Yosuke Fukuchi

Keio University, National Institute of Informatics, Tokyo Metropolitan University

Papers

Total Citations

H-Index

About

Yosuke Fukuchi is a researcher at the intersection of explainable artificial intelligence (XAI), human-robot interaction, and interactive machine learning. His work focuses on making AI systems more transparent and understandable to humans, particularly through autonomous self-explanation and adaptive communication strategies. Fukuchi’s foundational paper, “Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents” (2017), with 29 citations, addresses the critical challenge of helping humans comprehend the behavior of statistical machine learning models—a key barrier to effective human-AI cooperation. He further explores how visual explanations, such as attention heatmaps, influence human trust and acceptance of AI suggestions, as demonstrated in his 2023 experimental study. Most recently, Fukuchi investigates the use of social robots as dynamic interfaces for XAI, aiming to develop adaptive strategies that leverage physical and vocal expressions to enhance human understanding in real-time interactions. His work is notable for bridging technical AI transparency with practical human factors, contributing to more intuitive and trustworthy AI systems.