Publications

Take a gander at our publications. We aim for a combination of high-impact disciplinary venues and open access publishers. Almost all of our work is made available for the public to read.

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. Cite Download
Kato, J., Koyama, Y., Maejima, A., Mihara, R., & Seaborn, K. (2025). Anime SIG: Researching Japanese Animation From Technical, Cultural, and Industrial Perspectives. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–3. Cite
Seaborn, K., Gray, C. M., Gunawan, J., Mildner, T., Schäfer, R., Sanchez Chamorro, L., & Nakamura, S. (2025). Global and Transdisciplinary Perspectives on Dark Patterns and Deceptive Design Practice: ダークパターンとひとをだますデザインに関する国際的かつ学際的な交流. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–6. Cite
Bohrer, R., Liang, S., Cormier, M. V., Fujii, T., Toups Dugas, P. O., Williams, R. M., Ko, A. J., Seaborn, K., & Haimson, O. L. (2025). Transnational lgbTq+ SIG. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–5. Cite
Mynatt, E. D., Kobayashi, M., Pradhan, A., Mathur, N., Vines, J., Seaborn, K., Buehler, E., Waycott, J., Rudnik, J., Zubatiy, T., & Rozga, A. (2025). Technology Mediated Caregiving For Older Adults Aging in Place. Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 1–7. Cite
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. Cite
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. Cite
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. Cite
Fabre, É., Seaborn, K., Verhulst, A. A., Itoh, Y., & Rekimoto, J. (2024). Juicy text: Onomatopoeia and semantic text effects for juicy player experiences. Proceedings of the 26th International Conference on Multimodal Interaction, 144–153. https://doi.org/10.1145/3678957.3685755 Cite Download
Gessinger, I., Seaborn, K., Steeds, M., & Cowan, B. R. (2024). ChatGPT and me: First-time and experienced users' perceptions of ChatGPT's communicative ability as a dialogue partner. International Journal of Human-Computer Studies, 194, 103400. https://doi.org/10.1016/j.ijhcs.2024.103400 Cite
Seaborn, K., Kotani, H., & Pennefather, P. (2024). From "made in" to mukokuseki: Exploring the visual perception of national identity in robots. ACM Transactions on Human-Robot Interaction. https://doi.org/10.1145/3681782 Cite Download
Seaborn, K., Gessinger, I., Yoshida, S., Cowan, B. R., & Doyle, P. R. (2024). Cross-cultural validation of partner models for voice user interfaces. Proceedings of the 6th ACM Conference on Conversational User Interfaces, 1–10. Cite
Chang, W. J., Seaborn, K., & Adams, A. A. (2024). Theorizing deception: A scoping review of theory in research on dark patterns and deceptive design. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, Article No. 321. https://doi.org/10.1145/3613905.3650997 Cite Download
Seaborn, K., Itagaki, T., Watanabe, M., Wang, Y., Geng, P., Fujii, T., Mandai, Y., Kojima, M., & Yoshida, S. (2024). Deceptive, disruptive, no big deal: Japanese people react to simulated dark commercial patterns. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, Article No. 95. Cite Download
Wang, Y., & Seaborn, K. (2024). Kawaii computing: Scoping out the Japanese notion of cute in user experiences with interactive systems. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, Article No. 210. Cite Download
Li, G. "Rikaku," & Seaborn, K. (2024). No joke: An embodied conversational agent greeting older adults with humour or a smile unrelated to initial acceptance. Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems, Article No. 252. Cite Download
Seaborn, K., & Chang, W. J. (2024, May 12). Another subtle pattern: Examining demographic biases in dark patterns and deceptive design research. Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices Workshop at CHI Conference on Human Factors in Computing Systems. DDP CHI '24, online. Cite
