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
Top Papers
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- 4Can empathy affect the attribution of mental states to robots?14 citations · 2023
- 5Workshop on Adapted intEraction with SociAl Robots (cAESAR)7 citations · 2020
- 63rd Workshop on Adapted intEraction with SociAl Robots3 citations · 2022
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- 85th Workshop on Adapted intEraction with SociAl Robots (cAESAR)2 citations · 2024
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- 10CaESAR: The Fourth Workshop on Adapted intEraction with SociAl Robots2 citations · 2023