
Photo Credit: Katherine Taylor/TEDx Boston

Pat Pataranutaporn, Ph.D. is an assistant professor, technologist, and researcher at the Massachusetts Institute of Technology (MIT), where he is the founding director of the Cyborg Psychology research group. He also serves as co-director of the MIT Media Lab Advancing Humans with AI (AHA) Research Program.
His research lies at the intersection of AI and human-computer interaction, where he focuses on inventing, investigating, and inspiring next-generation human-AI systems for human flourishing. As founding director of the Cyborg Psychology research group at the MIT Media Lab, he leads a team of interdisciplinary researchers to develop personalized AI systems informed by human psychology and behavioral science, augmenting human capabilities in decision-making, critical thinking, and learning. His group investigates emerging phenomena through empirical studies examining how AI reshapes cognition, emotion, and behavior, from emotional dependence on AI companions and cognitive manipulation to false memory implantation, placebo effects of human-AI interaction, and the co-evolution of human and machine intelligence. Through collaborations with humanists, artists, and filmmakers, Pataranutaporn and his team create speculative artifacts and experiences that inspire critically optimistic futures, envisioning radically pluralistic cyborg cultures that offer nuanced alternatives to dystopian and utopian extremes while honoring diverse cultural values and ways of knowing.
Pataranutaporn’s research contributions have been published in numerous peer-reviewed journals and conferences, such as Nature Machine Intelligence, IEEE, ACM SIGCHI, ACM SIGGRAPH, ACM ISWC, and ACM Augmented Humans. His work has been highlighted by the United Nations AI for Good forum, and has been featuredin MIT Tech Review, the Guardian, New York Times, Washington Post, Forbes, the Atlantic, Scientific American, Wall Street Journal, National Geographic, and more. Pataranutaporn’s work has also been honored as one of TIME’s “Best Inventions of 2023” and was included in Fast Company’s “2023 World Changing Ideas.” Pataranutaporn currently serves on the Steering Committee of the Partnership on AI’s ‘AI and Human Connection’ initiative.
Pataranutaporn has been awarded fellowships and grants by multiple research agencies and corporations, including NASA, OpenAI, and KBTG. He has also collaborated with researchers from both academia and industry, including researchers from Stanford Medicine, Harvard, Mass General Brigham, UCSB, UCLA, UC Irvine, Microsoft Research, OpenAI, NTT Data, and more.
Pat’s projects have been exhibited at the MIT Museum (Massachusetts), Asia Pacific Triennial (Queensland Art Gallery, Australia), The Art Gallery of Western Australia (Australia) MAXXI – National Museum of 21st Century Art (Italy), Bangkok Art Biennale (Thailand), Bangkok City Gallery (Thailand), National Museum of Singapore (Singapore), Essex Peabody Museum (USA), London Design Festival (UK), Transmediale Festival (Germany), National Taiwan Science Education Center (Taiwan), IDEA Museum (Arizona), Mesa Arts Center (Arizona), Autodesk Gallery (California), SIGGRAPH Asia (Tokyo), Ars Electronica (Virtual) and more.
Pataranutaporn co-designed and taught one of the first MIT courses on “Generative AI,” developed to provide students with the essential knowledge and skills required to navigate the frontiers of this emerging field and he co-organized the first workshop on virtual AI humans, attended by over 1600 remotely and over 200 in person in 2021.
Pat also serve as the co-creator and writer for the Netflix sci-fi anthology series “Tomorrow and i” premiered in 2024.
(Updated on October 1, 2025)

2021-2024: PhD Candidate in Media Arts & Sciences, MIT Media Lab, Massachusetts Institute of Technology
School of Architecture + Planning
2018-2020: Master of Media Arts & Sciences, MIT Media Lab, Massachusetts Institute of Technology
School of Architecture + Planning
2013-2017: Bachelor of Science in Biological Sciences, College of Liberal Arts & Sciences, Arizona State University (ASU)
2013-2017: Barrett, the Honors College at Arizona State University (ASU)
2025 – Assistant Professor of Media Arts & Sciences/ Founding Director of the Cyborg Psychology research group
2024 – Current : Co-director of the MIT Media Lab’s Advancing Humans with AI (AHA)
2022 (Summer): Researcher at NASA/SETI/DOE Frontier Development Lab
2018 – Current : Research Assistant & Member of MIT Media Lab Fluid Interfaces Group
2017 (Summer) : Research Intern at IBM Computational Biology Center, NY
2016 (Summer) : Visiting Researcher at Nanyang Technological University, Singapore
2015 – 2016 : Social media chair at ASU Changemaker Central, Arizona State University
2015 – 2016 : Research fellow at Synthesis Center, School of Art, Media + Engineering, Arizona State University
2014 – 2016 : Researcher at Biodesign Insitute, Arizona State University Swette Center for Environmental Biotechnology
My dissertation focuses on understanding the psychological dimensions of human-AI interaction, and on translating these insights into the design of future systems that foster human flourishing. Crucially, it extends beyond the conventional emphasis on enhancing human productivity. Instead, it addresses more profound aspirations, such as how AI may support the development of wisdom, cultivation of wonder, and promotion of well-being—domains. It addresses both timely and enduring themes within Human-Computer Interaction (HCI) by engaging with the emergence of pervasive AI and questioning how it relates to the ageless pursuit of human flourishing. The dissertation systematically addresses these challenges in three parts.

Through rigorous scientific evaluation including large-scale studies and mixed-method approaches, I first investigated how AI design choices influence critical psychological factors like motivation, engagement, and mental models, including a groundbreaking pre-registered study of 310 participants examining how users’ beliefs about AI shape their interactions with large language models, published in Nature Machine Intelligence.

