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Katie Seaborn : Curriculum Vitae

Antle, A. N., Bevans, A., Tanenbaum, T. J., Seaborn, K., & Wang, S. (2011). Futura: Design for collaborative learning and game play on a multi-touch digital tabletop. Proceedings of the 5th International Conference on Tangibles and Embedded Interaction, 93–100. https://doi.org/10.1145/1935701.1935721

Antle, A. N., Tanenbaum, T. J., Tanenbaum, K., Bevans, A., Wang, S., & Seaborn, K. (2011). Balancing act: Enabling public engagement with sustainability issues through a multi-touch tabletop collaborative game. Proceedings of INTERACT’11, Lecture Notes in Computer Science, 6947, 194–211. http://dx.doi.org/10.1007/978-3-642-23771-3_16

Bajko, R., Hodson, J., Seaborn, K., Livingstone, P., & Fels, D. I. (2015). Guilds, die rolls, and leaderboards: Gamification of two undergraduate multimedia and social media courses. Proceedings of the Conference on Information Systems and Computing Education, paper n3460.

Bajko, R., Hodson, J., Seaborn, K., Livingstone, P., & Fels, D. I. (2016). Edugamifying media studies: Student engagement, enjoyment, and interest in two multimedia and social media undergraduate classrooms. Information Systems Education Journal, 14(6), 55–72. http://isedj.org/2016-14

Chandra, S., Seaborn, K., Barbareschi, G., Louie, W.-Y. G., Bagchi, S., Cooper, S., Han, Z., & Tozadore, D. (2026). The RUSH Checklist: A Standardized Framework for Reporting User Studies in Human-Robot Interaction. Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, HRI ’26, 598–607. https://doi.org/10.1145/3757279.3785572

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, CHI EA ’24, Article No. 321. https://doi.org/10.1145/3613905.3650997

De Cet, M., Seaborn, K., Obaid, M., & Torre, I. (2025). Hearing Ambiguity: Exploring Beyond-Gender Impressions of Artificial Ambiguous Voices. Proceedings of the 7th ACM Conference on Conversational User Interfaces, CUI ’25, 1–12. https://doi.org/10.1145/3719160.3736622

Eda, N., Seaborn, K., Matsubara, S., Sakuma, K., Hiyama, A., & Inami, M. (2019). Fostering empathy for computer agents through synchronized movements・運動同期によるエージェントへの共感醸成に関する研究. The 23rd Annual Conference of the Japanese Society for Artificial Intelligence, 1–4. https://doi.org/10.11517/pjsai.JSAI2019.0_2O4J701

Edey, J., Seaborn, K., Branje, C., & Fels, D. I. (2014). Powered to Play: A mixed reality game for people driving powered chairs. Proceedings of the IEEE Games, Entertainment, and Media Conference, 1–8. https://doi.org/10.1109/GEM.2014.7048101

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, CHI EA ’25, 1–10. https://doi.org/10.1145/3706599.3720135

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, ICMI ’24, 144–153. https://doi.org/10.1145/3678957.3685755

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, CHI ’24, Article No. 511. https://doi.org/10.1145/3613904.3642303

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, CHI ’25, 1–18. https://doi.org/10.1145/3706598.3713323

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

Hidaka, S., Kobuki, S., Seaborn, K., & Venture, G. (2023, August 28). Aromanoidics: Towards a framework of robotic scents. Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication. RO-MAN 2023.

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, CHI ’23, 1–13. https://doi.org/10.1145/3544548.3580942

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

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 ’23), 209–220. https://doi.org/10.1145/3582700.3582725

Kobuki, S., Seaborn, K., Tokunaga, S., Fukumori, K., Hidaka, S., Tamura, K., Inoue, K., Kawahara, T., & Otake-Matsuura, M. (2022). Robots using “aizuchi” in online group conversation. Proceedings of the 40th Meeting of the Robotics Society of Japan (RSJ 2022). RJS 2022. https://ac.rsj-web.org/2022/

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

Kojima, M., Seaborn, K., Kinoshita, Y., & Nakamura, S. (2025). ダークパターン・ディセプティブデザインに対する、日本の消費者のソーシャルメディアにおける反応について (Japanese consumer reactions on social media to dark patterns and deceptive design). 第 213回ヒューマンコンピュータインタラクション研究会. 第 213回ヒューマンコンピュータインタラクション研究会. https://www.sighci.jp/events/sig/213

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, CHI EA ’23, 1–6. https://doi.org/10.1145/3544549.3585627

Lee, N., Seaborn, K., Hiyama, A., Inami, M., & Hirose, M. (2018). Evaluating a smartphone-based social participation app for the elderly. Proceedings of Human Aspects of IT for the Aged Population, Lecture Notes in Computer Science, 26, 505–517. https://doi.org/10.1007/978-3-319-92034-4_38

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, CHI EA ’24, Article No. 252. https://doi.org/10.1145/3613905.3650918

Liu, C., Bengler, B., Di Cuia, D., Seaborn, K., Nunes Vilaza, G., Gallacher, S., Capra, L., & Rogers, Y. (2018). Pinsight: A novel way of creating and sharing digital content through “things” in the wild. DIS ’18, 1169–1181. https://doi.org/10.1145/3196709.3196782

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, CHI ’25, 1–19. https://doi.org/10.1145/3706598.3713709

Matsubara, S., Wakisaka, S., Aoyama, K., Seaborn, K., Hiyama, A., & Inami, M. (2020). Perceptual simultaneity and its modulation during EMG-triggered motion induction with electrical muscle stimulation. PLOS ONE, 15(8), e0236497. https://doi.org/10.1371/journal.pone.0236497

Narazani, M., Seaborn, K., Hiyama, A., & Inami, M. (2018). StepSync: Wearable skill transfer system for real-time foot-based interaction. Proceedings of the 23rd Annual Conference of the Virtual Reality Society in Japan. VRSJ 2018.

Obushi, N., Wakisaka, S., Kasahara, S., Seaborn, K., Hiyama, A., & Inami, M. (2019). MagniFinger: Fingertip probe microscope with direct micro movements. Proceedings of the 10th Augmented Human International Conference, Article No. 32. https://doi.org/10.1145/3311823.3311859

Pellkvist, T., Seaborn, K., & Kojima, M. (2026, April 13). Access Over Deception: Fighting Deceptive Patterns through Accessibility. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI ’26. CHI ’26. https://doi.org/10.1145/3772318.3791053

Pennefather, P., Seaborn, K., & Fels, D. I. (2016). Framework Synthesis for Guiding Design of a Personal Record of Eudaimonic Flourishing and Enhanced Resilience (PREFER) for people with complex chronic conditions. Proceedings of the Annual Meeting of the Society for Social Neuroscience 2016, B36.

Pennefather, P., Seaborn, K., & Fels, D. I. (2018). Inclusive systemic design for health system flourishment. In P. Jones & K. Kijima (Eds.), Systemic Design (Vol. 8, pp. 69–85). Springer. https://link.springer.com/chapter/10.1007/978-4-431-55639-8_3

Pennefather, P., Suhanic, W., Seaborn, K., & Fels, D. I. (2016). Eudaimonic flourishment through healthcare system participation in annotating electronic health records. Proceedings of RSD5 Symposium.

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, CHI EA ’23, 1–11. https://doi.org/10.1145/3544549.3582733

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, DIS ’23 Companion, 160–163. https://doi.org/10.1145/3563703.3596642

Sawa, Y., & Seaborn, K. (2022). Localizing the Ambivalent Ageism Scale for Japan. Proceedings of the 8th Asian Conference on Aging & Gerontology, 62304. https://doi.org/10.22492/issn.2432-4183.2022.4

Seaborn, K. (2012). Towards a semiotics of visual texture in touch-based interaction. Proceedings of the 37th Annual Meeting of the Semiotics Society of America, Semiotics and New Media, 1, 43–52. https://doi.org/10.5840/cpsem20124

Seaborn, K. (2016). Evaluating hedonic and eudaimonic motives in human-computer interaction. Proceedings of the 18th International Conference, HCI International 2016, Lecture Notes in Computer Science, 9735, 494–500. https://doi.org/10.1007/978-3-319-40397-7_47

Seaborn, K. (2021). Removing gamification: A research agenda. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, No. 343. https://doi.org/10.1145/3411763.3451695

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 ’22 Companion. https://sites.google.com/view/robo-identity2

Seaborn, K. (2023a). Interacting with masculinities: A scoping review. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA ’23, 1–12. https://doi.org/10.1145/3544549.3585770

