Hanyoung Go

University of Nebraska–Lincoln

Papers

1

Total Citations

192

H-Index

1

About

Hanyoung Go is a pioneering researcher at the intersection of artificial intelligence, robotics, and consumer behavior, with a primary focus on the tourism and hospitality industries. His most influential contribution is the development of the interactive Technology Acceptance Model (iTAM), a groundbreaking framework that explains how consumers come to accept and engage with advanced AI-powered robots in service settings. This work, published in 2020 and garnering 192 citations, offers a typology and conceptual roadmap that has become essential reading for scholars studying human-robot interaction in experiential contexts. Go's research critically addresses the psychological and behavioral barriers to adopting autonomous service agents, moving beyond traditional technology acceptance models to account for the unique social and interactive dimensions of robots. By bridging robotics, machine learning, and service management, his scholarship has shaped how the hospitality sector approaches automation and customer experience design. His work is widely cited by researchers exploring the future of work, AI ethics, and service innovation, establishing him as a key voice in understanding how cutting-edge technology transforms human-centered industries.

Research Focus

Key Achievements

1
H-Index
1
Papers
192
Total Citations
192
Avg Citations/Paper
🏆 Most Cited Paper
Machine learning of robots in tourism and hospitality: interactive technology acceptance model (iTAM) – cutting edge
192 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Nebraska–Lincoln

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago