Interaction Research Group

Research Index




Journal Papers

  1. Hiroaki Sugiyama, Kenji Nakamura (2022). Temporary improvement of cognitive and behavioral scales for Dementia elderly by Shiritori word game with a dialogue robot: A pilot study. Frontiers in Robotics and AI, Volume 9.
  2. Jamieson, J., McEwen, R., & Yamashita, N. (2022). Bridging the Open Web and APIs: Alternative Social Media Alongside the Corporate Web. Social Media + Society.

Conference Papers

  1. Hiroaki Sugiyama, Masahiro Mizukami, Tsunehiro Arimoto, Hiromi Narimatsu, Yuya Chiba, Hideharu Nakajima, Toyomi Meguro (2022). Empirical Analysis of Training Strategies of Transformer-Based Japanese Chit-Chat Systems. 2022 IEEE Spoken Language Technology Workshop (SLT), Doha, Qatar, 2023, pp. 685-691, doi: 10.1109/SLT54892.2023.10022973.
  2. Yi-Chieh Lee, Yichao Cui, Jack Jamieson, Wayne Fu, Naomi Yamashita (2023). Exploring Effects of Chatbot-based Social Contact on Reducing Mental Illness Stigma” Proceedings of ACM Conference on Human Factors in Computing Systems (CHI’23).
  3. Chi-Lan Yang, Shigeo Yoshida, Hideaki Kuzuoka, Takuji Narumi, Naomi Yamashita(2023). Affective Profile Pictures: Exploring the Effects of Changing Facial Expressions in Profile Pictures on Text-Based Communication” Proceedings of ACM Conference on Human Factors in Computing Systems (CHI’23).
  4. Wataru Akahori, Naomi Yamashita, Jack Jamieson, Momoko Nakatani, Ryo Hashimoto, Masahiro Watanabe(2023). Impacts of the Strength and Conformity of Social Norms on Well-Being: A Mixed-Method Study Among Hybrid Workers in Japan” Proceedings of ACM Conference on Human Factors in Computing Systems (CHI’23).
  5. Jack Jamieson, Eureka Foong, Naomi Yamashita (2022)“Maintaining Values: Navigating perspectives of diverse stakeholders in open source development” CSCW 2022. Proceedings of the ACM: Human Computer Interaction (PACM HCI).
  6. Eureka Foong, Jack Jamieson, Hideaki Kuzuoka, Naomi Yamashita, Tomoki Nishida(2023). EaseOut: A Cross-Cultural Study of the Impact of a Conversation Agent on Leaving Video Meetings Early. Human-Computer Interaction-INTERACT 2023: 19th IFIP TC 13 International Conference (INTERACT’23). to appear
  7. Jamieson, J., Epstein, D. A., Chen, Y., & Yamashita, N. (2022). Unpacking Intention and Behavior: Explaining Contact Tracing App Adoption and Hesitancy in the United States. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems.


Journal Papers

Conference Papers

  1. Jamieson, J., Yamashita, N., Epstein, D., & Chen, Y. (2021). Deciding If and How to Use a COVID-19 Contact Tracing App: Influences of Social Factors on Individual Use in Japan. Proceedings of the ACM on Human-Computer Interaction, 5(CSCW2), 481:1-481:30.
  2. Mitsuda, K., Higashinaka, R., Sugiyama, H., Mizukami, M., Kinebuchi, T., Nakamura, R., Adachi, N., & Kawabata, H. (2021) Fine-tuning a pre-trained Transformer-based encoder-decoder model with user-generated question-answer pairs to realize character-like chatbots, IWSDS.
  3. Narimatsu, H., Koyama, K., Dohsaka, K., Higashinaka, R., Minami, Y., & Taira, H. (2021). Task Definition and Integration For Scientific-Document Writing Support. Proc. of the Second Workshop on Scholarly Document Processing @ NAACL2021, pp.18-26.
  4. Yahagi, R., Chiba, Y., Nose, T., & Ito, A. (2021). Multimodal dialogue response timing estimation using dialogue context encoder. IWSDS.
  5. Guo, A., Ohashi, A., Hirai, R., Chiba, Y., Tsunomori, Y., & Higashinaka, R. (2021) Influence of user personality on dialogue task performance: A case study using a rule-based dialogue system. 3rd Workshop on NLP for Conversational AI.
  6. Chiba, Y., & Higashinaka, R. (2021). Variation across everyday conversations: Factor analysis of conversations using semantic categories of functional expressions. PACLIC.
  7. Chiba, Y., Yamazaki, Y., & Ito, A. (2021). Speaker intimacy in chat-talks: Analysis and recognition based on verbal and non-verbal information. SemDial, pp. 1-10.
  8. Chiba, Y., & Higashinaka, R. (2021). Dialogue situation recognition for everyday conversation using multimodal information. INTERSPEECH, pp. 241-245.
  9. Yamazaki, Y., Chiba, Y., Nose, T., & Ito, A. (2021). Neural spoken-response generation using prosodic and linguistic context for conversational systems. INTERSPEECH, pp. 246-250.

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