Shai Givati

Papers

Total Citations

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About

Shai Givati is a leading researcher at the intersection of robotics, human-robot interaction, and assistive technologies for aging populations. Their work focuses on designing and evaluating robotic systems that support older adults in maintaining independence and quality of life through physical and cognitive training. Givati’s most cited paper, “Gymmy”: Designing and Testing a Robot for Physical and Cognitive Training of Older Adults (2021, 40 citations), introduces a novel robotic platform that combines exercise and cognitive stimulation, addressing the growing caregiver shortage. This study demonstrates how socially assistive robots can serve as personalized trainers, promoting active aging. In another key contribution, “Evaluating levels of automation with different feedback modes in an assistive robotic table clearing task for eldercare” (2022, 8 citations), Givati explores how varying automation levels and feedback modalities impact user trust and task performance in domestic care settings. Their research is notable for its human-centered design approach, emphasizing user acceptance and practical deployment. With a growing citation record, Givati’s work is shaping the future of robotic caregiving, offering scalable solutions to support an aging society.