Yi‐Shun Wang
Papers
2
Total Citations
29
H-Index
2
About
Yi-Shun Wang is a leading scholar at the intersection of technology adoption and human-robot interaction, with a primary focus on understanding behavioral intentions toward emerging AI systems. His research uniquely bridges educational technology and gerontechnology, exploring how users—from parents to family caregivers—form intentions to adopt socially assistive robots. Wang’s most cited work, “Factors affecting parental intention to use AI-based social robots for children’s ESL learning” (2023, 23 citations), investigates the psychological and social drivers behind parents’ willingness to integrate AI robots into their children’s language education, offering critical insights for EdTech design. In parallel, his study “Factors Affecting Family Caregivers’ Behavioral Intention to Use Socially Assistive AI Robots for Elderly Care” (2023, 6 citations) extends this framework to aged-care contexts, revealing key determinants such as trust, perceived usefulness, and ease of use. By applying and extending established technology acceptance models to niche, high-stakes settings, Wang provides actionable guidance for developers and policymakers. His work is notable for its timely relevance, addressing the rapid proliferation of AI in daily life, and for its dual focus on vulnerable populations—children and the elderly—making him a pivotal voice in responsible AI deployment.
Research Focus
Key Achievements
Top Papers
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