{"id":{"repo_id":"uts","oai_identifier":"oai:opus.lib.uts.edu.au:10453/161739"},"canonical_url":"https://search.dev.ndltd.org/etd/uts/oai:opus.lib.uts.edu.au:10453/161739","repository":{"repo_id":"uts","name":"University of Technology Sydney","base_url":"https://opus.lib.uts.edu.au/oai/request"},"display":{"title":"Affective Visualization in Virtual Reality Systems","abstract":"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.","abstract_html":"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.","abstract_has_math":false,"creators":["Pinilla Palacios, Andres"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022","date_published":"2022","updated_at":"2026-07-24T06:32:20Z","subjects":[],"languages":["en_US"],"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. 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