Olfaction and selective rendering

Harvey, Carlo; Bashford-Rogers, Thomas; Debattista, Kurt; Doukakis, Efstratios; Chalmers, Alan

Abstract

© 2017 The Authors & 2017 The Eurographics Association and John Wiley & Sons Ltd. Published by John Wiley & Sons Ltd. Accurate simulation of all the senses in virtual environments is a computationally expensive task. Visual saliency models have been used to improve computational performance for rendered content, but this is insufficient for multi-modal environments. This paper considers cross-modal perception and, in particular, if and how olfaction affects visual attention. Two experiments are presented in this paper. Firstly, eye tracking is gathered from a number of participants to gain an impression about where and how they view virtual objects when smell is introduced compared to an odourless condition. Based on the results of this experiment a new type of saliency map in a selective-rendering pipeline is presented. A second experiment validates this approach, and demonstrates that participants rank images as better quality, when compared to a reference, for the same rendering budget.

Citation

Harvey, C., Bashford-Rogers, T., Debattista, K., Doukakis, E., & Chalmers, A. (2018). Olfaction and selective rendering. Computer Graphics Forum, 37(1), 350-362. https://doi.org/10.1111/cgf.13295

• Journal Article Type: Article
• Acceptance Date: Aug 19, 2017
• Online Publication Date: Sep 14, 2017
• Publication Date: Feb 1, 2018
• Deposit Date: Oct 3, 2017
• Journal: Computer Graphics Forum
• Print ISSN: 0167-7055
• Electronic ISSN: 1467-8659
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 37
• Issue: 1
• Pages: 350-362
• DOI: https://doi.org/10.1111/cgf.13295
• Keywords: multi?modal; cross?modal; saliency; olfaction; graphics; selective rendering
• Public URL: https://uwe-repository.worktribe.com/output/871726
• Publisher URL: http://dx.doi.org/10.1111/cgf.13295