Papers
7
Total Citations
50
H-Index
3
About
Kenji Mase is a pioneering researcher in human-robot interaction and assistive communication technologies. His work centers on developing intelligent robotic systems that bridge communication gaps, particularly for elderly and disabled individuals. Mase’s most influential contribution is the concept of “reciprocal attentive communication,” demonstrated in his highly cited 2007 paper (32 citations), where he introduced a humanoid robot avatar to overcome the limitations of traditional video conferencing by enabling tangible, reciprocal attention in remote meetings. He further advanced this field by creating robot-assisted videophone systems that coordinate active listening behaviors with media controls to compensate for users’ uncongenial attitudes, facilitating comfortable conversations for those with disabilities. Mase also developed methods to estimate user conversational states—such as concentration levels—by analyzing combinations of user actions and feature normalization, enabling more responsive robotic intermediaries. Beyond communication, his work extends to skill evaluation in manufacturing, where he designed wearable hybrid sensors to assess metal filing expertise. Through these innovations, Mase has established himself as a key figure in making remote communication more accessible, natural, and effective for diverse populations.
Research Focus
Key Achievements
Top Papers
- 1Reciprocal attentive communication in remote meeting with a humanoid robot32 citations · 2007
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- 6Experience-Sharing System Using Ubiquitous Sensing Environments2 citations · 2005
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