Our research contributes to a better understanding of AI's impact on human wellbeing. This year, we published over 20 studies:

• Archiwaranguprok, C., Albrecht, C., Maes, P., Karahalios, K., & Pataranutaporn, P. Simulating Psychological Risks in Human-AI Interactions: Real-Case Informed Modeling of AI-Induced Addiction, Anorexia, Depression, Homicide, Psychosis, and Suicide. arXiv preprint arXiv:2511.08880, 2025 [Link]
• Pataranutaporn, P., Powdthavee, N., Archiwaranguprok, C., & Maes, P. Simulating Human Well-being with Large Language Models: Systematic Validation and Misestimation Across 64,000 Individuals from 64 Countries. Proceedings of the National Academy of Sciences, 122(48):e2519394122, 2025. [Link]
• Fang, C. M., Liu, A. R., Danry, V., Lee, E., Chan, S. W. T., Pataranutaporn, P., Maes, P., Phang, J., Lampe, M., Ahmad, L., & Agarwal, S. How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use: A Longitudinal Randomized Controlled Study. arXiv preprint arXiv:2503.17473, 2025. [Link]

• Naseck, P., Blanchard, L., Lavakare, M., Lecamwasam, K., & Paradiso, J. A. Physical Manifestation of Generative AI Music Systems for Live Performance. In Proceedings of the SIGGRAPH Asia 2025 Art Papers, pages 1-6, 2025. [Link]

• Wu, Y., Wang, M., Lei, H., Brade, S., Blanchard, L., Wu, S.-L., Courville, A., & Huang, A. Streaming Generation for Music Accompaniment. arXiv preprint arXiv:2510.22105, 2025. [Link]
• Pataranutaporn, P., Karny, S., Archiwaranguprok, C., Albrecht, C., Liu, A. R., & Maes, P. “My Boyfriend is AI”: A Computational Analysis of Human-AI Companionship in Reddit's AI Community. arXiv preprint arXiv:2509.11391, 2025. [Link]
• Albrecht, C., Archiwaranguprok, C., Poonsiriwong, R., Chen, A., Yin, P., Lertsutthiwong, M., Winson, K., Hershfield, H., Maes, P., & Pataranutaporn, P. Future You: Designing and Evaluating Multimodal AI-generated Digital Twins for Strengthening Future Self-Continuity. arXiv preprint arXiv:2512.06106, 2025. [Link]
• Archiwaranguprok, C., Chen, A., Karny, S., Ishii, H., Maes, P., & Pataranutaporn, P. Atlas of Human-AI Interaction (v1): An Interactive Meta-Science Platform for Large-Scale Research Literature Sensemaking. arXiv preprint arXiv:2509.25499, 2025. [Link]

• Rani, A., Danry, V., Liang, P. P., Lippman, A. B., & Maes, P. Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills. arXiv preprint arXiv:2510.01537, 2025. [Link]
• Danry, V., Pataranutaporn, P., Cui, C., Hung, J.-T., Blanchard, L., Buçinca, Z., Tan, C., Starner, T., & Maes, P. Human-AI Interaction for Augmented Reasoning: Improving Human Reflective and Critical Thinking with Artificial Intelligence. In CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Article No. 787, pages 1-6, 2025. [Link]
• Danry, V., Pataranutaporn, P., Groh, M., & Epstein, Z. Deceptive Explanations by Large Language Models Lead People to Change Their Beliefs About Misinformation More Often Than Honest Explanations. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pages 1-31, 2025. [Link]
• Rani, A., Danry, V., Lippman, A., & Maes, P. Can Dialogues with AI Systems Help Humans Better Discern Visual Misinformation? arXiv preprint arXiv:2504.06517, 2025. [Link]
• Singh, N., Cherep, M., & Maes, P. Discovering and Steering Interpretable Concepts in Large Generative Music Models. arXiv preprint arXiv:2505.18186, 2025. [Link]
• Matton, K., Balaji, P., Ghasemzadeh, H., Cooper, J. C., Mehta, D. D., Van Stan, J. H., Hillman, R. E., Picard, R., Guttag, J., & Abulnaga, S. M. Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression. In Proceedings of Machine Learning Research 297, ML4H 2025, arXiv preprint arXiv:2511.09702, 2025. [Link]
• Zhang, C., Kim, M., Ghorbani, S., Wu, J., Picard, R., Maes, P., & Liang, P. P. When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal Reasoning. Accepted at the Multimodal Algorithmic Reasoning (MAR) Workshop, NeurIPS 2025, arXiv preprint arXiv:2511.02794, 2025. [Link]
• Scheirer, J., Picard, R., & Cantrell, A. Personalized Animations for Affective Feedback: Generative AI Helps to Visualize Skin Conductance. In MRAC '25: Proceedings of the 3rd International Workshop on Multimodal and Responsible Affective Computing, pages 146-151, 2025. [Link]
• Kim, M., Wang, W., Long, J., Picard, R., Barczi, N., & Maes, P. Reflective Agency: Ethical and Empirical Framework for AI-Mediated Self-Reflection Systems. In Proceedings of the Eighth AAAI/ACM Conference on AI, Ethics, and Society (AIES-25), Vol. 8 No. 2, 2025. [Link]
• Hidalgo Julia, N., Lewis, R., Ferguson, C., Goldberg, S., Lau, W., Swords, C., Valdivia, G., Wilson-Mendenhall, C., Tartar, R., Picard, R., & Davidson, R. Identifying Vocal and Facial Biomarkers of Depression in Large-Scale Remote Recordings: A Multimodal Study Using Mixed-Effects Modeling. In Proceedings of the Interspeech 2025, pages 5263-5267, 2025. [Link]
• Wu, C., Kumar, I. K., & Picard, R. Navigating Emotions Through Art: Recommendations for Designing Art-Therapy Based Chatbots for Trauma-Impacted Youth. In CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Article No. 413, pages 1-7, 2025. [Link]
• Zulfikar, W., Chiaravalloti, T., Shen, J., Picard, R., & Maes, P. Resonance: Drawing from Memories to Imagine Positive Futures through AI-Augmented Journaling. In AHs '25: Proceedings of the Augmented Humans International Conference 2025, pages 199-215, 2025. [Link]
• Lewis, R., Fedor, S., Hidalgo Julia, N., Curtiss, J., Kim, J., Jones, N., Mischoulon, D., Quatieri, T. F., Cummins, N., Pedrelli, P., & Picard, R. Towards the Objective Characterisation of Major Depressive Disorder Using Speech Data from a 12-week Observational Study with Daily Measurements. In Proceedings of the Interspeech 2025, pages 494-498, 2025.  [Link]