TY - GEN
T1 - AVOCUS
T2 - 2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
AU - Byeon, Hyeon Jeong
AU - Ha, Seungjin
AU - Oh, Uran
N1 - 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-2023-2020-0-01460) supervised by the IITP (Institute for Information & Communications Technology Planning & Evaluation).
Publisher Copyright:
© 2023 Owner/Author.
PY - 2023/4/19
Y1 - 2023/4/19
N2 - 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.
AB - 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.
KW - online communication
KW - user evaluation
KW - voice customization
KW - voice perception
KW - voice quality
UR - http://www.scopus.com/inward/record.url?scp=85158152145&partnerID=8YFLogxK
U2 - 10.1145/3544549.3585892
DO - 10.1145/3544549.3585892
M3 - Conference contribution
AN - SCOPUS:85158152145
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 23 April 2023 through 28 April 2023
ER -