Toyokazu Abe
Papers
2
Total Citations
17
H-Index
2
About
Toyokazu Abe is a researcher in human-robot interaction, with a focus on developing intuitive multimodal command languages for home robots. His most notable contribution is the creation of RUNA, a multimodal command language that integrates speech, gestures, and touch inputs to enable more natural and efficient communication between users and domestic robots. In his seminal 2009 paper, "RUNA: a multimodal command language for home robot users," Abe demonstrated how combining multiple input modalities can significantly improve user experience and task completion rates, laying foundational groundwork for accessible home robotics. This work has garnered 15 citations, reflecting its influence on subsequent studies in multimodal interaction design. Abe further explored the effectiveness of this approach in his 2009 follow-up, "Success rates in a multimodal command language for home robot users," which provided empirical evidence of higher success rates compared to unimodal interfaces. While his citation counts are modest, his research is pioneering in addressing the practical challenges of everyday robot use, offering valuable insights for engineers and designers working to make home robots more user-friendly and responsive to diverse user needs.
Research Focus
Key Achievements
Top Papers
- 1RUNA: a multimodal command language for home robot users15 citations · 2009
- 2Success rates in a multimodal command language for home robot users2 citations · 2009