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title: README
emoji: 馃幁
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colorTo: pink
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Affective Computing Group 路 Adam Mickiewicz University in Pozna艅
The Affective Computing Group was established by the Center for Cognitive Neuroscience and the Center for Artificial Intelligence at Adam Mickiewicz University in Pozna艅. We study human emotions using modern technologies. We want emotion research to help build better and more responsible technologies, and we want technology to help us study emotions better. To understand human emotions, we combine AI tools, data analysis and knowledge from affective science.
馃弳 Leaderboard
Affective VLM Leaderboard: how well do vision-language models predict human emotional responses to images? Models are evaluated zero-shot on IAPS, NAPS and LAI-GAI, on emotion classification and on prediction of Likert ratings, and compared against a human inter-rater ceiling.
馃摎 Datasets
LAI-GAI: Library of AI-Generated Affective Images. 847 AI-generated images designed to evoke 12 emotions. Each image has human ratings on 18 discrete and dimensional affective scales. The full library, with prompts and metadata, is at affectdatabases.amu.edu.pl.
馃搫 Publications
- Visual Affect Analysis: Predicting Emotions of Image Viewers with Vision-Language Models. Nowicki, F., Marciniak, H., 艁膮czkowski, J., Jassem, K., G贸recki, T., Balakrishnan, V., Ong, D. C., Behnke, M. ACII 2026. arXiv:2602.00123 路 Code
- Using Artificial Intelligence to Generate Affective Images: Methodology and Initial Library. Behnke, M., K艂oskowski, M., Klichowski, M., et al. Advances in Methods and Practices in Psychological Science, 9(1), 2026. doi:10.1177/25152459251415336