Hiroshi Dohi
Papers
6
Total Citations
76
H-Index
6
About
Hiroshi Dohi is a pioneering researcher in human-robot interaction, specializing in multimodal presentation systems for humanoid robots. His major contribution lies in developing the Multimodal Presentation Markup Language (MPML) and its humanoid robot extension, MPML-HR, which enables non-experts to script complex, speech-based presentations for robots. Dohi’s work bridges virtual agents and physical robots, demonstrating that humanoid robots can deliver engaging, interactive presentations in real-world settings—a key step toward making robots accessible as communication tools. His most-cited paper, "Humanoid robot presentation controlled by multimodal presentation markup language MPML" (2005, 20 citations), established the framework for combining animated character scripts with bipedal robots. Subsequent studies, such as "Comparison of a Humanoid Robot and an On-Screen Agent as Presenters to Audiences" (2006, 12 citations), provided psychological evaluations showing that robots can outperform on-screen agents in audience engagement. Dohi’s work has accumulated over 75 citations, with notable achievements including the development of MPML-HR ver. 3.0, which introduced interactive audience-robot dialogue. His research remains foundational for anyone exploring how markup languages can democratize robot programming for education, retail, and public speaking applications.
Research Focus
Key Achievements
Top Papers
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- 4A markup language for describing interactive humanoid robot presentations11 citations · 2007
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