A Tutorial for Olfaction-based Multisensorial Media Application Design and Evaluation

Murray, Niall and Ademoye, Oluwakemi, A, and Ghinea, Gheorghita and Muntean, Gabriel-Miro (2017) A Tutorial for Olfaction-based Multisensorial Media Application Design and Evaluation. ACM Computer Surveys, 50 (5). ISSN ISSN:0360-0300 (In Press)

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Recently, multimedia researchers have added several so called new media to the traditional multimedia components (e.g. olfaction, haptic and gustation). Evaluating multimedia user perceived Quality of Experience (QoE) is already non-trivial and the addition of multisensorial media components increases this challenge. No standardized methodology exists to conduct subjective quality assessments of multisensorial media applications. To date researchers have employed different aspects of audiovisual standards to assess user QoE of multisensorial media applications and thus, a fragmented approach exists. In this paper, the authors highlight issues researchers face from numerous perspectives including applicability (or lack of) existing audiovisual standards to evaluate user QoE and lack of result comparability due to varying approaches, specific requirements of olfactory-based multisensorial media applications, and novelty associated with these applications. Finally, based on the diverse approaches in the literature and the collective experience of authors, this paper provides a tutorial and recommendations on the key steps to conduct olfactory-based multisensorial media QoE evaluation.

Item Type: Article
Additional Information: © ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys, {VOL# 50, ISS# 5} https://doi.org/10.1145/3108243
Uncontrolled Keywords: Quality of Experience, multisensorial media, olfaction, evaluation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Divisions: Institutes and Academies > Wales Institute for Science & Art (WISA) > Academic Discipline: Applied Computing
Depositing User: Matt Briggs
Date Deposited: 25 Jul 2017 08:05
Last Modified: 31 May 2019 11:58
URI: https://repository.uwtsd.ac.uk/id/eprint/751

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