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Large Human Models: Building upon our Future You project, which enabled simulated conversations with one’s prospective future self, we are developing sophisticated models that authentically simulate human behavior and cognition. These “digital twin” systems represent a shift toward understanding the complex dynamics of human wellbeing and the nuanced ways humans interact with AI across diverse contexts.

Augmentation Interfaces: Extending our foundational work in AI-enhanced human learning, reasoning, and decision-making, we are designing next-generation interaction paradigms that amplify human capabilities while preserving individual autonomy. Our research examines how AI interfaces and modalities can enhance cognitive performance without compromising human agency or self-determination.

Interpretable Interactions: Leveraging advances in mechanistic interpretability, where researchers explore the relationships between neural activations and emergent model behaviors, we are exploring transparent human-AI interaction frameworks. This research explores how radical transparency in AI systems can simultaneously demystify model operations and empower users to develop sophisticated mental models of AI behavior, fostering more informed and effective human-AI collaboration.

Psychology of Human-AI Interactions: Building on our extensive investigations into the psychological dynamics of human-AI interactions, including how individuals process and respond to false AI explanations, how AI systems can systematically distort personal memories through the implantation of false recollections, and how intimate human-AI relationships profoundly affect emotional dependency and psychological wellbeing, we are mapping the emerging psychological phenomena that surface as AI becomes deeply embedded within human social and cognitive environments. 

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For the most recent publications, please visit Pat’s Google Scholar Profile – Last Update (November 2024)

Op-ed Essays

2024 – MIT Technology Review: We need to prepare for ‘addictive intelligence’: The allure of AI companions is hard to resist. Here’s how innovation in regulation can help protect people by Robert Mahari and Pat Pataranutaporn (August 5, 2024)

2024 – The Wall Street Journal: A 14-Year-Old Boy Killed Himself to Get Closer to a Chatbot. He Thought They Were In Love by Sherry Turkle and Pat Pataranutaporn (November 8, 2024)

Conferences

Pataranutaporn, P., Mano, P., Bhongse-Tong, P., Chongchadklang, T., Archiwaranguprok, C., Hantrakul, L., … & Klunchun, P. (2024, May). 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 (pp. 1-10).

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

Pataranutaporn, P.*, Archiwaranguprok, C.*, Mano, P., Bhongse-tong, P., Maes, P., & Klunchun, P. (2024). Text2Tradition: From Epistemological Tensions to AI-Mediated Cross-Cultural Co-Creation. In NeurIPS Creative AI Track.

Prasongpongchai, T., Pataranutaporn, P., Kanapornchai, C., Lapapirojn, A., Ouppaphan, P., Winson, K., … & Maes, P. (2024, July). Interactive ai-generated virtual instructors enhance learning motivation and engagement in financial education. In International Conference on Artificial Intelligence in Education (pp. 217-225). Cham: Springer Nature Switzerland.

Prasongpongchai, T., Pataranutaporn, P., Lertsutthiwong, M., & Maes, P. (2025). Talk to the Hand: LLM-powered Chatbot with Visual Pointer as Proactive Companion in Financial Planning Task. (Under Review).

Pataranutaporn, P.*, Archiwaranguprok, C.*, Mano, P., Bhongse-tong, P., Maes, P., & Klunchun, P. (2024). Open Dance Lab: Digital Platform for Examining, Experimenting, and Evolving Intangible Cultural Heritage. In Proceedings of the ACM/IEEE Joint Conference on Digital Libraries.

Yin, P.*, Pataranutaporn, P.*, Winson, K.*, Lapapirojn, A., Ouppaphan, P., Lertsutthiwong, M., Prasongpongchai, T., Maes, P., & Hershfield, H. (2024). Autonoetic Intelligence: A Human-AI System for Intertemporal Perspective Taking. In NeurIPS Creative AI Track.

Pataranutaporn, P., Archiwaranguprok, C., Chan, S. W. T., Loftus, E., & Maes, P. (2024). Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection (Under Review).

