Hing Kai Chan
Papers
2
Total Citations
129
H-Index
2
About
Hing Kai Chan is a leading researcher at the intersection of artificial intelligence, service robotics, and operations management. His work is distinguished by a focus on how emerging technologies—particularly service robots and AI—are transforming real-world industries, with a special emphasis on the hospitality sector. Chan’s most impactful contribution is his pioneering research on the acceptance of service robots in hotels, where he developed and empirically tested a novel acceptance model. This work, cited over 108 times, provides critical insights into the psychological and practical factors that determine whether customers and staff embrace robotic assistance, directly informing industry adoption strategies. Beyond hospitality, Chan has advanced the field of multi-robot systems, notably through his work on balanced task allocation. His 2021 paper on clustering methods for multi-robot task allocation addresses the critical challenge of optimizing robot utilization by minimizing travel time differences, a key efficiency driver in logistics and automation. With a growing citation record, Chan’s research is essential reading for scholars and practitioners seeking to understand the human and technical dimensions of deploying intelligent systems in service and operational contexts.
Research Focus
Key Achievements
Top Papers
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