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Davide De Tommaso

Senior Technician
Social cognition in human-robot interaction
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Research center
About

Davide De Tommaso works as research engineer in the Social Cognition in Human-Robot Interaction research group.

He received his master's degree in computer engineering from the University of Catania in 2010. He began his research activity at the Italian Institute of Technology in 2011 where he joined the Learning & Interaction group as a PhD student. In 2014 he obtained his PhD in Robotics, Cognition and Interactive Technologies. Today he is responsible for providing integrated solutions to support research activities in the design and development of experiments in human-robot interaction, in laboratory and clinical environments. In recent years he mainly deals with humanoid robots, EEG, eye-tracking and motion tracking systems, virtual and augmented reality.

All Publications
2021
Abubshait A., Perez-Osorio J., De Tommaso D., Wykowska A.
Collaboratively framed interactions increase the adoption of intentional stance towards robots
2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, pp. 886-891
Conference Paper Conference
2021
Ciardo F., De Tommaso D., Wykowska A.
Effects of erring behavior in a human-robot joint musical task on adopting intentional stance toward the iCub robot
2021 30th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2021, pp. 698-703
Conference Paper Conference
2021
Marchesi S., Bossi F., Ghiglino D., De Tommaso D., Wykowska A.
I Am Looking for Your Mind: Pupil Dilation Predicts Individual Differences in Sensitivity to Hints of Human-Likeness in Robot Behavior
Frontiers Robotics AI, vol. 8
2021
Chevalier P., Floris F., Priolo T., De Tommaso D., Wykowska A.
“iCub Says: Do My Motor Sounds Disturb You?” Motor Sounds and Imitation with a Robot for Children with Autism Spectrum Disorder
Lecture Notes in Computer Science, vol. 13086 LNAI, pp. 640-649
Conference Paper Book Series
2021
Ghiglino D., Willemse C., De Tommaso D., Wykowska A.
Mind the Eyes: Artificial Agents’ Eye Movements Modulate Attentional Engagement and Anthropomorphic Attribution
Frontiers Robotics AI, vol. 8