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Agnieszka Wykowska
Agnieszka Wykowska

Agnieszka Wykowska

Adjunct Professor
Luleå University of Technology
Engineering Psychology
Health, Medicine and Rehabilitation
Department of Health, Education and Technology
Luleå

RESEARCH FOCUS

My research focuses on examining social cognition in human-human and human-robot interactions. I use the methods of social cognitive neuroscience to examine specific mechanisms of the human brain activated in social interactions and allowing social attunement. The aim of my research is to apply findings obtained with such methods to the area of assisitve and social robotics (e.g., robot-assisted living, training for individuals with autism, elderly- and child care), in order to tune the design of robots to the needs of the human cognitive system. In addition, my research focuses on more fundamental issues: intentional action, sense of agency and attribution of intentional agency to others, visual attention, action-related biases on perception.

Social cognitive neuroscience: fundamental mechanisms of social perception/cognition; intentionality; social attention; joint action; attribution of agency

Social robotics and human-robot interaction (HRI): fundamental mechanisms of social cognition in HRI; adopting the intentional stance; joint attention and joint action in HRI; cooperation; incorporating robots into human social sphere, designing robot behaviour to allow for social attunement.

Action-induced influences on perceptual selection: the intentional weighting mechanism; how intentions to act bias attention and perception

HRILab:

THE HUMAN-ROBOT INTERACTION LAB @ DIVISION OF HUMAN WORK SCIENCE, LTU

In the HRILab we examine how humans interact with humanoid robots. We manipulate the robot behaviour and test how specific parameters of the behaviour influence the way the human brain reacts to an artificial system. We follow the logic of a Turing test and aim at understanding under what conditions humans attribute human-likeness of behaviour to a robot, and when intentional stance towards the robot can be adopted. With the methods of social cognitive neuroscience (behavioural measures, EEG) we test how the brain processes subtle characteristics of robot behaviour.