Positions/ESR3

Fellow

Host Institution           

Start Date

 Duration

ESR3

AAU

May – 2019

36 Months

Project title and related WP(s):

Narrative cognition and decision-making in mixed reality systems (WP2)

Objectives:

With the rapid implementation of mixed reality technologies (MRT) in different domains, there is an increase usage of narratives and interactive digital storytelling (IDS) techniques as rhetorical devices for persuasion (e.g. in advertisement, marketing, politics, sustainability, motivational strategies, etc.).  As persuasive elements, stories can influence the decision-making processes and the choices of their audiences. Together with MRT and advanced biometric signals processing, IDS constitutes a powerful tool for investigating human decision-making processes in specific situations. The ESR will investigate key aspects of narrative cognition that may have an implicit influence in decision-making processes when story elements are mediated through MRT with the purpose of advising, prompting or persuading subjects into particular courses of action, choices and decisions. In particular, the ESR will dig into decision-making processes that may be affected by conditions such as (but not limited to) moral dilemmas, paradoxes, causal inferences, emotional involvement, ambiguity, uncertainty and stress. The interdisciplinary methodology will combine tools and techniques from MRT/VR/AR and interactive digital storytelling, a suite of integrated psychophysiological methods (EEG, HR, GSR and eye tracking) and phenomenological-subjective approaches in order to study key cognitive processes and affective states elicited by narrative rhetorical devices in immersive technologies.

Expected results: The ESR will provide new insight on the persuasive and rhetorical effects of narrative structures in human decision-making and cognition in the context of current and future interactive MRT

Planned secondments: UPISA (two months) to study the application of machine learning techniques to the integration of psychophysiological signals; UPV (two months) to study core cognitive processes in VR/MR interaction; GTEC (two months) for training in sensors systems and biosignal engineering and analysis.

Profile: An engineer with background in neuroscience and strong interest in IDS/narratology, or a neuroscientist with strong interest in MRT.

Detailed info in Euraxess