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.

Hu, S., Yu, Z., Yen, H. C., Zhao, M., Seaborn, K., & Liu, C. (2023). Wizundry: A cooperative wizard of oz platform for simulating future speech-based interfaces with multiple wizards. CSCW, in press. Cite
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 Download
Ueno, T., Sawa, Y., Kim, Y., Urakami, J., Oura, H., & Seaborn, K. (2022). Trust in Human-AI Interaction: Scoping Out Models, Measures, and Methods. CHI Conference on Human Factors in Computing Systems Extended Abstracts, 1–7. https://doi.org/10.1145/3491101.3519772 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, 62304. 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
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
Urakami, J., Kim, Y., Oura, H., & Seaborn, K. (2022). Finding Strategies against Misinformation in Social Media: A Qualitative Study. Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, 1–7. Cite Download
Urakami, J., & Seaborn, K. (2022). Nonverbal cues in human-robot interaction: A communication studies perspective. ACM Transactions on Human-Robot Interaction (THRI). Cite
Seaborn, K., Sekiguchi, T., Tokunaga, S., Miyake, N. P., & Otake-Matsuura, M. (2022). Voice over body? Older adults’ reactions to robot and voice assistant facilitators of group conversation. International Journal of Social Robotics. Cite
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
Seaborn, K., Pennefather, P., & Kotani, H. (2022). Exploring gender-expansive categorization options for robots. Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, 1–6. Cite Download
Seaborn, K. (2022). From identified to self-identifying: Social Identity Theory for socially embodied artificial agents. Proceedings of the HRI 2022 Workshop on Robo-Identity 2. HRI Workshop on Robo-Identity '22, Sapporo, Hokkaido, Japan. Cite Download
Seaborn, K., Urakami, J., & Oura, H. (2021, August 8). Bots Against Bias (BoAB): A seminar on designing robots that enhance human metacognition [Workshop]. 2021 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2021), Vancouver, BC, Canada. Cite
Seaborn, K., Chignell, M., & Gwizdka, J. (2021). Psychological resilience during COVID-19: A meta-review protocol. BMJ Open, 11(6), e051417. https://doi.org/10.1136/bmjopen-2021-051417 Cite Download
Seaborn, K., & Urakami, J. (2021). Measuring voice UX quantitatively: A rapid review. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–8. Cite Download Download
Seaborn, K. (2021). Removing gamification: A research agenda. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–7. Cite Download Download
Seaborn, K., Pennefather, P., Miyake, N., & Otake-Matsuura, M. (2021). Crossing the Tepper line: An emerging ontology for describing the dynamic sociality of embodied AI. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 1–6. Cite Download Download

Previous Work

Here’s a full list of my publications on work before I started this lab, from 2020 stretching back to 2010.

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