Akira Ito
Papers
11
Total Citations
216
H-Index
6
About
Akira Ito is a pioneering researcher in human-robot interaction, specializing in how robots can communicate emotions, intentions, and even deception through non-verbal behavior. His work explores the psychological mechanisms that allow humans to attribute mental states to machines, bridging robotics with cognitive science. Ito's most influential paper (98 citations) introduces a novel method for robots to express 24 distinct emotions by dynamically changing body color luminosity, using hue, blinking frequency, and waveform parameters. His foundational 2007 study (53 citations) demonstrates that non-humanoid robots' reactive movements trigger intention attribution in humans via theory of mind. Ito's provocative research on robot deception (19 citations) shows that when robots act against human predictions, people perceive them as intentional entities capable of deceit—a key milestone in human-robot trust studies. He also investigated eye-contact dynamics through the "Niramekko" staring game and attention-sharing for language acquisition. By systematically probing how humans anthropomorphize machines, Ito has established critical frameworks for designing socially intelligent robots that feel more lifelike and trustworthy.
Research Focus
Key Achievements
Top Papers
- 1Artificial emotion expression for a robot by dynamic color change98 citations · 2012
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- 3Can a robot deceive humans19 citations · 2010
- 4Towards language acquisition by an attention-sharing robot11 citations · 1998
- 5Can a robot deceive humans?8 citations · 2010
- 6An approach to the eye contact through the outstaring game niramekko7 citations · 2003
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- 10The Importance of Human Stance in Reading Machine’s Mind (Intention)3 citations · 2007