Using artificially generated pictures in customer-facing systems: an evaluation study with data-driven personas

Joni Salminen, Soon gyo Jung, Ahmed Mohamed Sayed Kamel, João M. Santos, Bernard J. Jansen

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We conduct two studies to evaluate the suitability of artificially generated facial pictures for use in a customer-facing system using data-driven personas. STUDY 1 investigates the quality of a sample of 1,000 artificially generated facial pictures. Obtaining 6,812 crowd judgments, we find that 90% of the images are rated medium quality or better. STUDY 2 examines the application of artificially generated facial pictures in data-driven personas using an experimental setting where the high-quality pictures are implemented in persona profiles. Based on 496 participants using 4 persona treatments (2 × 2 research design), findings of Bayesian analysis show that using the artificial pictures in persona profiles did not decrease the scores for Authenticity, Clarity, Empathy, and Willingness to Use of the data-driven personas.

Original languageEnglish (US)
Pages (from-to)905-921
Number of pages17
JournalBehaviour and Information Technology
Volume41
Issue number5
DOIs
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • General Social Sciences
  • Human-Computer Interaction

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