Haodan Tan
Papers
8
Total Citations
133
H-Index
6
About
Haodan Tan is a researcher whose work sits at the intersection of human-robot interaction, assistive technology, and social robotics. Her research explores how people perceive and interact with robotic systems, with a particular focus on anthropomorphism, cultural factors, and the design of lifelike interactive objects. Tan’s most cited paper, “That robot is not for me: Addressing stereotypes of aging in assistive robot design” (45 citations), critically examines how older adults interpret robotic technologies, challenging design assumptions and advocating for more inclusive, stereotype-free assistive robots. She has also made significant contributions to human-drone interaction, developing frameworks for gesture forecasting and social drone applications, as seen in her 2018 work (24 citations). Her research on multi-level evaluations of robot anthropomorphism (23 citations) provides a nuanced understanding of how cultural factors shape human perceptions of robots. Tan’s notable achievements include investigating empathy’s role in promoting pro-environmental behavior through robotic recycling bins (13 citations) and pioneering brain-computer interface integration with robotics in her “DeepBrain” project (2022). Her PhD research on designing lifelikeness in interactive and robotic objects forms the theoretical backbone of her work, which has accumulated over 130 citations and continues to influence the design of more responsive, socially-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human-Drone Interaction24 citations · 2018
- 3
- 4
- 5Forecasting Hand Gestures for Human-Drone Interaction12 citations · 2018
- 6DeepBrain9 citations · 2022
- 7Raven4 citations · 2017
- 8Designing Lifelikeness in Interactive and Robotic Objects3 citations · 2017