Seaborn, K. (2023b). Link, user-centred designer: Game characters as transcendent models. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, CHI PLAY Companion ’23, 238–240. https://doi.org/10.1145/3573382.3616052

Seaborn, K. (2023c). Super Synthesis Pros., or why CHI PLAY needs research synthesis. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, CHI PLAY Companion ’23, 235–237. https://doi.org/10.1145/3573382.3616051

Seaborn, K. (2023d, March 13). Diversity not discussed: Centring overlooked factors of inclusion within human-robot interaction. Proceedings of the HRI 2023 Workshop on Inclusive HRI II. HRI ’23 Companion. https://sites.google.com/view/dei-hri

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

Seaborn, K. (2025a). Insidious by design: Time and deception 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

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., 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., & Antle, A. N. (2010). The Tiresias Effect: Light versus temperature in a tangible user interface. Proceedings of the 28th International Conference Extended Abstracts on Human Factors in Computing Systems, 3427–3432. https://doi.org/10.1145/1753846.1753996

Seaborn, K., & Antle, A. N. (2011a). Designing a wearable vibrotactile feedforward wrist display for novice gameplay. Proceedings of the 10th International Conference on Entertainment Computing, Lecture Notes in Computer Science, 6972, 379–382. https://doi.org/10.1007/978-3-642-24500-8

Seaborn, K., & Antle, A. N. (2011b, May 12). Gauntlet Guide: Designing a wearable vibrotactile feedforward display for novice gameplay. Proceedings of GRAND Annual Conference 2011. GRAND 2011.

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. https://doi.org/10.1007/s12369-023-00968-4

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, CHI ’23, 1–19. https://doi.org/10.1145/3544548.3581017

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. DDP CHI ’24. https://chi2024.darkpatternsresearchandimpact.com/

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

Seaborn, K., Edey, J., Dolinar, G., Whitfield, M., Gardner, P., Branje, C., & Fels, D. I. (2016). Accessible play in everyday spaces: Mixed reality gaming for adult powered chair users. ACM Transactions on Computer-Human Interaction (TOCHI), 23(2), Article 12. https://doi.org/10.1145/2893182

Seaborn, K., & Fels, D. I. (2015). Gamification in theory and action: A survey. International Journal of Human-Computer Studies, 74, 14–31. https://doi.org/10.1016/j.ijhcs.2014.09.006

Seaborn, K., Fels, D. I., Bajko, R., & Hodson, J. (2017). Gamifying the media classroom: Instructor perspectives and the multidimensional impact of gamification on student engagement. International Journal of Game-Based Learning, 7(4), 22–49. https://doi.org/10.4018/IJGBL.2017100102

Seaborn, K., Fels, D. I., & Pennefather, P. (2015a). A cooperative game for older powered chair users and their friends and family. Proceedings of the 7th IEEE Games Entertainment Media Conference, 52–55. https://doi.org/10.1109/GEM.2015.7377242

Seaborn, K., Fels, D. I., & Pennefather, P. (2015b). Eudaimonia in human factors research and practice: Foundations and conceptual framework applied to older adult populations. Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and E-Health, 313–318. https://doi.org/10.5220/0005473003130318

Seaborn, K., Fels, D. I., & Pennefather, P. (2016). “Learn what we’re going through”: Attitudes of older powered chair users towards mixed reality games that involve power mobility. Universal Access in the Information Society, 15(4), 699–711. https://doi.org/10.1007/s10209-015-0450-z

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., & 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, CHI ’22, 1–15. https://doi.org/10.1145/3491102.3501996

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, CUI ’24, 1–10. https://doi.org/10.1145/3640794.3665537

Seaborn, K., Henderson, K., Gwizdka, J., & Chignell, M. (2022). A meta-review of psychological resilience during COVID-19. Npj Mental Health Research, 1(1), 1–9. https://doi.org/10.1038/s44184-022-00005-8

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, CHI PLAY Companion ’23, 174–180. https://doi.org/10.1145/3573382.3616095

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, CHI ’24, Article No. 564. https://doi.org/10.1145/3613904.3642273

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, CHI EA ’24, Article No. 95. https://doi.org/10.1145/3613905.3651099

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, CHI EA ’23, 1–6. https://doi.org/10.1145/3544549.3585667

