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About

Jeffrey Kaye is a leading researcher at the intersection of gerontechnology, human-robot interaction, and the ethics of artificial intelligence. His work focuses on how emerging technologies—particularly companion and telepresence robots—can support the independence and well-being of older adults. Kaye’s most cited study, “Reactions to a Remote-Controlled Video-Communication Robot in Seniors' Homes” (2012, 71 citations), was a pioneering feasibility trial demonstrating that tele-operated robots could enhance social connection and remote caregiving. He has since become a key voice on the ethical dimensions of AI companionship. His 2023 paper, “Companion robots to mitigate loneliness among older adults: Perceptions of benefit and possible deception” (62 citations), critically examines the tension between the potential benefits of artificial companions and the risks of user deception. More recently, Kaye has advanced policy discussions around data privacy, as seen in “AI Companion Robot Data Sharing: Preferences of an Online Cohort and Policy Implications” (11 citations), which highlights the urgent need to include older adults’ perspectives in AI governance. Through rigorous empirical studies and ethical analysis, Kaye is shaping how we design, deploy, and regulate socially assistive robots for an aging population.