Papers

3

Total Citations

131

H-Index

3

About

Ni Xu is a pioneering researcher at the intersection of artificial intelligence and professional service industries, with a primary focus on technology acceptance and human-robot interaction in legal and architectural fields. Her groundbreaking work investigates how professionals and clients perceive and adopt AI-powered robotic systems, particularly through extended Technology Acceptance Models (TAM). Xu's most influential study, "Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study" (63 citations), established a foundational framework for understanding the integration of AI in legal practice. She further expanded this research to the architectural domain with her 2021 study on AI robotic architects (43 citations), demonstrating the cross-sectoral applicability of her models. Her 2022 quantitative survey on lawyer robots (25 citations) provided robust empirical validation of her theoretical frameworks. Collectively, Xu's work has accumulated over 130 citations, making significant contributions to the discourse on AI adoption in knowledge-intensive professions. Her research is particularly valuable for practitioners and policymakers navigating the delicate balance between technological innovation and professional expertise, offering evidence-based insights into the factors that drive or hinder the acceptance of AI collaborators in traditionally human-centered fields.

Research Focus

Key Achievements

3
H-Index
3
Papers
131
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Adopting robot lawyer? The extending artificial intelligence robot lawyer technology acceptance model for legal industry by an exploratory study
63 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Taiwan University of Science and Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago