Te‐Mei Wang
Papers
2
Total Citations
162
H-Index
2
About
Te‑Mei Wang is a leading researcher in human‑robot interaction and gerontechnology, whose work illuminates how older adults perceive, accept, and engage with assistive robots. Her mixed‑methods study “Identifying Features that Enhance Older Adults’ Acceptance of Robots” (87 citations) applies socioemotional selectivity theory to pinpoint design features—such as simplicity, warmth, and reliability—that boost acceptance among seniors, offering actionable guidance for robot developers. In a complementary investigation, “Age Difference in Perceived Ease of Use, Curiosity, and Implicit Negative Attitude toward Robots” (75 citations), she reveals that older adults exhibit stronger implicit negative attitudes toward robots than younger users, even after direct interaction, and that curiosity and perceived ease of use are key mediators of acceptance. Together, these highly cited works have shaped how the field understands age‑related differences in technology adoption, moving beyond explicit self‑reports to uncover subconscious biases. Wang’s research has profound implications for designing socially assistive robots that are truly inclusive, ensuring that aging populations can benefit from robotic companionship and care without feeling alienated or intimidated.
Research Focus
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Top Papers
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