Takuto Akiyoshi
Papers
5
Total Citations
42
H-Index
3
About
Takuto Akiyoshi is a pioneering researcher in human-robot interaction, with a focus on social robots for mental health support and emotionally intelligent communication. His work centers on developing robots that can engage in therapeutic conversations, using techniques like the column method for cognitive restructuring—a tool adapted from psychiatric day care to help patients think more flexibly. Akiyoshi’s most cited paper, “A Robot That Encourages Self-Disclosure to Reduce Anger Mood” (2021, 33 citations), demonstrates how robot-led dialogue can positively shift moods by encouraging users to open up about their problems. He has also explored the role of physical touch in robotics, modeling intra-hug gestures for huggable robots to enhance emotional bonding. More recently, Akiyoshi has investigated lifelike behaviors, such as an egg-laying robot that boosts mind perception in children and parents, and “Semantic Babbling,” an interactive baby robot system using large language models to ensure emotional consistency in interactions with older adults. His innovative, interdisciplinary approach—bridging psychology, robotics, and AI—positions him as a rising leader in socially assistive robotics, with growing impact in both academic and applied mental health contexts.
Research Focus
Key Achievements
Top Papers
- 1A Robot That Encourages Self-Disclosure to Reduce Anger Mood33 citations · 2021
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- 4Egg-Laying Robot to Enhance Mind Perception of Children and Parents1 citations · 2024
- 5