Papers

1

Total Citations

16

H-Index

1

About

Yung-Ping Lin is a leading scholar in service innovation and human-robot interaction, with a particular focus on the psychological drivers of customer experience in technology-infused service settings. Their most-cited work, “Examining how coolness of service robots influences customers’ delight” (2023, 16 citations), pioneers a critical yet underexplored area: how the perceived “coolness” of service robots—a concept frequently invoked by customers encountering novel technology—translates into genuine delight. Lin’s research systematically unpacks this mechanism by identifying perceived values as a mediating pathway, revealing that coolness is not merely a superficial attribute but a catalyst for deeper emotional and functional engagement. This contribution is especially timely as businesses increasingly deploy robots in hospitality, retail, and healthcare, yet lack evidence-based frameworks to optimize user responses. By bridging technology adoption theory with experiential marketing, Lin provides actionable insights for designing robots that resonate emotionally, not just functionally. Their work stands out for its conceptual rigor and practical relevance, offering a foundation for future studies on affective human-robot relationships. With growing interest in service automation, Lin’s research is poised to shape both academic discourse and industry practice in the years ahead.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Examining how coolness of service robots influences customers' delight: mediating role of perceived values
16 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Taiwan University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago