Domenico Rossignoli
Papers
7
Total Citations
67
H-Index
4
About
Domenico Rossignoli investigates the intersection of human-robot interaction, social robotics, and cognitive science, focusing on how people perceive and cooperate with anthropomorphic machines. His major contributions center on understanding the psychological and neural mechanisms underlying human-robot shared experiences, particularly in strategic contexts like the iterated Prisoner’s Dilemma. His most cited work, “Machines Like Us and People Like You: Toward Human–Robot Shared Experience” (20 citations), explores collaborative robot applications across healthcare, search and rescue, and entertainment. Rossignoli’s research on emerging adults’ robotic expectations (16 citations) reveals latent profiles that shape future human-robot dynamics. Notably, his experiments with over 500 university students demonstrate that humans attribute mental states to robots based on consistency in behavior and communication, impacting cooperation levels. His interdisciplinary approach, combining neuroscience and robotics, has been recognized for advancing understanding of brain activation during human-robot interaction. With over 67 total citations across his top papers, Rossignoli’s work is pivotal for designing more effective, socially aware robots that bridge the gap between technological capability and human expectation, making him a key figure in shaping the next generation of collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Machines Like Us and People Like You: Toward Human–Robot Shared Experience20 citations · 2021
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- 3
- 4Can You Activate Me? From Robots to Human Brain10 citations · 2021
- 5
- 6Attribution of Mental State in Strategic Human-Robot Interactions2 citations · 2022
- 7