Liu, A. R., Pataranutaporn, P., Turkle, S., & Maes, P. (2025). Chatbot Companionship: Exploring the Relationship Between Companion Chatbot Usage and Loneliness. (Under Review).

Agarwal, G., Dunnell, K., Pataranutaporn, P., Lippman, A., & Maes, P. (2024). OpenOpenAI and Alternate Altman: Democratizing the Future of AI through Speculative Participatory Media. In NeurIPS Creative AI Track.

Dunnell, K., Agarwal, G., Pataranutaporn, P., Lippman, A., & Maes, P. (2024, May). AI-Generated Media for Exploring Alternate Realities. In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 1-8).

Shekar, S.*, Pataranutaporn, P.*, Sarabu, C., Cecchi, G., Maes, P. (2024). People trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy. In The New England Journal of Medicine AI (NEJM AI).

Leong, J., Pataranutaporn, P., Danry, V., Perteneder, F., Mao, Y., & Maes, P. (2024, May). Putting Things into Context: Generative AI-Enabled Context Personalization for Vocabulary Learning Improves Learning Motivation. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-15).

Pataranutaporn, P.*, Liu, R.*, Finn, E., & Maes, P. (2023). Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness. Nature Machine Intelligence, 1-11.

Danry, V., Pataranutaporn, P., Mao, Y., & Maes, P. (2023, April). 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 (pp. 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 ACM Proceedings of the 28th International Conference on Intelligent User Interfaces (pp. 889-901).

Pataranutaporn, P.*, Leong, J*., Danry, V., Lawson, A. P., Maes, P., & Sra, M. (2022, October). AI-generated virtual instructors based on liked or admired people can improve motivation and foster positive emotions for learning. In 2022 IEEE Frontiers in Education Conference (FIE) (pp. 1-9). IEEE.

Tandon, P., Chandak, S., Pataranutaporn, P., Liu, Y., Mapuranga, A. M., Maes, P., … & Sra, M. (2022). Txt2vid: Ultra-low bitrate compression of talking-head videos via text. IEEE Journal on Selected Areas in Communications, 41(1), 107-118.

Perry, E., Weber, J., Pataranutaporn, P., Volf, V., Gonzalez, L. M., Nejad, S., … & Kong, D. (2022). How to grow (almost) anything: a hybrid distance learning model for global laboratory-based synthetic biology education. Nature Biotechnology, 40(12), 1874-1879.

Danry, V., Leong, J., Pataranutaporn, P., Tandon, P., Liu, Y., Shilkrot, R., … & Sra, M. (2022, April). AI-Generated Characters: putting Deepfakes to Good Use. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-5).

Danry, V., Pataranutaporn, P., Epstein, Z., Groh, M., & Maes, P. (2022). Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making. arXiv preprint arXiv:2210.08960 (Under review at Science Advances).

Pataranutaporn, P., Sumini, V., Yashar, M., Testa, S., Obrist, M., Davidoff, S., … & Maes, P. (2022, April). SpaceCHI 2.0: Advancing Human-Computer Interaction Systems for Space Exploration. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (pp. 1-7).

Danry, V., Pataranutaporn, P., Mueller, F., Maes, P., & Leigh, S. W. (2022, March). On Eliciting a Sense of Self when Integrating with Computers. In Proceedings of the Augmented Humans International Conference 2022 (pp. 68-81).

Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P., & Sra, M. (2021). AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3(12), 1013-1022.

Pataranutaporn, P., Sumini, V., Ekblaw, A., Yashar, M., Häuplik-Meusburger, S., Testa, S., … & Maes, P. (2021, May). SpaceCHI: Designing Human-Computer Interaction Systems for Space Exploration. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-6).

Kim, R., Pataranutaporn, P., Forman, J., Lee, S. A., Riedel-Kruse, I. H., Alistar, M., … & Poslad, S. (2021, May). Microbe-HCI: Introduction and Directions for Growth. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-4).

Pataranutaporn, P., Danry, V., & Maes, P. (2021, May). Machinoia, Machine of Multiple Me: Integrating with Past, Future and Alternative Selves. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7).

