Papers

11

Total Citations

101

H-Index

5

About

Antonio Lieto is a researcher whose work sits at a rich intersection of cognitive architectures, human-robot interaction, and computational creativity. His research explores how machines can be endowed with human-like cognitive and emotional capacities, drawing on frameworks such as ACT-R to model complex behaviors ranging from persuasion and ethical reasoning to affective storytelling. Among his most notable contributions is his early work on artwork creation through dual-process cognitive architectures (2015, 25 citations), demonstrating that computational systems can meaningfully engage in creative tasks. Equally influential is his study of a storytelling robot navigating persuasive and ethical stances around COVID-19 topics (2021, 25 citations), a pioneering effort in needs-driven cognitive modeling for social robots. His affective sensemaking system for museum storytelling (2023, 17 citations) further showcases his commitment to emotionally intelligent AI in cultural contexts. Lieto has also made significant strides in understanding how empathy shapes human attributions of mental states to robots (2023, 14 citations), and his ongoing cAESAR workshop series reflects his leadership in shaping the broader human-robot interaction community. Across his portfolio, Lieto consistently advances the frontier of socially aware, cognitively grounded artificial agents.

Research Focus

Key Achievements

5
H-Index
11
Papers
101
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Artwork creation by a cognitive architecture integrating computational creativity and dual process approaches
25 citations · 2015
📈 Most Prolific Year: 2023 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: University of Turin, Institute for High Performance Computing and Networking, University of Salerno

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago