Pat Pataranutaporn

Liu, X., Pataranutaporn, P., Fram, B. et al. Development and flight-testing of modular autonomous cultivation systems for biological plastics upcycling aboard the ISS. npj Microgravity 11, 23 (2025). https://doi.org/10.1038/s41526-025-00463-2

Shekar, S., Pataranutaporn, P., Sarabu, C., Cecchi, G. A., & Maes, P. (2025). People Overtrust AI-Generated Medical Advice despite Low Accuracy. NEJM AI, AIoa2300015.

Chan, S., Pataranutaporn, P., Suri, A., Zulfikar, W., Maes, P., & Loftus, E. F. (2024). Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews. arXiv preprint arXiv:2408.04681.

Joanne Leong, Pat Pataranutaporn, Valdemar Danry, Florian Perteneder, Yaoli Mao, and Pattie Maes. 2024. Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. In CHI'24. May 11-16, 2024, Honolulu, HI, USA. ACM, New York NY, USA, 15 pages. https://doi.org/10.1145/3544548.3581039

Pataranutaporn, P., Mano, P., Bhongse-Tong, P., Chongchadklang, T., Archiwaranguprok, C., Hantrakul, L., Eaimsa-ard, J., Maes, P., & Klunchun, P. (2024). Human-AI co-dancing: Evolving cultural heritage through collaborative choreography with generative virtual characters. In Proceedings of the 9th International Conference on Movement and Computing (Article 14, pp. 1-10). Association for Computing

Pillis, D., Pataranutaporn, P., Maes, P., & Sra, M. (2024). AI comes out of the closet: Using AI-Generated Virtual Characters to Help Individuals Practice LGBTQIA+ Advocacy. In Proceedings of the 29th International Conference on Intelligent User Interfaces

Pataranutaporn, P., Liu, R., Finn, E. et al. Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness. Nat Mach Intell (2023). https://doi.org/10.1038/s42256-023-00720-7

Valdemar Danry, Pat Pataranutaporn, Yaoli Mao, and Pattie Maes. 2023. Don’t Just Tell Me, Ask Me: AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 352, 1–13.

Pataranutaporn, P., Danry, V., Blanchard, L., Thakral, L., Ohsugi, N., Maes, P., & Sra, M. (2023, March). Living memories: Ai-generated characters as digital mementos. In Proceedings of the 28th International Conference on Intelligent User Interfaces (pp. 889-901).

Perry, Eyal, et al. "How to grow (almost) anything: a hybrid distance learning model for global laboratory-based synthetic biology education." Nature Biotechnology (2022): 1-6.

P. Pataranutaporn* J. Leong*, V. Danry*, A. Lawson, P. Maes, M. Sra. 2022. *Co-first authorship ”AI-Generated Virtual Instructors Based on Liked or Admired People Can Improve Motivation and Foster Positive Emotions for Learning” to appear in FIE 2022, October 8-11, Uppsala, Sweden.

Pat Pataranutaporn, Valentina Sumini, Melodie Yashar, Susanna Testa, Marianna Obrist, Scott Davidoff, Amber M. Paul, Dorit Donoviel, Jimmy Wu, Sands A Fish, Ariel Ekblaw, Albrecht Schmidt, Joe Paradiso, and Pattie Maes. 2022. SpaceCHI 2.0: Advancing Human-Computer Interaction Systems for Space Exploration. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI EA '22).

Valdemar Danry, Joanne Leong, Pat Pataranutaporn, Pulkit Tandon, Yimeng Liu, Roy Shilkrot, Parinya Punpongsanon, Tsachy Weissman, Pattie Maes, and Misha Sra. 2022. AI-Generated Characters: Putting Deepfakes to Good Use. In CHI Conference on Human Factors in Computing Systems Extended Abstracts. Association for Computing Machinery, New York, NY, USA, Article 119, 1–5.

Danry, Valdemar, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, and Pattie Maes (Under review). “Deceptive AI systems that give explanations are just as convincing as honest AI systems in human-machine decision making.” Extended Abstract. Presented at the International Conference on Computational Social Science (IC2S2) 2022.

Danry, Valdemar, et al. "On Eliciting a Sense of Self when Integrating with Computers." Augmented Humans 2022. 2022. 68-81.

Pataranutaporn, P., Danry, V., Leong, J. et al. AI-generated characters for supporting personalized learning and well-being. Nat Mach Intell (2021). https://doi.org/10.1038/s42256-021-00417-9

Pataranutaporn, Pat, Valdemar Danry, and Pattie Maes. "Machinoia, Machine of Multiple Me: Integrating with Past, Future and Alternative Selves." Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 2021.

Leong, Joanne, et al. "Exploring the Use of Real-Time Camera Filters on Embodiment and Creativity." Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. 2021.

Pataranutaporn, Pat. Wearable Lab and BioFab on Body : Towards Closed-Loop Bio-Digital Human Augmentation. Diss. Massachusetts Institute of Technology, 2020.

Pataranutaporn, P* ., Vujic, A.* , Kong, D. S., Maes, P., & Sra, M. (2020, March). Living Bits: Opportunities and Challenges for Integrating Living Microorganisms in Human-Computer Interaction. In Proceedings of the Augmented Humans International Conference (pp. 1-12).

Danry, Valdemar, et al. "Wearable Reasoner: Towards Enhanced Human Rationality Through A Wearable Device With An Explainable AI Assistant." ACM Augmented Humans 2020.

Jones, N., Jaques, N., Pataranutaporn, P., Ghandeharioun, A., & Picard, R. (2019, September). Analysis of Online Suicide Risk with Document Embeddings and Latent Dirichlet Allocation. In 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE.

P. Pataranutaporn, A. Jain, C. M. Johnson, P. Shah and P. Maes, "Wearable Lab on Body: Combining Sensing of Biochemical and Digital Markers in a Wearable Device," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 3327-3332. doi: 10.1109/EMBC.2019.8857479

Pataranutaporn, P., Vega Gálvez, T., Yoo, L., Chhetri, A., & Maes, P. (2020, April). Wearable Wisdom: An Intelligent Audio-Based System for Mediating Wisdom and Advice. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-8).