Research

Projects

Below are my research projects at Tokyo Tech. For my previous research, please see my personal website.

Voice Against Bias

Independent

Voice Against Bias

We will explore the use of "elder" voice assistants as a novel method of reducing negative cognitive biases like implicit ageism. Cognitive biases are natural functions of the human mind that are influenced by the external world in positive and negative ways. Through co-design methodologies, intergenerational user studies, and long-term "in the wild" evaluations, we will examine whether voice assistants with older adult voices can shift biases in prosocial directions.

暗黙のエイジズムのような否定的な認知バイアスを軽減するための新しい方法として、「年長者」の音声アシスタントの使用の研究。認知バイアスとは、人間の心が持つ自然な機能であり、外界の影響を受けてポジティブにもネガティブにも変化するもの。共同デザイン手法、世代間のユーザー研究、および長期的な「イン・ザ・ワイルド」評価を通じて、高齢者の声を持つ音声アシスタントが偏見を向社会的な方向にシフトできるかどうかを検証する。

April 2021 to March 2024

Funding: Japan Society for the Promotion of Science (JSPS)

Collaboration

Project Elemi

Our goal is to create and study Elemi, an “exoskeleton for the mind.” Elemi will be an AI-based intelligent support system designed to augment metacognition in everyday situations. Built with and for the public, it aims to help people with a range of everyday challenges in the information age.

本プロジェクトの目標は,心の外骨格「エレミ」を開発し研究することである。エレミは,日常的な状況におけるメタ認知を増強するためのAIベースの知的支援システムである。情報社会における日常の課題について人々を支援することがねらいである。

September 2020+

Prof. Jacqueline Urakami (Tokyo Tech)
Prof. Hiroki Oura (Tokyo Tech)
Dr. Yeongdae Kim (Project Researcher)

Funding: DLab Challenge Grant 2020

Project Elemi

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.

Sawa, Y., & Seaborn, K. (2022). Localizing the Ambivalent Ageism Scale for Japan. Proceedings of the 8th Asian Conference on Aging & Gerontology, 62304. Cite
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. 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
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. Cite Download
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
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., Henderson, K., Gwizdka, J., & Chignell, M. (2022). A meta-review of psychological resilience during COVID-19. Npj Mental Health Research, in press. Cite
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
Seaborn, K., Miyake, N. P., Pennefather, P., & Otake-Matsuura, M. (2021). Voice in human-agent interaction: A survey. ACM Computing Surveys, 54(4), 81:1–81:43. 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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