Jessica Morton

Junior researcher at the research group for Media, Innovation and Communication Technologies, Department of Communication Sciences, Ghent University.

Jessica Morton

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Experimental design

Cognitive load measurement


Jessica Morton started as a junior researcher at the research group imec-mict-UGent in January 2019. She graduated as a Master in Experimental Psychology (Ghent University, 2017), with a great interest and passion for research in the field of sport psychology. For her master thesis she carried out an experimental study about the consequences of a autonomy-supportive vs controlling coaching style on motivation, preparation, competence feelings and performance when communicating a performance goal at a group of youth soccer players. The influence of maladaptive perfectionism when players were nervous was also investigated. Currently she is obtaining an online certificate at the Barça Innovation Hub in the course ‘Neuroscience in sports and training’.

Before joining the mict group, Jessica worked as a Research Consultant at the neuromarketing start-up Impulse Research (spin-off from market research agency Profacts). She gained neuroscientific expertise and know-how to solve applied marketing and management questions with the most recent technological innovations in market research (e.g. mobile EEG, mobile eye-tracking,  mobile physiological measurements, VR, online reaction tasks, online emotion tracking,...). Next to that she also led a VLAIO funded research project about the influences of physical (sleep, heartrate, steps per day,…), but also mental (motivation, emotions, goals,…) and cognitive (inhibition control, working memory performance) parameters on the well-being of the employees that performed a 3-month personally tailored running schedule and had to wear a Fitbit wearable.

In line with her interest in applied neuroscience and wearable applications for measuring human behavior, she joined mict on a project about cognitive load remediation in Industry 4.0 (“Lorem 4.0”). This project aims to identify robust and reliable markers of cognitive (over)load. Validated tasks will be used to simulate industrial assembly performance for different complexity levels, while cognitive load will be measured with psychophysiological measures (EEG, EOG, GSR, facial expressions) and subjective feedback. This way, the project will also help in validating and optimizing imec hardware (EEG headset and Chill Band).