Papers
5
Total Citations
255
H-Index
5
About
Thy Vo’s research lies at the intersection of human-robot interaction, trust dynamics, and human-autonomy teaming, with a particular focus on how people perceive and rely on autonomous systems in high-stakes contexts. Her work systematically unpacks the factors that shape trust in robots—from reliability and social intent to decision authority and individual differences. In her highly cited 2022 paper (85 citations), Vo demonstrated how unexpected robot behaviors can degrade trust in human-autonomy teams, emphasizing the critical role of communication. Her 2019 study (83 citations) broke new ground by revealing gender-based effects on trust in autonomous security robots, while her 2020 work (46 citations) showed that both reliability and stated social intent significantly influence willingness to endorse such systems. Vo has also explored how personality traits and Perfect Automation Schema predict trust in robots capable of inflicting harm (18 citations). Collectively, her research provides foundational insights for designing trustworthy autonomous systems, making her a key voice in the emerging field of ethical and effective human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trusting Robocop: Gender-Based Effects on Trust of an Autonomous Robot83 citations · 2019
- 3
- 4
- 5