Papers
3
Total Citations
21
H-Index
2
About
Manuel Striani is a researcher at the intersection of artificial intelligence, affective computing, and human-robot interaction. His work centers on developing systems that understand, align with, and respond to human emotions to foster more natural and empathetic communication between people and machines. Striani’s major contributions include creating a sensemaking system for museums that groups and suggests stories based on multiple affective viewpoints, leveraging the TCL commonsense reasoning framework and Plutchik’s “wheel of emotions” to enrich cultural experiences (17 citations). More recently, he has pioneered experiments in Human-Robot Interaction (HRI) using platforms like NAO and Pepper robots to investigate the impact of adaptive emotional alignment on mental state attribution, user empathy, and persuasion. His 2025 studies demonstrate how emotionally aligned dialogue can influence communication styles and persuasive outcomes, marking a significant step toward empathic AI. With a growing citation footprint, Striani’s work is shaping how robots perceive and mirror human emotions, promising more intuitive and socially aware technologies for education, healthcare, and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3