Aysan Mahmoudi Asl
Papers
7
Total Citations
109
H-Index
5
About
Aysan Mahmoudi Asl is an emerging researcher whose work sits at the intersection of social robotics, dementia care, and assistive technology design. Her scholarship focuses on developing and evaluating socially assistive technologies — particularly social robots — to enhance the well-being, social participation, and quality of life of older adults living with dementia and mild cognitive impairment. Mahmoudi Asl has made notable contributions through her rigorous methodological investigations, most prominently her widely cited 2022 scoping review (42 citations) examining the methodologies used to assess social robots for elderly populations, which has become a key reference point in the field. Her work on the MINI robot has been especially impactful, encompassing usability validation, user experience evaluation, and cross-national implementation studies in the Netherlands and Spain. A distinctive thread running through her research is her emphasis on occupational therapy's role in bridging design and implementation gaps for dementia-focused technologies. With over 100 cumulative citations across a focused and cohesive body of work, Mahmoudi Asl is establishing herself as a thoughtful voice advocating for human-centered, clinically grounded approaches to robotics in eldercare.
Research Focus
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Top Papers
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