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

Seaborn, K., Lee, N. “Ikea,” Narazani, M., & Hiyama, A. (2019). Intergenerational shared action games for promoting empathy between Japanese youth and elders. Proceedings of the 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII), 1–7. https://doi.org/10.1109/ACII.2019.8925483

Seaborn, K., Lee, N., Narazani, M., Chien-Hsu, C., Hiyama, A., & Inami, M. (2018). Design and evaluation of a shared action game for empathy. Proceedings of the 23rd Annual Conference of the Virtual Reality Society in Japan. VRSJ 2018. https://doi.org/10.13140/RG.2.2.30336.17922

Seaborn, K., Liang, S., Williams, Rua. M., & Toups Dugas, P. O. (2026, April 13). Radical Gender Neutrality: Agender Euphoria in Gaming and Play Experiences. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI ’26. CHI ’26. https://doi.org/10.1145/3772318.3790659

Seaborn, K., & Mähönen, J. (2018, January 10). Citizen engagement and engaging citizens: Two cases in co-design for the public. UCLIC Research Seminar Series.

Seaborn, K., Mähönen, J., & Rogers, Y. (2020). Scaling up to tackle low levels of urban food waste recycling. Proceedings of the 2020 ACM Designing Interactive Systems Conference, DIS ’20, 1327–1340. https://doi.org/10.1145/3357236.3395524

Seaborn, K., Miyake, N. P., Pennefather, P., & Otake-Matsuura, M. (2021). Voice in human-agent interaction: A survey. ACM Computing Surveys (CSUR), 54(4), 1–43. https://doi.org/10.1145/3386867

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., 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, CHI EA ’23, 1–7. https://doi.org/10.1145/3544549.3585656

Seaborn, K., & Pennefather, P. (2022a). Gender neutrality in robots: An open living review framework. Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, HRI ’22, 634–638. https://doi.org/10.5555/3523760.3523845

Seaborn, K., & Pennefather, P. (2022b). Neither “hear” nor “their”: Interrogating gender neutrality in robots. Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, HRI ’22, 1030–1034. https://doi.org/10.5555/3523760.3523929

Seaborn, K., Pennefather, P., & Fels, D. I. (2013). Reimagining leaderboards: Towards gamifying competency models through social game mechanics. Proceedings of Gamification 2013: Gameful Design, Research, and Applications, 107–110. https://doi.org/10.1145/2583008.2583026

Seaborn, K., Pennefather, P., & Fels, D. I. (2020). Eudaimonia and hedonia in the design and evaluation of a cooperative game for psychosocial well-being. Human–Computer Interaction, 35(4), 289–337. https://doi.org/10.1080/07370024.2018.1555481

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, CHI EA ’22, 1–6. https://doi.org/10.1145/3491101.3519646

Seaborn, K., Pennefather, P., Miyake, N. P., & 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, No. 281. https://doi.org/10.1145/3411763.3451783

Seaborn, K., Riecke, B. E., & Antle, A. N. (2010). Exploring the interplay of visual and haptic modalities in a pattern-matching task. Proceedings of the 9th IEEE International Symposium on Haptic Audio Visual Environments and Games, 61–66. https://doi.org/10.1109/HAVE.2010.5623997

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

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, CHI PLAY Companion ’23, 202–208. https://doi.org/10.1145/3573382.3616099

Seaborn, K., Satoh, Y., & Fels, D. I. (2016). Usability and safety of a head-up display during powered chair navigation: A pilot study. Proceedings of the 10th International Conference on Universal Access in Human-Computer Interaction (UAHCI 2016), HCI International 2016, Lecture Notes in Computer Science, 9739, 628–638. https://doi.org/10.1007/978-3-319-40238-3_60

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

Seaborn, K., Seif El-Nasr, M., Milam, D., & Yung, D. (2012). Programming, PWNed: Using digital game development to enhance learners’ competency and self-efficacy in a high school computing science course. Proceedings of the 43rd ACM Technical Symposium on Computer Science Education, 93–98. https://doi.org/10.1145/2157136.2157169

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, 15, 143–163. https://doi.org/10.1007/s12369-022-00925-7

Seaborn, K., Steeds, M., Torre, I., De Cet, M., Winkle, K., & Göransson, M. (2026, April 13). Operationalizing Perceptions of Agent Gender: Foundations and Guidelines. Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI ’26. CHI ’26. https://doi.org/10.1145/3772318.3790344

