Koutaro Kamada
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Koutaro Kamada has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Takaya Yuizono
Japan Advanced Institute of Science and Technology
3 shared publications Takaya Yuizono
Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology
2 shared publications- Tzu-Yang Wang
National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan
2 shared publications - Haruomi Takahashi
Japan Advanced Institute of Science and Technology
1 shared publication Kentaro Takashima
Japan Advanced Institute of Science and Technology
1 shared publication- Masami Takahashi
NTT, Inc
1 shared publication
Latest Publications
- 3 February 2026
- Published by Taylor & Francis in International Journal of Human–Computer Interaction
- Vol. 42 (18) , 1-20
Human Misunderstanding of Stated AI Accuracy: Exploring Over- and Under-Reliance Through the Lens of Prospect Theory
- 3 February 2026
- Published by Taylor & Francis in International Journal of Human–Computer Interaction
- Vol. 42 (18) , 1-20
Human Misunderstanding of Stated AI Accuracy: Exploring Over- and Under-Reliance Through the Lens of Prospect Theory
- Open Access
- 1 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 14, 118063-118084
Fair in Perception, But Not in Practice: Exploring Blue-Collar and White-Collar Workers’ Friction in Digital Transformation Decisions
- 1 January 2026
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 14, 118063-118084
Open AccessFair in Perception, But Not in Practice: Exploring Blue-Collar and White-Collar Workers’ Friction in Digital Transformation Decisions
- 6 June 2025
- Published by Springer Nature
- p. 237-253
Exploring the Effects of User Trust in Generative AI on Decision-Making in Semi-structured Problem
- 6 June 2025
- Published by Springer Nature
- p. 237-253
Exploring the Effects of User Trust in Generative AI on Decision-Making in Semi-structured Problem
- Open Access
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Exploring Mismatches in Self-Others’ Perceptions of Effort in Videoconferencing
- 25 April 2025
- Published by Association for Computing Machinery (ACM)
- p. 1-7
Open AccessExploring Mismatches in Self-Others’ Perceptions of Effort in Videoconferencing
- Open Access
- 1 January 2025
- Published by Institute of Electronics, Information and Communications Engineers (IEICE) in IEICE Transactions on Information and Systems
Simply Incorporating Generative AI into Groups Is Not Enough: Exploring the Effects of Human-AI Collaboration in Groups on Brainstorming
Generative AI (GenAI) is increasingly being integrated into creative work, either as a collaborator or as a replacement for human creators. More previous work has focused on augmenting users' creativity in the context of individual-GenAI collaboration. Humans often engage in group creative works across countless real-world contexts, yet the effects of GenAI on such group creativity remain largely unexplored, an urgent gap that demands immediate research attention. To address this gap as a first step, we conducted an electronic brainstorming experiment with three conditions in a within-subjects design: (A) groups of three participants without GenAI, (B) groups of three participants with GenAI, and (C) individual participants with GenAI (N = 24). In the results, GenAI-assisted group brainstorming significantly reduced the number of human-generated ideas, and did not significantly change the quality compared to brainstorming without GenAI. Plausible explanations for these are that reliance on GenAI is further increased in a group setting, and social loafing is more likely to occur. Therefore, we found that simply incorporating a GenAI agent does not necessarily lead to more effective human-GenAI co-creation in groups. On the other hand, compared to individual use of Gen AI, originality, elaboration, and flexibility improved significantly, so GenAI-assisted group brainstorming may have useful aspects. Based on our findings, we discuss the design implications of the strategy for leveraging GenAI effectively, future ideation methods, and creativity support systems. In particular, we suggest two interventions: 1) interactive idea generation, where humans and GenAI take turns combining and improving each others ideas, or 2) reducing over-reliance on GenAI. Our paper contributes to this domain by investigating the effects of human-GenAI collaboration in groups on brainstorming and providing design implications for more effective co-creation.
- 1 January 2025
- Published by Institute of Electronics, Information and Communications Engineers (IEICE) in IEICE Transactions on Information and Systems
Open AccessSimply Incorporating Generative AI into Groups Is Not Enough: Exploring the Effects of Human-AI Collaboration in Groups on Brainstorming
Generative AI (GenAI) is increasingly being integrated into creative work, either as a collaborator or as a replacement for human creators. More previous work has focused on augmenting users' creativity in the context of individual-GenAI collaboration. Humans often engage in group creative works across countless real-world contexts, yet the effects of GenAI on such group creativity remain largely unexplored, an urgent gap that demands immediate research attention. To address this gap as a first step, we conducted an electronic brainstorming experiment with three conditions in a within-subjects design: (A) groups of three participants without GenAI, (B) groups of three participants with GenAI, and (C) individual participants with GenAI (N = 24). In the results, GenAI-assisted group brainstorming significantly reduced the number of human-generated ideas, and did not significantly change the quality compared to brainstorming without GenAI. Plausible explanations for these are that reliance on GenAI is further increased in a group setting, and social loafing is more likely to occur. Therefore, we found that simply incorporating a GenAI agent does not necessarily lead to more effective human-GenAI co-creation in groups. On the other hand, compared to individual use of Gen AI, originality, elaboration, and flexibility improved significantly, so GenAI-assisted group brainstorming may have useful aspects. Based on our findings, we discuss the design implications of the strategy for leveraging GenAI effectively, future ideation methods, and creativity support systems. In particular, we suggest two interventions: 1) interactive idea generation, where humans and GenAI take turns combining and improving each others ideas, or 2) reducing over-reliance on GenAI. Our paper contributes to this domain by investigating the effects of human-GenAI collaboration in groups on brainstorming and providing design implications for more effective co-creation.