Papers

2

Total Citations

7

H-Index

2

About

Robin Gigandet is a pioneering researcher at the intersection of cognitive neuroscience and human-robot interaction. Their work fundamentally explores how humans perceive, trust, and emotionally engage with artificial social agents, revealing deep-seated psychological biases that shape our relationships with robots. Gigandet’s most cited study (2024, 4 citations) uses the N400 event-related brain potential—a neurophysiological marker of incongruity—to demonstrate that humans exhibit neural skepticism when robots claim physically impossible actions, such as knitting without arms. This groundbreaking finding shows that our brains automatically detect mismatches between a robot’s form and its stated capabilities. In their equally influential “Eve effect bias” study (2023, 3 citations), Gigandet investigates epistemic vigilance, revealing that humans instinctively monitor social robots for signs of deception or falsehood, mirroring ancient evolutionary mechanisms for detecting untrustworthy social partners. This work challenges assumptions about seamless human-robot coexistence and has profound implications for designing transparent, trustworthy AI systems. Gigandet’s research uniquely bridges neuroscience and robotics, offering empirical evidence that our cognitive architecture is exquisitely tuned to evaluate robotic agents with surprising sophistication.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Beyond Explicit Acknowledgment: Brain Response Evidence of Human Skepticism towards Robotic Emotions
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Centre National de la Recherche Scientifique, Université de Lille

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago