A4 Refereed article in a conference publication
How Do Users Perceive Deepfake Personas? Investigating the Deepfake User Perception and Its Implications for Human-Computer Interaction
Authors: Kaate Ilkka, Salminen Joni, Jung Soongyo, Almerekhi Hind, Jansen Bernard James
Editors: Cristina Gena, Luigi De Russis, Tania Di Mascio, Rosa Lanzilotti, Davide Spano, Salvatore Andolina, Catia Prandi
Conference name: Conference of the Italian SIGCHI Chapter
Publisher: Association for Computing Machinery
Publishing place: New York, NY
Publication year: 2023
Book title : CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter
Journal name in source: ACM International Conference Proceeding Series
First page : 1
Last page: 12
ISBN: 979-8-4007-0806-0
DOI: https://doi.org/10.1145/3605390.3605397(external)
Web address : https://doi.org/10.1145/3605390.3605397(external)
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/181498677(external)
Although deepfakes have a negative connotation in human-computer interaction (HCI) due to their risks, they also involve many opportunities, such as communicating user needs in the form of a “living, talking” deepfake persona. To scope and better understand these opportunities, we present a qualitative analysis of 46 participants’ think-aloud transcripts based on interacting with deepfake personas and human personas, representing a potentially beneficial application of deepfakes for HCI. Our qualitative analysis of 92 think-aloud records indicates five central user deepfake themes, including (1) Realism, (2) User Needs, (3) Distracting Properties, (4) Added Value, and (5) Rapport. The results indicate various challenges in deepfake user perception that technology developers need to address before the potential of deepfake applications can be realized for HCI.
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