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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
2022
Ciardo F., De Tommaso D., Wykowska A.
A non-verbal “Turing test”? Human-like behavioral variability blurs the distinction between a human and a machine.
Science Robotics
Article in Press Journal
2022
Marchesi S., De Tommaso D., Perez-Osorio J., Wykowska A.
Belief in sharing the same phenomenological experience increases the likelihood of adopting the intentional stance towards a humanoid robot.
Technology, Mind and Behavior, vol. 3, (no. 3)
Article Journal
2022
Siri G., Abubshait A., De Tommaso D., Cardellicchio P., DAusilio A., Wykowska A.
Expectations about mental states of a robot influence performance in a collaborative task with a robot for males but not females
IEEE International Symposium on Robot and Human Interactive Communication
Conference Paper Conference
2022
Ciardo F., De Tommaso D., Wykowska A.
Human-like behavioral variability blurs the distinction between a human and a machine in a nonverbal Turing test
Science Robotics, vol. 7, (no. 68)
Article Journal
2022
Roselli C., Ciardo F., De Tommaso D., Wykowska A.
Human-likeness and attribution of intentionality predict vicarious sense of agency over humanoid robot actions
Scientific Reports, vol. 12, (no. 1)
Article Journal