Fujii, T., Seaborn, K., & Steeds, M. (2024). Silver-tongued and sundry: Exploring intersectional pronouns with ChatGPT. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Article No. 511. Cite
Seaborn, K., Iseya, S., Hidaka, S., Kobuki, S., & Chandra, S. (2024). Play across boundaries: Exploring cross-cultural maldaimonic game experiences. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, Article No. 564. Cite Download
Seaborn, K., Urakami, J., Pennefather, P., & Miyake, N. P. (2024). Qualitative approaches to voice UX. ACM Computing Surveys. https://doi.org/10.1145/3658666 Cite Download
Seaborn, K., Sawa, Y., & Watanabe, M. (2024). Coimagining the future of voice assistants with cultural sensitivity. Human Behavior and Emerging Technologies, 2024, e3238737. https://doi.org/10.1155/2024/3238737 Cite Download
Seaborn, K. (2024). Bots against Bias: Critical Next Steps for Human–Robot Interaction. In U. Pagallo, W. Barfield, & Y.-H. Weng (Eds.), The Cambridge Handbook of the Law, Policy, and Regulation for Human–Robot Interaction (pp. 362–390). Cambridge University Press. https://doi.org/10.1017/9781009386708.023 Cite
Morillo-Mendez, L., Tanqueray, L., Stedtler, S., & Seaborn, K. (2023). Interdisciplinary approaches in human-agent interaction. Proceedings of the 11th International Conference on Human-Agent Interaction, 504–506. Cite
Seaborn, K. (2023). Super Synthesis Pros., or why CHI PLAY needs research synthesis. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 235–237. https://doi.org/10.1145/3573382.3616051 Cite Download
Seaborn, K., & Iseya, S. (2023). Meaningful play and malicious delight: Exploring maldaimonic game UX. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 174–180. https://doi.org/10.1145/3573382.3616095 Cite Download
Seaborn, K., Rogers, K., Nam, S., & Kojima, M. (2023). Kawaii game vocalics: A preliminary model. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 202–208. https://doi.org/10.1145/3573382.3616099 Cite Download
Seaborn, K. (2023). Link, user-centred designer: Game characters as transcendent models. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 238–240. https://doi.org/10.1145/3573382.3616052 Cite Download
Torre, I., Lagerstedt, E., Dennler, N., Seaborn, K., Leite, I., & Szekely, E. (2023). Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions? Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 106–112. https://doi.org/10.1109/RO-MAN57019.2023.10309500 Cite Download
Kobuki, S., Seaborn, K., Tokunaga, S., Fukumori, K., Hidaka, S., Tamura, K., Inoue, K., Kawahara, T., & Otake-Matsuura, M. (2023). Robotic backchanneling in online conversation facilitation: A cross-generational study. Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 71–76. https://doi.org/10.1109/RO-MAN57019.2023.10309362 Cite
Hidaka, S., Seaborn, K., Kobuki, S., & Venture, G. (2023, August). Aromanoidics: Towards a framework of robotic scents. 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN ’23). RO-MAN ’23, Busan, Korea. Cite
Sawa, Y., Keckeis, J., & Seaborn, K. (2023). Right for the Job or Opposites Attract? Exploring Cross-Generational User Experiences with "Younger" and "Older" Voice Assistants. Companion Publication of the 2023 ACM Designing Interactive Systems Conference, 160–163. https://doi.org/10.1145/3563703.3596642 Cite Download
Urakami, J., & Seaborn, K. (2023). Nonverbal Cues in Human–Robot Interaction: A Communication Studies Perspective. ACM Transactions on Human-Robot Interaction, 12(2), 1–21. https://doi.org/10.1145/3570169 Cite Download
Hidaka, S., Kobuki, S., Watanabe, M., & Seaborn, K. (2023). Linguistic dead-ends and alphabet soup: Finding dark patterns in Japanese apps. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–13. Cite Download
Seaborn, K., Nam, S., Keckeis, J., & Itagaki, T. (2023). Can voice assistants sound cute? Towards a model of kawaii vocalics. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–7. https://doi.org/10.1145/3544549.3585656 Cite Download
