Genta Yoshioka

Shizuoka University

Papers

2

Total Citations

10

H-Index

2

About

Genta Yoshioka is a researcher working at the intersection of human-robot interaction and affective computing, with a particular focus on how humans perceive and interpret emotional states in robotic systems. His work explores a fascinating and underexamined question: can humans meaningfully infer emotions from the movements of even the simplest robotic forms? Through experimental studies grounded in Russell's circumplex model of affect, Yoshioka has demonstrated that people do indeed attribute emotional states to flat, minimally expressive robots moving autonomously across a floor — with spatial positioning playing a notable role in shaping those interpretations. This research challenges assumptions about the complexity required for emotional communication, suggesting that motion alone can serve as a powerful affective signal. His contributions open important doors for the design of socially intuitive robots that need not rely on facial expressions or speech to communicate meaningfully with humans. With a growing citation record across his published work, Yoshioka's investigations offer valuable insights for students and researchers in robotics, cognitive science, and human-computer interaction who are interested in the subtler dimensions of machine-human emotional exchange.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Inferring affective states from observation of a robot's simple movements
7 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Shizuoka University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago