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Guidelines for conducting biofeedback-enhanced QoE studies in mulsemedia-enhanced virtual reality

Silveira, Aleph, Raisamo, Roope, Spyridonis, Fotios, Covaci, Alexandra, Ghinea, George, Santos, Celso A. S. (2023) Guidelines for conducting biofeedback-enhanced QoE studies in mulsemedia-enhanced virtual reality. In: WebMedia '23: Proceedings of the 29th Brazilian Symposium on Multimedia and the Web. . pp. 32-40. ACM ISBN 979-8-4007-0908-1. (doi:10.1145/3617023.3617029) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:110378)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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Abstract

This paper presents the conclusions drawn from an ongoing experiment investigating the performance, usability, and impact of multisensory stimuli in the virtual environment, with a focus on proposing guidelines for conducting biofeedback-enhanced Quality of Experience (QoE) studies in multimedia-enhanced Virtual Reality (VR). The study evaluated various devices, including the Polar H10 and Grove GSR for biosignal measurement and an EEG device for brainwave analysis. Concerns related to participant comfort were highlighted, such as discomfort caused by tight electrodes and difficulties in achieving consistent contact with the scalp. Ergonomic issues with Head-Mounted Displays (HMDs) were also identified, emphasizing the need for comfortable and immersive experiences. The paper recommends addressing these concerns through inclusive design and user-friendly adaptation of devices. The findings emphasize the importance of integrated devices and user-friendly design to enhance QoE and facilitate the adoption of biofeedback technologies outside of the lab. By following the proposed guidelines, researchers and developers can improve the immersive experience and advance the field of biofeedback in VR environments.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1145/3617023.3617029
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Institutional Unit: Schools > School of Engineering, Mathematics and Physics > Engineering
Former Institutional Unit:
There are no former institutional units.
Funders: National Council for Scientific and Technological Development (https://ror.org/03swz6y49)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 23 Jul 2025 09:45 UTC
Last Modified: 24 Jul 2025 15:10 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/110378 (The current URI for this page, for reference purposes)

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