Lorenzo Parenti
Italian Institute of Technology, University of Turin, University of Manchester
Papers
8
Total Citations
49
H-Index
4
About
Lorenzo Parenti investigates the cognitive and neural foundations of human-robot interaction, focusing on how people perceive, trust, and collaborate with artificial agents. His research bridges social neuroscience and human-robot interaction (HRI), exploring how humans attribute intentionality to robots and how robotic gestures influence decision-making and trust. In his highly cited work, "Human-Likeness of Feedback Gestures Affects Decision Processes and Subjective Trust" (2022, 16 citations), Parenti demonstrates that the human-likeness of a robot’s feedback gestures significantly shapes users’ cognitive processing and trust levels. His earlier study, "Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance" (2021, 12 citations), reveals that mere exposure to a robotic character can modulate whether people adopt an intentional stance toward it. Parenti has also pioneered the use of theta synchronization as a neural marker for flexible socio-cognitive mechanisms when interacting with artificial partners (2023, 7 citations). His work on misleading robot signals (2022, 3 citations) shows that such signals induce cognitive load measurable through frontal and temporo-parietal theta synchronization. By combining behavioral experiments with EEG measures, Parenti’s research provides critical insights into designing more trustworthy and socially intuitive robots, advancing our understanding of how the human brain adapts to increasingly prevalent artificial interaction partners.
Research Focus
Key Achievements
Top Papers
- 1
- 2Exposure to Robotic Virtual Agent Affects Adoption of Intentional Stance12 citations · 2021
- 3
- 4Exposure to robotic virtual agent affects adoption of intentional stance4 citations · 2021
- 5
- 6
- 7Differences in Social Expectations About Robot Signals and Human Signals2 citations · 2023
- 8