Mingming Fan

Hong Kong University of Science and Technology

Papers

4

Total Citations

93

H-Index

3

About

Mingming Fan is a human-computer interaction researcher whose work sits at the intersection of artificial intelligence, assistive technology, and aging. Specializing in how vulnerable and underserved populations engage with emerging technologies, Fan investigates the real-world experiences of older adults and people with visual impairments as they navigate an increasingly AI-driven world. His highly cited 2022 paper on older adults' perceptions and challenges with AI-enabled everyday technologies — garnering 58 citations — has become a foundational reference for researchers designing inclusive AI systems, illuminating the nuanced barriers that aging populations face with tools like conversational agents and smart home devices. Fan's 2023 investigation into guiding robots for blind and low vision users (29 citations) broke new ground by systematically examining how varying levels of robot autonomy and physical form factor affect user trust and navigation outcomes. More recently, his exploratory study on companion robots and Chinese retirees probes the emotional and relational dimensions of human-robot interaction in aging communities. Across his body of work, Fan consistently centers user voice and lived experience, making him a distinctive and empathetic voice in accessibility-focused HCI research.

Research Focus

Key Achievements

3
H-Index
4
Papers
93
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Understanding Older Adults’ Perceptions and Challenges in Using AI-enabled Everyday Technologies
58 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Hong Kong University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago