Authors: N Schwitter
Year: 2025
Published in: Social Science Computer Review, 2025 - journals.sagepub.com
Institution: University of Lucerne
Research Area: Artificial Intelligence in Social Science Research Methods, Factorial Survey Experiments, Visual Vignettes Generation
Discipline: Social Science
This paper explores the use of generative AI for creating visual vignettes in factorial survey experiments, highlighting their potential to boost realism and engagement while addressing ethical and technical challenges.
Methods: Techniques for generating and selectively editing AI-generated images were demonstrated, and a pretest with human participants was conducted to evaluate perceptions and interpretations of the images.
Key Findings: Application of AI-generated visual vignettes in social science research and participant interpretation of these images.
Citations: 1
