Papers
3
Total Citations
37
H-Index
2
About
Ruolei Gu investigates the psychological and neural underpinnings of human interaction with artificial intelligence, with a particular focus on how individual differences—such as depression, gender, and genetic predispositions—shape responses to AI agents. In their highly cited work, "I, robot: depression plays different roles in human–human and human–robot interactions" (2021, 26 citations), Gu demonstrates that depression alters social reward processing not only in human interactions but also during simulated encounters with socially engaging robots, offering critical insights for designing AI that supports mental health. More recently, Gu has explored how gendered AI features influence consumer behavior and neural responses in marketing contexts ("Gendered Artificial Intelligence in Marketing," 2025, 9 citations), and has broken new ground by examining genetic and environmental contributions to negative attitudes toward AI ("Born to Fear the Machine?," 2025, 2 citations). By bridging social psychology, neuroscience, and behavioral genetics, Gu’s work illuminates the complex interplay between human nature and machine design, providing a foundational framework for creating more inclusive, effective, and ethically sound AI systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3