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Audio-visual-olfactory resource allocation for tri-modal virtual environments

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Doukakis, Efstratios, Debattista, Kurt, Bashford-Rogers, Thomas, Dhokia, Amar, Asadipour, Ali, Chalmers, Alan and Harvey, C. (2019) Audio-visual-olfactory resource allocation for tri-modal virtual environments. IEEE Transactions on Visualization and Computer Graphics, 25 (5). pp. 1865-1875. doi:10.1109/TVCG.2019.2898823

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Official URL: http://doi.org/10.1109/TVCG.2019.2898823

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Abstract

Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which require realistic representations of real world environments, the VEs need to provide multiple, physically accurate sensory stimuli. However, simulating all the senses that comprise the human sensory system (HSS) is a task that requires significant computational resources. Since it is intractable to deliver all senses at the highest quality, we propose a resource distribution scheme in order to achieve an optimal perceptual experience within the given computational budgets. This paper investigates resource balancing for multi-modal scenarios composed of aural, visual and olfactory stimuli. Three experimental studies were conducted. The first experiment identified perceptual boundaries for olfactory computation. In the second experiment, participants (N=25) were asked, across a fixed number of budgets (N=5) , to identify what they perceived to be the best visual, acoustic and olfactory stimulus quality for a given computational budget. Results demonstrate that participants tend to prioritize visual quality compared to other sensory stimuli. However, as the budget size is increased, users prefer a balanced distribution of resources with an increased preference for having smell impulses in the VE. Based on the collected data, a quality prediction model is proposed and its accuracy is validated against previously unused budgets and an untested scenario in a third and final experiment.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Library of Congress Subject Headings (LCSH): Virtual reality, Computer simulation
Journal or Publication Title: IEEE Transactions on Visualization and Computer Graphics
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 1077-2626
Official Date: May 2019
Dates:
DateEvent
May 2019Published
14 February 2019Available
31 January 2019Accepted
Volume: 25
Number: 5
Page Range: pp. 1865-1875
DOI: 10.1109/TVCG.2019.2898823
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Access rights to Published version: Restricted or Subscription Access

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