TY - GEN
T1 - Towards a Positive Thinking About Deepfakes
T2 - Thematic Area Human Computer Interaction, HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024
AU - Chang, Chih Jung
AU - Chien, Wei Chi
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This study conducted a prospective exploration to investigate humans’ experiences with self-deepfaked voices, specifically the differences between AI-generated, self-deepfaked, and authentic human voices in the hedonic and pragmatic contexts. Our result shows that, despite participants consistently preferring human voices across all tasks, their experiences between authentic human voice, self-deepfaked, and AI-generated voices, and between hedonic and pragmatic contexts can be different. Self-deepfaked voices outperformed in hedonic scenarios, providing enriched listening experiences. On the contrary, self-deepfakes and AI-generated voices exhibit their different potentials in pragmatic contexts. The findings could inspire the potential application of deepfakes to create a proper social experience between humans and AI.
AB - This study conducted a prospective exploration to investigate humans’ experiences with self-deepfaked voices, specifically the differences between AI-generated, self-deepfaked, and authentic human voices in the hedonic and pragmatic contexts. Our result shows that, despite participants consistently preferring human voices across all tasks, their experiences between authentic human voice, self-deepfaked, and AI-generated voices, and between hedonic and pragmatic contexts can be different. Self-deepfaked voices outperformed in hedonic scenarios, providing enriched listening experiences. On the contrary, self-deepfakes and AI-generated voices exhibit their different potentials in pragmatic contexts. The findings could inspire the potential application of deepfakes to create a proper social experience between humans and AI.
UR - http://www.scopus.com/inward/record.url?scp=85195859091&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85195859091&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-60405-8_20
DO - 10.1007/978-3-031-60405-8_20
M3 - Conference contribution
AN - SCOPUS:85195859091
SN - 9783031604041
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 311
EP - 325
BT - Human-Computer Interaction - Thematic Area, HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
A2 - Kurosu, Masaaki
A2 - Hashizume, Ayako
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 29 June 2024 through 4 July 2024
ER -