Aziz is a a Postdoctoral researcher in the S4HRI unit. His research focuses on how we perceive and interact with social agents such as robots, machines and AI. His work examines the cognitive and neural underpinnings of the mental processes underlying these interactions to better understand the consequences of interacting with these agents. This multi-dimensional approach makes use of several techniques including live interactions with nonhuman social agents, physiological methods and behavioral paradigms.
Research center
CHT@Erzelli
Interests
Human-Robot Interaction
Social Cognition
Human Factors
Socio-Cognitive Neuroscience
Statistics
About
Education
Title: PhD
Institute: George Mason University
Location: Fairfax, VA
Country: United States
From: 2016 To: 2019
Top Publications
2021
Abubshait A., Beatty P. J., McDonald C. G., Hassall C. H., Krigolson O. E., Wiese E.
A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?
Cognitive Affective & Behavioral Neuroscience
2021
Pérez-Osorio J., Abubshait A., Wykowska A.
Irrelevant Robot Signals in a Categorization Task Induce Cognitive Conflict in Performance, Eye-trajectories, the N2 ERP-EEG component, and Frontal Theta Oscillations
Journal of Cognitive Neuroscience
Article in Press
Journal
2020
Abubshait A., Wykowska A.
Repetitive Robot Behavior Impacts Perception of Intentionality and Gaze-Related Attentional Orienting
Frontiers Robotics AI, vol. 7
All Publications
2022
Abubshait A., Siri G., Wykowska A.
Does attributing mental states to a robot influence accessibility of information represented during reading?
Acta Psychologica, vol. 228
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
RO-MAN 2022
Article in Press
Conference
2022
Abubshait A., Parenti L., Perez-Osorio J., Wykowska A.
Misleading robot signals in a classification task induce cognitive load as measured by theta synchronization between frontal and temporo-parietal brain regions
Frontiers in Neuroergonomics
Article in Press
Journal
2022
Abubshait A., Parenti L., Perez-Osorio J., Wykowska A.
Misleading Robot Signals in a Classification Task Induce Cognitive Load as Measured by Theta Synchronization Between Frontal and Temporo-parietal Brain Regions
Frontiers in Neuroergonomics
2021
Abubshait A., Beatty P. J., McDonald C. G., Hassall C. H., Krigolson O. E., Wiese E.
A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?
Cognitive Affective & Behavioral Neuroscience
Scientific Talks
2021
Abubshait A.
A. Causes and consequences of interaction with social robots.
Berlin Institute of Technology
Institute
Colleagues of Social cognition in human-robot interaction
