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




AuthorsKaate Ilkka, Salminen Joni, Jung Soongyo, Almerekhi Hind, Jansen Bernard James

EditorsCristina Gena, Luigi De Russis, Tania Di Mascio, Rosa Lanzilotti, Davide Spano, Salvatore Andolina, Catia Prandi

Conference nameConference of the Italian SIGCHI Chapter

PublisherAssociation for Computing Machinery

Publishing placeNew York, NY

Publication year2023

Book title CHItaly '23: Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter

Journal name in sourceACM International Conference Proceeding Series

First page 1

Last page12

ISBN979-8-4007-0806-0

DOIhttps://doi.org/10.1145/3605390.3605397(external)

Web address https://doi.org/10.1145/3605390.3605397(external)

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/181498677(external)


Abstract

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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Last updated on 2024-26-11 at 17:05