How Do Users Perceive Deepfake Personas? Investigating the Deepfake User Perception and Its Implications for Human-Computer Interaction

Ilkka Kaate, Joni Salminen, Soon Gyo Jung, Hind Almerekhi, Bernard J. Jansen

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

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationCHItaly 2023 - Crossing HCI and AI
Subtitle of host publicationProceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter
PublisherAssociation for Computing Machinery
ISBN (Electronic)9798400708060
DOIs
Publication statusPublished - 20 Sept 2023
Event15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, CHItaly 2023 - Hybrid, Torino, Italy
Duration: 20 Sept 202322 Sept 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, CHItaly 2023
Country/TerritoryItaly
CityHybrid, Torino
Period20/09/2322/09/23

Keywords

  • Deepfakes
  • HCI applications
  • user experience
  • user perceptions

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