Chaolan Lin
Papers
2
Total Citations
60
H-Index
2
About
Chaolan Lin explores the intersection of human-robot interaction, child development, and family dynamics, with a focus on how artificial intelligence reshapes parenting practices. Her research centers on parental acceptance of storytelling robots, a niche but rapidly growing area in child-robot interaction. In her most cited work, “Parental Acceptance of Children’s Storytelling Robots: A Projection of the Uncanny Valley of AI” (2021, 48 citations), Lin conducted a qualitative study with 18 parents, revealing that acceptance is mediated by the “uncanny valley of AI”—where robots that mimic human storytelling too closely evoke discomfort. Her earlier study, “Parental Expectations, Concerns, and Acceptance of Storytelling Robots for Children” (2020, 12 citations), integrates technology acceptance models with Bowen family systems theory to unpack how family culture shapes parental attitudes. Lin’s contributions are notable for bridging psychological frameworks with emerging AI technologies, offering design implications for child-friendly robots that respect parental values. Her work has been cited in leading HCI and robotics venues, influencing both academic discourse and practical robot design for early childhood education. Lin’s research continues to inform how we ethically integrate AI into intimate family rituals.
Research Focus
Key Achievements
Top Papers
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