Seaborn, K., Chandra, S., & Fabre, T. (2023). Transcending the "male code": Implicit masculine biases in NLP contexts. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–19. https://doi.org/10.1145/3544548.3581017 Cite Download
Seaborn, K. (2023). Interacting with masculinities: A scoping review. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–12. https://doi.org/10.1145/3544549.3585770 Cite Download
Seaborn, K., & Kim, Y. (2023). "I'm" lost in translation: Pronoun missteps in crowdsourced data sets. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–6. https://doi.org/10.1145/3544549.3585667 Cite Download
Rogers, K., & Seaborn, K. (2023). The systematic review-lution: A manifesto to promote rigour and inclusivity in research synthesis. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–11. https://doi.org/10.1145/3544549.3582733 Cite Download
Ku, B., Itagaki, T., & Seaborn, K. (2023). Dis/immersion in mindfulness meditation with a wandering voice assistant. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–6. https://doi.org/10.1145/3544549.3585627 Cite Download
Ueno, T., Kim, Y., Oura, H., & Seaborn, K. (2023). Trust and reliance in consensus-based explanations from an anti-misinformation agent. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 1–7. https://doi.org/10.1145/3544549.3585713 Cite Download
Hu, S., Yen, H. C., Yu, Z., Zhao, M., Seaborn, K., & Liu, C. (2023). Wizundry: A cooperative Wizard of Oz platform for simulating future speech-based interfaces with multiple Wizards. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW1), 115:1-115:34. https://doi.org/10.1145/3579591 Cite Download
Seaborn, K., Barbareschi, G., & Chandra, S. (2023). Not only WEIRD but "uncanny"? A systematic review of diversity in human-robot interaction research. International Journal of Social Robotics. Cite Download
Seaborn, K., Sekiguchi, T., Tokunaga, S., Miyake, N. P., & Otake-Matsuura, M. (2023). Voice over body? Older adults' reactions to robot and voice assistant facilitators of group conversation. International Journal of Social Robotics, 15(2), 143–163. https://doi.org/10.1007/s12369-022-00925-7 Cite
Kim, Y., Ueno, T., Seaborn, K., Oura, H., Urakami, J., & Sawa, Y. (2023). Exoskeleton for the mind: Exploring strategies against misinformation with a metacognitive agent. Proceedings of the 2023 ACM International Conference on Augmented Humans (AHs). AHs '23, Glasgow, Scotland, UK. Cite Download
Seaborn, K., Henderson, K., Gwizdka, J., & Chignell, M. (2022). A meta-review of psychological resilience during COVID-19. Npj Mental Health Research, 1, Article no. 5. https://doi.org/s44184-022-00005-8 Cite
Seaborn, K., Miyake, N. P., Pennefather, P., & Otake-Matsuura, M. (2022). Voice in human–agent interaction: A survey. ACM Computing Surveys, 54(4), 1–43. https://doi.org/10.1145/3386867 Cite Download
Sawa, Y., & Seaborn, K. (2022). Localizing the Ambivalent Ageism Scale for Japan. The 8th Asian Conference on Aging & Gerontology 2022: Official Conference Proceedings, 33–36. https://doi.org/10.22492/issn.2432-4183.2022.4 Cite Download
Seaborn, K., & Pennefather, P. (2022). Neither "hear" nor "their": Interrogating gender neutrality in robots. Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, 1030–1034. https://doi.org/10.5555/3523760.3523929 Cite Download
Seaborn, K., & Pennefather, P. (2022). Gender neutrality in robots: An open living review framework. Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, 634–638. https://doi.org/10.5555/3523760.3523845 Cite Download
Seaborn, K., & Frank, A. (2022). What pronouns for Pepper? A critical review of gender/ing in research. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 1–15. Cite Download

Previous Work

Here’s a full list of my publications on work before I started this lab, from 2020 stretching back until 2011.

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