Papers

5

Total Citations

83

H-Index

4

About

Tianyang Huang is a researcher whose work sits at the intersection of human-robot interaction, gerontechnology, and service innovation, with a particular focus on how elderly populations perceive and adopt robotic technologies. His most significant contributions explore the psychological, social, and contextual factors that shape older adults' willingness to engage with companion and assistive robots, employing both quantitative and qualitative methodologies to capture nuanced attitudes from this underrepresented demographic. Huang's research has made a meaningful impact on understanding robot acceptance across multiple settings. His 2019 study on elderly acceptance of companion robots (27 citations) established a strong foundation in user-centered perspectives, while subsequent work examined how independently living seniors view robotic assistance with daily activities (20 citations). Notably, he extended this inquiry into hospitality contexts, investigating how the COVID-19 pandemic and demographic aging have accelerated interest in hotel service robots among elderly guests (19 citations). His collaborative work engaging future designers as stakeholders in robot development reflects a forward-thinking approach to inclusive technology design. With a growing body of work spanning healthcare, hospitality, and design education, Huang is emerging as a distinctive voice in aging-technology research, offering insights that carry practical implications for policymakers, robot developers, and service industry professionals alike.

Research Focus

Key Achievements

4
H-Index
5
Papers
83
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Elderly’s acceptance of companion robots from the perspective of user factors
27 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National Taipei University of Technology, Guangdong Ocean University, Xiamen University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago