Papers
4
Total Citations
23
H-Index
3
About
K. Mohamed Jasim is a leading researcher at the intersection of robotics, healthcare, and human-robot interaction, with a particular focus on understanding how users perceive and accept autonomous systems in sensitive environments. His most influential work, the development of the healthcare service robot acceptance model (sRAM), integrates the stimulus-organism-response framework to explain how functional, social, emotional, and robotic features shape user intentions—a paper that has already garnered 14 citations since its 2025 publication. Jasim also investigates the psychological barriers to medical robotics, notably exploring patient fear and anxiety toward robot-assisted surgery, and examining how emotions and service experiences influence revisit intentions in luxury hotels employing robotic staff. Earlier in his career, he contributed to fuzzy vision computing for path-following robots, demonstrating a sustained interest in both the technical and experiential dimensions of robotics. By bridging engineering, psychology, and service design, Jasim’s work provides critical insights for deploying robots in contexts where trust and emotional response are paramount.
Research Focus
Key Achievements
Top Papers
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- 3Complex Environment Fuzzy Vision Computing3 citations · 2018
- 4