Welcome!

Welcome to Interaction Lab. We are actively engaged in interaction research based on information systems and media technologies. We have been developing technologies that affect human behavior and capabilities across media communication, human-computer interaction, social computing, virtual reality, and educational technology to create next-generation social information environment.
Motivated candidates for the graduate school and the research students are welcome regardless of nationality or any other distinction. Feel free to contact the lab director by email.

Latest News

International Journal of Informatics Society 2020

Tomoo Inoue, Kumiko Kawai, Boyu Sun, Kosuke Sasaki, Visual appearance is not always useful: Voice is preferred as a mediating conversational agent to support second language conversation, International Journal of Informatics Society, Vol.12, 2020. (in press)

IPSJ Journal 2021_1

Kosuke Sasaki, Tomoo Inoue, Effects of the notification of native speaker's speech rate on second language conversation, IPSJ Journal, Vol.62, No.1, 2021.1. (in press)

CSCW 2020_1

Ari Nugraha, Izhar Almizan Wahono, Tomoo Inoue, An initial study of online collaborative refinement of student-created questions, Proceedings of the 23rd ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW'20 Companion), pp.359-363, https://doi.org/10.1145/3406865.3418327, 2020.10.

CSCW 2020_2

Takeshi Kamita, Atsuko Matsumoto, Boyu Sun, Tomoo Inoue, Promotion of continuous use of a self-guided mental healthcare system by a chatbot, Proceedings of the 23rd ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW'20 Companion), pp.293-297, https://doi.org/10.1145/3406865.3418343, 2020.10.

Collaboration Technologies and Social Computing 2020_2

Zhen He, Xinwei Dai, Toshihiko Yamakami, Tomoo Inoue, Preliminary utility study of a short video as a daily report in teleworking, Collaboration Technologies and Social Computing, LNCS 12324, pp.35-49, doi>10.1007/978-3-030-58157-2_3, Springer, 2020.9.(Best Paper Award)