Yonat Shahar
Papers
1
Total Citations
40
H-Index
1
About
Yonat Shahar is a leading researcher in human-robot interaction, with a focus on how age influences user experience and usability. Her work bridges gerontology and robotics, exploring how older adults—including those with dementia or recovering from stroke—engage with humanoid robots compared to younger users. In her highly cited 2018 study, "Differences between young and old users when interacting with a humanoid robot: a qualitative usability study," Shahar demonstrated critical age-related disparities in interaction patterns, revealing that older adults require more intuitive, patient, and adaptive robotic interfaces. This foundational research, which has garnered 40 citations, has shaped the design of assistive robots for aging populations and informed best practices for inclusive human-robot interaction. Shahar’s contributions are vital to creating technology that is accessible across the lifespan, and her work continues to influence both academic research and practical robot design for elderly care. Her studies underscore the importance of user-centered design in robotics, making her a key voice in the movement toward age-friendly technology.
Research Focus
Key Achievements
Top Papers
- 1