Affective Visualization in Virtual Reality Systems

A cluster of research in Human-Computer Interaction (HCI) suggests that it is possible to infer some characteristics of users’ mental states by analyzing their electrophysiological responses in real-time. However, it is unclear how to use the information extracted from electrophysiological signals to adjust the stimuli inside a virtual environment according to the user’s affective state. Therefore, this research project’s main objective is to understand how to develop a VR system that adapts automatically to the user’s affective state. A reference implementation of a neurofeedback VR experience for training affective self-regulation is proposed. This experience aims to train the ability of users to regulate their affective states voluntarily. The main contributions are (1) the development of a technique for near real-time detection of affective states in VR users; (2) a virtual environment for visual representation of affective states; and (3) the implementation of the affect detection technique and the virtual environment for the development of a neurofeedback VR experience.

Author dc:creator

• Pinilla Palacios, Andres

Statement dc:rights

• The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
• au.edu.uts.lib/ppc
• info:eu-repo/semantics/openAccess

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/10453/161739

OAI identifier oai:identifier

oai:opus.lib.uts.edu.au:10453/161739