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Tatsuya Itagaki

  • by aspire
  • April 8, 2023April 11, 2023
Tatsuya Itagaki

Tatsuya Itagaki

Master’s Student (FY23)

板垣達也

修士課程 (FY23)

Engineering Sciences and Design (ESD) Program

Thursday May 11th, 2023

Press release: ITmedia News

ITmedia News via Seamless @shiropen has released an article on our research about dark patterns and deceptive designs in Japan, based on our CHI '23 paper. ITmedia News (作家：Seamless @shiropen) が、CHI'23論文に基づく、日本におけるダークパターンや欺瞞的なデザインに関する研究についての記事を公開しました。

Thursday May 11th, 2023

Publications at CHI '23

We published two full papers, five short papers, and an alt.CHI paper at CHI '23にて、フルペーパー2本、ショートペーパー5本、alt.CHI論文を発表しました: Transcending the "Male Code", Linguistic Dead-Ends and Alphabet Soup, Can Voice Assistants Sound Cute?, Dis/Immersion in Mindfulness Meditation, "I'm" Lost in Translation, Interacting with Masculinities, Trust and Reliance in ELEMI, & The Systematic Review-lution.

Tuesday April 18th, 2023

Publication at CSCW '23

Our collaboration on the Wizundry project with City University of Hong Kong is now published at the 2023 ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW '23). Read it for free! 香港城市大学とのWizundryプロジェクトでの共同研究が、CSCW '23に掲載されました。無料でお読みいただけます！

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Latest Publication

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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. https://doi.org/10.1145/3544548.3580942 Cite Download Download 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. (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
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
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. https://doi.org/10.1007/s12369-023-00968-4 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 Download
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. https://doi.org/10.1145/3582700.3582725 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 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
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
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. https://doi.org/10.1145/3491102.3501996 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. https://doi.org/10.1145/3491101.3519646 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. (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. https://sites.google.com/view/robo-identity2 Cite 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. Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, 1–7. https://doi.org/10.1145/3491101.3519772 Cite Download Download
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, Tokyo, Japan. https://ac.rsj-web.org/2022/ 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. https://doi.org/10.1145/3491101.3519661 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. https://aspirelab.io/boab2021/ 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., 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. https://doi.org/10.1145/3411763.3451783 Cite Download 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. https://doi.org/10.1145/3411763.3451712 Cite Download 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. https://doi.org/10.1145/3411763.3451695 Cite Download Download

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