AI
Research on Real-world AI that deeply understands people (their psychology and activities), things and society in the physical space, and provides them trustable interventions through effective feedback for the purpose of solving various social issues.
- Real-world AI
- AI for Behavior Change
- Trustworthy AI
News Release&Topics
|
|
|
|
Publications
RCPU: Rotation-Constrained Error Compensation for Structured Pruning of Large Language Models
Shuichiro Haruta, Kazunori Matsumoto, Zhi Li, Yanan Wang, Mori Kurokawa
2026 The Fourteenth International Conference on Learning Representations (ICLR 2026)
April 2026
Dialogue Control and Its Consequences: Grounding, Policy, and User Perception in Persuasive Chatbots
Roberto Legaspi, Donghuo Zeng, Kazushi Ikeda
2026 CHI Conference on Human Factors in Computing Systems (ACM CHI 2026)
April 2026
Learning Audio–Visual Embeddings with Inferred Latent Interaction Graphs
Donghuo Zeng, Hao Niu, Yanan Wang, Masato Taya
The 48th European Conference on Information Retrieval (ECIR 2026)
March 2026
Personality-Aware Reinforcement Learning for Persuasive Dialogue with LLM-Driven Simulation
Donghuo Zeng, Roberto Legaspi, Kazushi Ikeda
The 21st International Conference on Persuasive Technology (Persuasive 2026)
March 2026
Estimating the Perceived Burden of Disaster Preparedness Using Location Data: An Exploratory Study
Mizuki Miura, Zhixiong Chen, Akihiro Kobayashi, Masato Taya, Daisuke Kamisaka
The 21st International Conference on Persuasive Technology (Persuasive 2026)
March 2026
Awards
2021.11.10
18th EAI International Conference on Mobile and Ubiquitous Systems: COmputing, Networking and Servicies (Mobiquitous 2021)「Best Paper Award」
Event Detection and Event-Relevant Tweet Extraction with Human Mobility
Naoto Takeda, Daisuke Kamisaka, Roberto Legaspi, Yutaro Mishima, Atsunori Minamikawa