Leong, J., Pataranutaporn, P., Mao, Y., Perteneder, F., Hoque, E., Baker, J. M., & Maes, P. (2021, May). Exploring the use of real-time camera filters on embodiment and creativity. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7).

Danry, V., Pataranutaporn, P., Haar Horowitz, A., Strohmeier, P., Andres, J., Patibanda, R., … & Semertzidis, N. (2021, May). Do cyborgs dream of electric limbs? Experiential factors in human-computer integration design and evaluation. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-6).

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). https://doi.org/10.1145/3384657.3384783 🏆 ACM AHs 20′ Best Paper

Danry, V., Pataranutaporn, P., Mao, Y., & Maes, P. (2020, March). Wearable Reasoner: Towards Enhanced Human Rationality Through A Wearable Device With An Explainable AI Assistant. In Proceedings of the Augmented Humans International Conference (pp. 1-12).https://doi.org/10.1145/3384657.3384799

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 (pp. 1-8). https://doi.org/10.1145/3334480.3383092

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. https://doi.org/10.1109/ACIIW.2019.8925077

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

Pataranutaporn, P., Ngamarunchot, B., Chaovavanich, K., Chatwiriyachai, S., Ngamkajornwiwat, P., Ninyawee, N., & Surareungchai, W. (2019, October). Buddha Bot: The Exploration of Embodied Spiritual Machine in Chatbot. In Proceedings of the Future Technologies Conference (pp. 589-595). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-32523-7_42

Ninyawee, N., Thintawornkul, T., Pataranutaporn, P., Ngamarunchot, B., Itthipuripat, S. S., Wilaiprasitporn, T., … & Surareungchai, W. (2019, October). Making Food with the Mind: Integrating Brain-Computer Interface and 3D Food Fabrication. In Proceedings of the Future Technologies Conference (pp. 239-247). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-32520-6_19

Subsoontom, P., Ounjai, P., Naarmkaiornwiwat, P., Sakulkueakulsuk, B., Pensupha, N., Surareungchai, W., & Pataranutapom, P. (2018, December). Hack Biodesign: An Integrative STEAM Education Platform for Biology, Engineering, and Design. In 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (pp. 1016-1021). IEEE https://doi.org/10.1109/TALE.2018.8615404.

Sakulkueakulsuk, B., Witoon, S., Ngarmkajornwiwat, P., Pataranutapom, P., Surareungchai, W., Pataranutaporn, P., & Subsoontorn, P. (2018, December). Kids making AI: Integrating Machine Learning, Gamification, and Social Context in STEM Education. In 2018 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (pp. 1005-1010). IEEE https://doi.org/10.1109/TALE.2018.8615249.

Pataranutaporn, P., & Ngamarunchot, B. (2018, December). Genomix Mask: AI and the complex web of life. In SIGGRAPH Asia 2018 Art Gallery (p. 15). ACM https://doi.org/10.1145/3282805.3282820.

Mihaleva, G., & Pataranutaporn, P. (2018, October). Sense: coral reef inspired and responsive dress. In Proceedings of the 2018 ACM International Symposium on Wearable Computers (pp. 290-294). ACM https://doi.org/10.1145/3267242.3267294.

Pataranutaporn, P., De La Vega, J. S., Chowdhury, A., Ng, A., & Mihaleva, G. (2018, August). Toward Growable Robot: Exploring and Integrating Flexible–Biological Matter with Electronics. In 2018 International Flexible Electronics Technology Conference (IFETC) (pp. 1-4). IEEE https://doi.org/10.1109/IFETC.2018.8584034.

Pataranutaporn, P., & Lyle, K. (2018, July). Toward Human-Magic Interaction: Interfacing Biological, Tangible, and Cultural Technology. In International Conference on Human-Computer Interaction (pp. 213-221). Springer, Cham https://doi.org/10.1007/978-3-319-92285-0_30.

Pataranutaporn, P., Ingalls, T. and Finn, E. (2018) Biological HCI : Towards Integrative Interfaces Between People , Computer , and Biological Materials, in ACM Conference on Human Factors in Computing Systems Conference on Human Factors in Computing Systems. doi: https://doi.org/10.1145/3170427.3188662.

