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

Doukakis, Estratos; Debattista, Kurt; Bashford-Rogers, Thomas; Dhokia, Amar; Asadipour, Ali; Chalmers, Alan; Harvey, Carlo

Authors

Estratos Doukakis

Kurt Debattista

Amar Dhokia

Ali Asadipour

Alan Chalmers

Carlo Harvey



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 (M = 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.

Journal Article Type Article
Publication Date May 31, 2019
Journal IEEE Transactions on Visualization and Computer Graphics
Print ISSN 1077-2626
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 25
Issue 5
Pages 1865-1875
Institution Citation Doukakis, E., Debattista, K., Bashford-Rogers, T., Dhokia, A., Asadipour, A., Chalmers, A., & Harvey, C. (2019). Audio-visual-olfactory resource allocation for tri-modal virtual environments. IEEE Transactions on Visualization and Computer Graphics, 25(5), 1865-1875. https://doi.org/10.1109/TVCG.2019.2898823
DOI https://doi.org/10.1109/TVCG.2019.2898823
Publisher URL http://dx.doi.org/10.1109/TVCG.2019.2898823
Additional Information Additional Information : (c) 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.

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