Building on these insights, I then developed and evaluated novel technical implementations supporting three key areas of human development: wisdom cultivation, wonder nurturing, and well-being prioritization. This included “Future You,” a conversational AI system using LLMs and StyleGAN to create personalized future self-interactions that demonstrated significant benefits for anxiety and motivation across 188 participants and reached over 60,000 users globally (published in IEEE Frontiers in Education 2024 and NeurIPS Creative AI 2024), as well as the “Wearable Reasoner” system that achieved 85% accuracy in real-time argument analysis (ACM Augmented Humans 2022) and evolved into an AI Socratic mentor shown to enhance critical thinking capabilities (ACM CHI 2024).
Finally, I developed the “Cyborg Psychology” framework, expanding on Clynes and Kline’s foundational work to establish a new interdisciplinary domain examining complex human-AI system interactions through rigorous empirical methodologies, distinguishing itself by treating AI as a dynamically adaptive influence rather than a static external factor and enabling comprehensive analysis of bidirectional behavioral influences in closed-loop systems.

An Interactive Digital Twin System for Self-Reflection and Personal Growth

Towards Enhanced Human Rationality through a Wearable AI Assistant
↗ Published in ACM Augmented Humans
↗ https://www.media.mit.edu/projects/wearable-reasoner/overview/

AI-generated virtual instructors based on liked or admired people can improve motivation and foster positive emotions for learning
↗ https://www.media.mit.edu/projects/learning-from-virtual-instructors/overview/

AI-generated characters for supporting personalized learning and well-being
↗ Published in Nature Machine Intelligence
↗ https://www.media.mit.edu/projects/Ai-generated-characters/overview/

AI-Generated Characters as Digital Mementos
↗ https://www.media.mit.edu/projects/living-memory/overview/

Integrating with Past, Future and Alternative Selves

Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness
↗ Published in Nature Machine Intelligence
↗ https://www.media.mit.edu/projects/beliefs-about-ai/overview/

Synthetic Human Memories: AI-Edited Images and Videos Can Implant False Memories and Distort Recollection
↗ To appear in CHI 2025
↗ https://www.media.mit.edu/projects/ai-false-memories/overview/

Surname Bias in AI Decisions Reinforces Intergenerational Inequality
↗ https://www.media.mit.edu/projects/algorithmic-inheritance/overview/

AI Systems that Intelligently Frame Explanations as Questions Improve Human Logical Discernment Accuracy over Causal AI explanations
↗ https://www.media.mit.edu/projects/ask-me-don-t-tell-me/overview/

The Effect of Virtual Conversational AI Agents on Sustainable Attitude and Behavior Change

Development and flight-testing of a modular autonomous cultivation system for biological plastics upcycling aboard the International Space Station

A Programmable Bio-digital Organ for On-demand Production of Therapeutics and Biomolecules in Space

Combining Sensing of Biochemical and Digital Markers in a Wearable Device
↗ https://www.media.mit.edu/projects/wearable-lab-on-body/overview/

Evolving Cultural Heritage through Collaborative Choreography with Generative Virtual Characters

Exploring the Humanized Machines and the Machinized Humans
↗ https://www.kawitav.com/machineghost
↗ https://www.media.mit.edu/projects/the-machine-ghost-in-the-human-shell/overview/

Sci-fi Anthology Series that Explore the Intersection of Futuristic Technologies and Southeast Asian Culture
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)
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
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., 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
Mihaleva, G., Pataranutaporn, P., & Ingalls, T. (2017). Generative Membrane. In International Symposium on Electronic Art (ISEA). ISEA.
Pataranutaporn, P., & Ngamarunchot, B. (2017). Reinterpreting 3D Food Printing as Neo-Print Capitalism : Fabrication, Food, and Futures. In Annual Meeting of the Society for Literature, Science, and the Arts. SLSA.
Pataranutaporn, P., & Fazel, V. (2017). Shakespeare and Speculative Biodesign Futures. In Annual Meeting of the Society for Literature, Science, and the Arts. SLSA.
Suwinyattichaiporn, T., & Pataranutaporn, P. (2017). Centralizing Marginality: Teaching Race Issues Through the Use of Virtual Reality. In Western States Communication Association.
Pataranutaporn, P., Valencia, A. V., & Kusumi, K. (2016). Visualizing Biodesign: transforming research through interactive technology. In Humanities, Arts, Science, and Technology Alliance and Collaboratory.
Suwinyattichaiporn, T., & Pataranutaporn, P. (2016). When interactive animation and communication research converge: an innovative presentation and gamification of research findings. In Western States Communication Association.
Mihaleva, G., Pataranutaporn, P., & Ingalls, T. (2016). Wearable Installation and Human Interaction – Generative Membrane. In 3D-Festival BEYOND. Karlsruhe, Germany.
Pataranutaporn, P., & Sukhoom, A. (2010). Isolation of polystyrene foam biodegradable bacteria from contaminated soil. In The 36th National Conference on Science and Technology (p. 69). Bangkok, Thailand.
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)
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
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.
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MicroPET mission – ISS mission/SpaceX: In collaboration with MIT Space Exploration Initiative, SEED, NREL, and Harvard University
MESSE mission – Suborbital Launch with Blue Origin: In collaboration with SPACETH + MuSpace
Wearable Lab mission – Zero Gravity Flight: Supported by MIT Space Exploration Initiative and NASA Translational Research Institute for Space Health


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