Using artificial intelligence to generate visual vignettes in factorial survey experiments
Authors: N Schwitter
Published: 2025
Publication: Social Science Computer Review, 2025 - journals.sagepub.com
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.
Limitations: Ethical considerations, biases in AI tools, and technical constraints of generative AI.
Institution: University of Lucerne
Research Area: Artificial Intelligence in Social Science Research Methods, Factorial Survey Experiments, Visual Vignettes Generation
Discipline: Social Science
Citations: 1