tutorial

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

Authors:

Oluwakemi A. Ademoye,

Gheorghita Ghinea,

Gabriel-Miro MunteanAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 50, Issue 5

Article No.: 67, Pages 1 - 30

https://doi.org/10.1145/3108243

Published: 26 September 2017 Publication History

Abstract

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 article, 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 article provides a tutorial and recommendations on the key steps to conduct olfactory-based multisensorial media QoE evaluation.

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Gao PLiu FWen DGao YZhang LWang CZhang QZhang YMa SLu QMi HXu Y(2024)Mul-O: Encouraging Olfactory Innovation in Various Scenarios Through a Task-Oriented Development PlatformProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676387(1-17)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3654777.3676387
Zhang YGao PKang FLi JLiu JLu QXu Y(2024)OdorAgent: Generate Odor Sequences for Movies Based on Large Language Model2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00034(105-114)Online publication date: 16-Mar-2024
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Zhong XLiu WXie JGu YLiu G(2024)Olfactory-Enhanced VR: What's the Difference in Brain Activation Compared to Traditional VR for Emotion Induction?IEEE Transactions on Affective Computing10.1109/TAFFC.2023.333774515:3(1331-1342)Online publication date: 1-Jul-2024
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Index Terms

A Tutorial for Olfaction-Based Multisensorial Media Application Design and Evaluation
1. General and reference
  1. Cross-computing tools and techniques
    1. Evaluation
    2. Experimentation
2. Information systems
  1. Data management systems
  2. Information systems applications
    1. Multimedia information systems

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 50, Issue 5

September 2018

573 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3145473

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Department of Computer and Information Science and Engineering / University of Florida / Gainesville, FL 32611

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Published: 26 September 2017

Accepted: 01 June 2017

Revised: 01 June 2017

Received: 01 November 2016

Published in CSUR Volume 50, Issue 5

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Cited By

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