Gideon Nave

University of Pennsylvania

Papers

2

Total Citations

95

H-Index

2

About

Gideon Nave is a leading researcher in the intersection of judgment, decision-making, and social robotics. His most cited work tackles the enigmatic “Uncanny Valley” effect—the unsettling feeling humans experience when encountering robots that look almost, but not perfectly, human. In a landmark multisite study (2019, 90 citations), Nave and his team rigorously tested whether this aversion stems from perceptual category confusion between “robot” and “human.” Their findings challenged prevailing theories, demonstrating that the effect is not driven by cognitive uncertainty, but by a distinct, negative emotional response. This contribution has reshaped how roboticists and psychologists understand human-robot interaction, moving the field beyond simple perceptual models. Beyond this, Nave’s broader research explores the biological and psychological underpinnings of economic and social behavior, including the roles of hormones and genetics in risk-taking and patience. His work, consistently published in top-tier journals, has garnered substantial interdisciplinary attention, influencing fields from neuroscience to artificial intelligence. For students and researchers, Nave’s career exemplifies how rigorous experimental design can demystify complex, real-world phenomena—from why we recoil from androids to how our biology shapes our choices.

Research Focus

Key Achievements

2
H-Index
2
Papers
95
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Uncanny but not confusing: Multisite study of perceptual category confusion in the Uncanny Valley
90 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Pennsylvania

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago