Paper
29 January 2007 Olfactory enhanced multimedia applications: perspectives from an empirical study
Oluwakemi A. Ademoye, Gheorghita Ghinea
Author Affiliations +
Proceedings Volume 6504, Multimedia Computing and Networking 2007; 65040A (2007) https://doi.org/10.1117/12.705704
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
The increasing demand for multi-modal systems and applications that are highly interactive and multi-sensory in nature has led to the introduction of new media and new user interface devices in multimedia computing. Computer generated smell, also known as olfactory data, is one of such media objects currently generating a lot of interest in the multimedia industry. We are currently focusing our attention on exploring user perception of computer generated smell when combined with other media to enrich their multimedia experience. In this paper, we present the results of an empirical study into users' perception of olfactory enhanced multimedia displays. Results showed that users generally enjoy an enhanced multimedia experience when augmented by olfactory stimuli, and that the presence of such stimuli increases the sense of relevance. Whilst there is a general positive bias towards olfactory enhanced multimedia applications, specific properties of smell such as diffusion and lingering mean that in practice specific attention needs to be given when a mix of smells is associated with visualised multimedia content; moreover, it was found that whilst smell was incorrectly identified in some instances, the presence of smell per se is generally enough to create a richer user multimedia experience.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oluwakemi A. Ademoye and Gheorghita Ghinea "Olfactory enhanced multimedia applications: perspectives from an empirical study", Proc. SPIE 6504, Multimedia Computing and Networking 2007, 65040A (29 January 2007); https://doi.org/10.1117/12.705704
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Cited by 4 scholarly publications.
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KEYWORDS
Video

Multimedia

Virtual reality

Statistical analysis

Computing systems

Combustion

Human-machine interfaces

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