Alessio Gallucci

Ludwig-Maximilians-Universität München

Papers

1

Total Citations

136

H-Index

1

About

Alessio Gallucci’s research lies at the intersection of human-robot interaction (HRI) and social robotics, with a focus on the psychological mechanisms that underpin trust in autonomous systems. His most cited work, “Can Robots Earn Our Trust the Same Way Humans Do?” (2021, 136 citations), systematically explores how human-like traits—competence, warmth, and anthropomorphism—shape trust development in robots, particularly in high-stakes domains like healthcare and retail. By demonstrating that these social determinants influence trust in robots similarly to human interactions, Gallucci has provided a foundational framework for designing more trustworthy and socially acceptable robots. His contributions are pivotal for advancing HRI theory and informing the ethical deployment of robots in everyday settings. Gallucci’s research not only bridges social psychology and robotics but also offers practical insights for engineers and policymakers. With growing citation impact, his work continues to guide scholars and practitioners seeking to build effective, human-centered robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
136
Total Citations
136
Avg Citations/Paper
🏆 Most Cited Paper
Can Robots Earn Our Trust the Same Way Humans Do? A Systematic Exploration of Competence, Warmth, and Anthropomorphism as Determinants of Trust Development in HRI
136 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Ludwig-Maximilians-Universität München

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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