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| title: README |
| emoji: 馃幁 |
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| # Affective Computing Group 路 Adam Mickiewicz University in Pozna艅 |
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| The **Affective Computing Group** was established by the [Center for Cognitive Neuroscience](https://neuroscience.amu.edu.pl/) |
| and the [Center for Artificial Intelligence](https://csi.amu.edu.pl/en) 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. |
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| 馃敆 [About the group](https://neuroscience.amu.edu.pl/affective-computing/) |
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| ## 馃弳 Leaderboard |
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| **[Affective VLM Leaderboard](https://huggingface.co/spaces/ACG-AMU/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. |
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| ## 馃摎 Datasets |
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| **[LAI-GAI](https://huggingface.co/datasets/ACG-AMU/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](https://www.affectdatabases.amu.edu.pl/). |
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| ## 馃搫 Publications |
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| - **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](https://arxiv.org/abs/2602.00123) 路 [Code](https://github.com/filnow/VAA-VLM) |
| - **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](https://doi.org/10.1177/25152459251415336) |
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