AVOCUS: A Voice Customization System for Online Personas

Hyeon Jeong Byeon, Seungjin Ha, Uran Oh

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

1 Scopus citations


Many digital applications offer avatar customization options, positively affecting user experience. However, the adoption of auditory aspects in avatar customization has often been neglected and may have been understudied for its potential. Inspired by prior research that uncovers end-user's demands for voice customization, we seek to apply the identified implications into practice and discover end-user's voice preferences and behavior towards voice customization systems. To this end, we designed and deployed AVOCUS, a web application that enables users to search for specific voices or manipulate voice-related parameters to generate a voice similar to a target voice. Our findings suggest that (1) searching for specific voice using hashtags were perceived to be easy, (2) customized voices generated from voice reflection and voice parameter control functions had high satisfaction, and (3) participants tend to reflect the features of their desired voices when customizing their own voice.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394222
StatePublished - 19 Apr 2023
Event2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany
Duration: 23 Apr 202328 Apr 2023

Publication series

NameConference on Human Factors in Computing Systems - Proceedings


Conference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.


  • online communication
  • user evaluation
  • voice customization
  • voice perception
  • voice quality


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