Abstract
This study explores how generative AI (GAI) and humans interpret emotional meanings through color in cinematic visuals. Drawing from film color theory, we designed a set of mood palettes and applied them to keyframes generated by GAI. Using qualitative questionnaires, we compared emotional interpretations from human participants and GPT-4o. Results revealed overlapping but diverging perceptions: humans relied on narrative context and memory, while AI leaned on statistical associations. These findings highlight GAI’s limited emotional grounding and suggest opportunities to enhance visual storytelling tools through hybrid color-emotion frameworks. This research contributes to emerging dialogues in computational aesthetics, human–AI perception, and design methodology.
Keywords
Emotional Color Palette; Generative AI; Visual Perception; Design Experimentation
DOI
https://doi.org/10.21606/iasdr.2025.1133
Citation
Chung, H., Lin, T.,and Cheng, Y.(2025) Exploring Human-AI Differences in Emotional Color Perception: A Pictorial Study on GAI-Generated Cinematic Visuals through Design Research, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1133
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 3 - Design, Art & Technology
Exploring Human-AI Differences in Emotional Color Perception: A Pictorial Study on GAI-Generated Cinematic Visuals through Design Research
This study explores how generative AI (GAI) and humans interpret emotional meanings through color in cinematic visuals. Drawing from film color theory, we designed a set of mood palettes and applied them to keyframes generated by GAI. Using qualitative questionnaires, we compared emotional interpretations from human participants and GPT-4o. Results revealed overlapping but diverging perceptions: humans relied on narrative context and memory, while AI leaned on statistical associations. These findings highlight GAI’s limited emotional grounding and suggest opportunities to enhance visual storytelling tools through hybrid color-emotion frameworks. This research contributes to emerging dialogues in computational aesthetics, human–AI perception, and design methodology.