Xingang Wang

Guangdong University of Petrochemical Technology

Papers

Total Citations

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About

Xingang Wang is a researcher whose work sits at the intersection of artificial intelligence, human-robot interaction, and aging populations. His most recognized contribution investigates the factors shaping elderly individuals' willingness to embrace AI-powered companion robots — a timely and socially significant line of inquiry as global populations continue to age rapidly. Drawing particular attention to contexts like China, where demographic shifts are placing unprecedented pressure on elder care systems, Wang's research explores how individual characteristics influence technology acceptance among senior users. With his 2025 study already accumulating 10 citations shortly after publication, Wang demonstrates an ability to address urgent, real-world challenges that resonate quickly within the academic community. His scholarship bridges technology adoption theory with gerontological concerns, offering practical insights for designers, policymakers, and caregivers seeking to deploy AI solutions responsibly and effectively for older adults. Wang's work is especially valuable for researchers in human-computer interaction, healthcare technology, and social robotics, as it foregrounds the human dimensions of AI deployment rather than treating technological capability as sufficient on its own. His research ultimately advocates for more inclusive, user-centered approaches to AI innovation in eldercare settings.