential demand for customizing voices, most customization is limited to the visual appearance of a figure (e.g., avatars). To better understand the users' need, we first conducted an online survey with 104 participants. Then we conducted a semi-structured interview with a prototype with 14 participants to identify design considerations for supporting voice customization. The results show that there is a desire for voice customization especially for non-face-to-face conversations with someone unfamiliar. In addition, the findings revealed that different voices are favored for different contexts from a better version of one's own voice for improving delivery to a completely different voice for securing identity. As future work, we plan to extend this study by investigating voice synthesis techniques for end-users who wish to design their own voices for various contexts.

Original languageEnglish
Title of host publicationCHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450391573
DOIs
StatePublished - 29 Apr 2022
Event2022 CHI Conference on Human Factors in Computing Systems, CHI 2022 - Virtual, Online, United States
Duration: 30 Apr 20225 May 2022

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2022 CHI Conference on Human Factors in Computing Systems, CHI 2022
Country/TerritoryUnited States
CityVirtual, Online
Period30/04/225/05/22

Bibliographical note

Funding Information:
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2021-2020-0-01460) supervised by the IITP(Institute for Information & Communications Technology Planning & Evaluation). Also, this work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF2021R1F1A105278611).

Publisher Copyright:
© 2022 ACM.

Keywords

  • voice customization
  • voice perception
  • voice quality

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