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.

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Evaluation,Human-computer interaction,User behaviour,Human factors,Artificially generated facial pictures

• Computer and Information Sciences - Natural Sciences
• Psychology - Social Sciences
• Other Social Sciences - Social Sciences
• Other Humanities - Humanities

This publication is an output of the following project(s):

• Candidates Survey (MPs and non-elected candidates) for the 2019 Legislative Elections
• Candidates Survey (MPs and non-elected candidates) for the 2022 Legislative Elections