Amir Talaei‐Khoei
Papers
3
Total Citations
21
H-Index
3
About
Amir Talaei-Khoei is a researcher whose work sits at the intersection of assistive technology, human-robot interaction, and healthcare informatics. His research has made meaningful contributions to understanding how vulnerable populations — particularly elderly individuals and children with autism — engage with and benefit from robotic technologies in care settings. Among his most recognized contributions is his exploration of the factors shaping seniors' adoption of assistive robots. Drawing on the Capability Approach, his 2015 work introduced the concept of perceived transfer effects, arguing that independent living is a central motivator in technology adoption among older adults — a perspective that challenged conventional adoption frameworks for lacking contextual sensitivity. This was complemented by a 2016 systematic review cataloguing the key barriers seniors face when engaging with robotic technologies, offering the field a structured synthesis of existing literature. Talaei-Khoei has also investigated the use of lean robotic communication — robots with no facial expressions — as a tool for building structured social interactions with autistic children, addressing a gap in inconclusive findings around social robotics in autism therapy. Though his citation counts remain modest, his interdisciplinary approach bridges technology design and human-centered care, offering valuable frameworks for researchers and practitioners in health informatics and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Challenges in Seniors Adopting Assistive Robots: A Systematic Review8 citations · 2016
- 3