Agurto, C., Pataranutaporn, P., Eyigoz, E. K., Stolovitzky, G., & Cecchi, G. (2018, January). Predictive linguistic markers of suicidality in poets. In 2018 IEEE 12th International Conference on Semantic Computing (ICSC) (pp. 282-285). IEEE https://doi.org/10.1109/ICSC.2018.00051

Suwinyattichaiporn, T., Varghese, S., & Pataranutaporn, P. (2018). An Exploratory Study Examining the Use of Virtual Reality in Intercultural Communication Education. In International Communication Association.

Pataranutaporn, P., Ngamkajornwiwat, P., Unprasert, T., Umnajsasithorn, W., Luksanayeam, S., Loha-Unchit, S., … Jain, S. (2017). Hormone couture: Biopolitics, aesthetics, and technology. In ACM Proceedings – International Symposium on Wearable Computers, ISWC. https://doi.org/10.1145/3123021.3123073

Ngamkajornwiwat, P., Pataranutaporn, P., Ngamarunchot, B., & Suwinyattichaiporn, T. (2017). Understanding the Role of Arts and Humanities in Social Robotics Design : An Experiment for STEAM Enrichment Program in Thailand. In IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Hong Kong, 2017, pp. 457-460. https://doi.org/10.1109/TALE.2017.8252378

Book

2021 – Biennale Architettura 2021: How Will We Live Together?, contributor (Silvana)

2021 – Into the Anthropocosmos A Whole Space Catalog from the MIT Space Exploration Initiative,featuring Wearable Lab Project (MIT Press)

2021 – Multisensory Experiences: Where the Senses Meet Technology by Carlos Velasco and Marianna Obrist, featuring Pat’s Perspective (Oxford)

Journal

Pataranutaporn, P., Powdthavee, N., Archiwaranguprok, C., & Maes, P. (2025). 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.

Shekar, S.*, Pataranutaporn, P.*, Sarabu, C., Cecchi, G., Maes, P. (2024). People trust AI-generated medical responses and view them to be as valid as doctors, despite low accuracy. In The New England Journal of Medicine AI (NEJM AI).

Pataranutaporn, P., Liu, R., Finn, E., & Maes, P. (2023). Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness. Nature Machine Intelligence, 1-11.

Tachapermpon, Y., Muangphrom, P., Pataranutaporn, P., Chaiworn, W., & Surareungchai, W. (2022). Fluorescent carbon dots based phytosensor for indoor formaldehyde pollution monitoring. Plant Nano Biology, 2, 100015.

Pataranutaporn, P., Danry, V., Leong, J., Punpongsanon, P., Novy, D., Maes, P. and Sra, M., 2021. AI-generated characters for supporting personalized learning and well-being. Nature Machine Intelligence, 3(12), pp.1013-1022.

Zhou, C., Liu, Z., Pataranutaporn, P., Vannela, R., Hayes, K. F., & Rittmann, B. E. (2015). Biogenic nano-particulate iron-sulfide produced through sulfate and Fe(iii)-(hydr)oxide reductions was enhanced by pyruvate as the electron donor. RSC Advances, 5(122). https://doi.org/10.1039/c5ra20556e

Patent

Tandon, P., Chandak, S., Pataranutaporn, P., Liu, Y., Mapuranga, A.M., Maes, P., Weissman, T. and Sra, M., Leland Stanford Junior University and Massachusetts Institute of Technology, 2022. Systems and Methods for Performing Video Communication Using Text-Based Compression. U.S. Patent Application 17/808,507.

Bates, J. T., Lee, B. H., McCollum, K., Pataranutaporn, P., & Polur, R. N. (2019). U.S. Patent Application No. 16/358,685.

Thintawornkul, T., Sorawit, P., Chayaphat, N., Pataranutaporn, P., Kuptajit, P., Tantisanghirun, ratchaphak t., & Promnara, K. (2016). The process of 3D printing of starch-based Thai food via materials extrution

Pataranutaporn, P. (2014). Talung App (Copy Right) 306157. Thailand.