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, No. 416. https://doi.org/10.1145/3411763.3451712

Seaborn, K., Urakami, J., Pennefather, P., & Miyake, N. P. (2024). Qualitative approaches to voice UX. ACM Computing Surveys. https://doi.org/10.1145/3658666

Seaborn, K., Watanabe, M., Fabre, É., Riesch, P., Nam, S., Mandai, Y., & Kojima, M. (2026, June). Dreaming with MAKOTO: Co-designing an “older adult” voice assistant intervention for implicit ageism. Proceedings of the 2026 Participatory Design Conference. PDC 2026. https://doi.org/10.1145/3796624.3796648

Seaborn, K., & Williams, R. M. (2025). Levelling Up the Literature: How Games Can Inspire Academic Reporting. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, CHI PLAY Companion ’25, 236–238. https://doi.org/10.1145/3744736.3749331

Seaborn, K., & Yalçın, Ö. N. (2026a). Persona Non Graphica: Visual Representation Biases in Human-Robot Interaction Research. Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, HRI ’26, 216–226. https://doi.org/10.1145/3757279.3785541

Seaborn, K., & Yalçın, Ö. N. (2026b). Robotic Sycophancy: A Scoping Review. Companion Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction, HRI Companion ’26, 938–943. https://doi.org/10.1145/3776734.3794532

Takizawa, R., Verhulst, A., Seaborn, K., Fukuoka, M., Hiyama, A., Kitazaki, M., Inami, M., & Sugimoto, M. (2019a). Exploring perspective dependency in a shared body with virtual supernumerary robotic arms. 2nd International Conference on Artificial Intelligence & Virtual Reality, 25–27. https://doi.org/10.1109/AIVR46125.2019.00014

Takizawa, R., Verhulst, A., Seaborn, K., Fukuoka, M., Hiyama, A., Kitazaki, M., Inami, M., & Sugimoto, M. (2019b). Parasitic Body: Exploring perspective dependency in a shared body with a third arm. 2019 IEEE Conference on Virtual Reality and 3D User Interface, 1175–1176. https://doi.org/10.1109/VR.2019.8798351

Tanenbaum, T. J., Antle, A. N., Seaborn, K., Tanenbaum, K., Bevans, A., & Wang, S. (2010a, June 2). Designing multi-touch tabletops for sustainability. Proceedings of GRAND Annual Conference 2010. GRAND 2010.

Tanenbaum, T. J., Antle, A. N., Seaborn, K., Tanenbaum, K., Bevans, A., & Wang, S. (2010b, June 9). Futura: A case study in the design of an educational multi-touch tabletop game. Proceedings of Games, Learning and Society Conference 6.0. GLS 6.0.

Tokunaga, S., Seaborn, K., Tamura, K., & Otake-Matsuura, M. (2019). Cognitive training for older adults with a dialogue-based, robot-facilitated storytelling system. Proceedings of the 2019 International Conference on Interactive Digital Storytelling, Lecture Notes in Computer Science, 11869, 405–409. https://doi.org/10.1007/978-3-030-33894-7_43

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

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, CHI EA ’23, 1–7. https://doi.org/10.1145/3544549.3585713

Ueno, T., Sawa, Y., Kim, Y., Urakami, J., Oura, H., & Seaborn, K. (2022). Trust in human-AI interaction: Scoping out models, measures, and methods. Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, CHI EA ’22, 1–7. https://doi.org/10.1145/3491101.3519772

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, CHI EA ’22, 1–7. https://doi.org/10.1145/3491101.3519661

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

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, CHI EA ’24, Article No. 210. https://doi.org/10.1145/3613905.3651001

Zhang, G. X., & Seaborn, K. (2025). Deceptively Intimate: The Threat of Romantic Mechanics in Video Games. Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play, CHI PLAY Companion ’25, 222–224. https://doi.org/10.1145/3744736.3749332

Zhang, G. X., Wang, Y., Nakajima, T. L., & Seaborn, K. (2025). First Contact with Dark Patterns and Deceptive Designs in Chinese and Japanese Free-to-Play Mobile Games. Proc. ACM Hum.-Comput. Interact., 9(6), GAMES025:730-GAMES025:755. https://doi.org/10.1145/3748620