Papers
6
Total Citations
111
H-Index
5
About
Odelia Tan is a pioneering researcher in human-robot interaction (HRI), with a focus on how people perceive and evaluate social robots across different age groups. Her work centers on methodological innovation, particularly the use of scenario-based evaluations to understand user attitudes, and the role of robot appearance in conveying personality. Tan’s most cited paper, “Methodological Issues in Scenario-Based Evaluation of Human–Robot Interaction” (41 citations), critically examines how different media—text, video, and live interaction—can skew user perceptions, a foundational contribution to HRI study design. She also explores cultural and generational attitudes, notably in “Needs and attitudes of Singaporeans towards home service robots: a multi-generational perspective” (23 citations), which highlights Singapore’s rapidly aging population and the potential for assistive robotics. Her research on personality perception through robot appearance (16 citations) and older adults’ attitudes toward home service robots (13 citations) underscores her commitment to designing robots that are socially acceptable and effective across the lifespan. Tan’s work is essential for researchers developing robots that must interact naturally with diverse users, offering both theoretical insights and practical guidelines for evaluation.
Research Focus
Key Achievements
Top Papers
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- 3Personality of social robots perceived through the appearance16 citations · 2012
- 4Effect of scenario media on human-robot interaction evaluation15 citations · 2012
- 5Older adults' attitudes toward homes service robots13 citations · 2012
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