Songshan Huang
Papers
2
Total Citations
114
H-Index
2
About
Songshan Huang is a leading scholar in tourism and hospitality technology, whose work bridges cognitive psychology and service robotics to understand human–machine interactions. His research primarily explores consumer acceptance and resistance to AI-powered service robots, with a focus on the hospitality sector. Huang’s most cited paper, “Consumer intention to use service robots: a cognitive–affective–conative framework” (2023, 112 citations), develops a groundbreaking model that integrates both cognitive evaluations and emotional responses to predict robot adoption—a significant departure from purely rational models. More recently, his 2025 study “Overservice backfires: The impact of high robot attentiveness on tourists' discontinuous usage intentions” (2 citations) challenges the assumption that more attentive robots are always better, revealing that excessive proactive engagement can deplete users’ psychological resources and drive them away. This counterintuitive finding, grounded in conservation of resources theory, has immediate implications for robot design and deployment. Huang’s work is notable for its methodological rigor, combining qualitative insights with quantitative experiments and meta-analysis. His contributions are shaping how the tourism industry approaches automation, ensuring that technology serves guests without overwhelming them.
Research Focus
Key Achievements
Top Papers
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