Mohammad Shayganfar

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About

Mohammad Shayganfar is a researcher at the intersection of human-robot interaction and affective computing, with a focus on designing socially assistive robots for vulnerable populations. His key contributions center on two fronts: developing systematic methodologies for expressive robot faces and creating robotic companions to combat social isolation in older adults. His most cited work, "A design methodology for expressing emotion on robot faces" (2012, 29 citations), provides a groundbreaking framework grounded in psychological literature for designing emotional facial expressions on humanoid robots with limited degrees of freedom—enabling more natural and empathetic human-robot communication. Building on this, his 2015 paper "A Robotic Companion for Social Support of Isolated Older Adults" (19 citations) demonstrates a relational robot agent capable of engaging users in activities like card games, calendar management, and conversations about family, effectively addressing loneliness. Shayganfar’s research has practical implications for aging populations, blending engineering rigor with psychological insight to create robots that are not just functional but emotionally supportive. His work represents a meaningful step toward deploying socially intelligent robots in real-world care settings.