Re-embodied fear : Designing deep learning methods in virtual reality to unravel emotional body loops

Abstract

This thesis is an experimental research that theoretically examines the ontological nature of virtual reality (VR) and its possible implications to be used in designing new emotional learning environments and experiences. The focus is set on fear as an emotion that physically and mentally manifests itself as a specific phobia. The applications of using virtual reality as a psychological tool for treating negative emotions are questioned by making apparent the unanswered questions about our emotions and perception taking abilities.

Through different case studies related to the manipulations of our sense of embodiment in VR, the plasticity of our mind and body is researched and applied into emotion theories. The thesis examines how VR could be harnessed to reveal the phenomenal ‘body loops’ with the help of sensor technology (HRV) and ultimately, be designed to unravel the maladaptive loops. Hypothetically, it considers taking advantage of the virtual space design and our sense of embodiment by literally creating new perspectives for experiencing through virtual body manipulations. Through problematization and the ideology of ontological design, it is suggested that we should adapt more radical design in VR to overcome the existing scientific paradigms about emotional learning.