Yuma Tsuboi

Papers

Total Citations

120

H-Index

About

Yuma Tsuboi is a researcher specializing in human-robot interaction (HRI), affective computing, and socially assistive robotics, with a particular focus on developing systems that enable robots to understand and respond to human emotions in meaningful ways. His most influential work, "A Multimodal Emotional Human–Robot Interaction Architecture for Social Robots Engaged in Bidirectional Communication" (2020), has garnered 112 citations and represents a significant advance in the field, introducing a novel architecture that allows social robots to interpret affective cues and express appropriate emotional behaviors, fostering more natural interactions. Tsuboi's research extends to vulnerable populations, including older adults and individuals with cognitive impairments or social disorders such as dementia and autism. His earlier work on affective voice recognition tailored to elderly users and multimodal affect recognition for assistive robots highlights his commitment to using technology to combat social isolation and improve quality of life. By bridging emotion recognition, assistive technology, and robotics, Tsuboi's contributions lay important groundwork for deploying empathetic, socially intelligent robots in real-world caregiving and support contexts.