Dr Katie Seaborn

简介

Katie Seaborn is an Associate Professor of Human-Computer Interaction and Critical Computing in the Department of Computer Science and Technology (CST) at the University of Cambridge. They are also an Associate Fellow in the Centre for Human Inspired Artificial Intelligence (CHIA) and Visiting University Associate Professor at Institute of Science Tokyo (formerly: Tokyo Institute of Technology). They are Director of the Aspirational Computing Lab (established April 2020). They received their Ph.D. in Mechanical and Industrial Engineering from the University of Toronto (2016) with a Major in Human Factors and a Collaborative Specialization in Knowledge Media Design. They also hold B.A. and M.Sc. degrees from the School of Interactive Arts and Technology (SIAT) at Simon Fraser University.

代表成果

• Seaborn, K. (2026). Amend copyright licences to halt AI misuse and reassert human control. Nature, 656, 1070. https://doi.org/10.1038/d41586-026-02633-y
• Seaborn, K. (2025b). Social Identity in Human-Agent Interaction: A Primer. ACM Transactions on Human-Robot Interaction. https://doi.org/10.1145/3760500
• Seaborn, K. (2025a). Insidious by design: Time and decepion in human-LLM interactions. In R. Gellart, H. Schraffenberger, & C. Santos (Eds.), Dark Patterns and Manipulative Design: Conceptualising and Systematising a Key Contemporary Phenomenon from a Legal Perspective and Beyond. Edward Elgar. https://darkpatterns.online
• Fabre, É., Seaborn, K., Koiwai, S., Watanabe, M., & Riesch, P. (2025). More-than-Human Storytelling: Designing Longitudinal Narrative Engagements with Generative AI. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–10. https://doi.org/10.1145/3706599.3720135
• Fujii, T., Seaborn, K., Steeds, M., & Kato, J. (2025). Inter(sectional) Alia(s): Ambiguity in Voice Agent Identity via Intersectional Japanese Self-Referents. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–18. https://doi.org/10.1145/3706598.3713323
• Mandai, Y., Seaborn, K., Nakano, T., Sun, X., Wang, Y., & Kato, J. (2025). Super Kawaii Vocalics: Amplifying the “Cute” Factor in Computer Voice. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 1–19. https://doi.org/10.1145/3706598.3713709
• Seaborn, K., Altmeyer, M., Li, G. “Rikaku,” Ku, B., Kobuki, S., & Urakami, J. (2025). The Voice Experience Inventory (VOXI): Validating a consensus-driven instrument for measuring user impressions of computer voice. International Journal of Human-Computer Studies, 203, 103576. https://doi.org/10.1016/j.ijhcs.2025.103576
• Seaborn, K., Fosch-Villaronga, E., Fedosov, A., & Li, G. R. (2025). My Body, My Exoskeleton: Co-Designing Intersectional Visions of Robotic Augmentations through Drawings. International Journal of Social Robotics. https://doi.org/10.1007/s12369-025-01252-3
• Seaborn, K., & Nakamura, S. (2025). Quality and representativeness of research online with Yahoo! Crowdsourcing. Frontiers in Psychology, 16. https://doi.org/10.3389/fpsyg.2025.1588579
• Seaborn, K., Rogers, K., Altmeyer, M., Watanabe, M., Sawa, Y., Nam, S., Itagaki, T., & Li, G. ‘Rikaku.’ (2025). Unboxing Manipulation Checks for Voice UX. Interacting with Computers, iwae062. https://doi.org/10.1093/iwc/iwae062