On the influence of individual differences in cross-modal Mulsemedia QoE

Author:

Kani-Zabihi Elahe,Hussain Nadia,Mesfin Gebremariam,Covaci Alexandra,Ghinea GheorghitaORCID

Abstract

AbstractQuality of Experience (QoE) is inextricably linked to the human side of the multimedia experience. Whilst there has been a considerable amount of research undertaken to explore the various dimensions of QoE, one facet which been relatively unexplored is the role of individual differences in determining an individual’s QoE. Whereas this is certainly true of multimedia applications, when it comes to mulsemedia (multiple media engaging three or more human senses) this is even more so, given its emerging and novel nature. Accordingly, in this paper we report the results of a study which investigated the role that individual differences (such as age, gender, education, and smell sensitivity) have on QoE, when mulsemedia incorporating olfactory and haptic stimuli is experienced in cross-modal environments. Our results reveal that whilst users had a satisfying overall mulsemedia experience the specific use of cross modally matched odours did not result in significantly higher QoE levels than when a control scent (rosemary) was employed. However, aspects of QoE are impacted upon by all individual differences dimensions considered in our study.

Funder

Horizon 2020

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference40 articles.

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1. Multi-sensory learning framework for visually impaired learners: Use of 3D, haptic, audio, olfactory media;Multimedia Tools and Applications;2024-03-06

2. Examining the Influence of Trimodal Multisensory Stimuli on Presence, Perceived Realism, and Quality of Experience in Video Visualization;2023 International Conference on Graphics and Interaction (ICGI);2023-11-02

3. Technology Enhanced Mulsemedia Learning (TEML) for Learners with Dyslexia;Proceedings of the 2023 ACM International Conference on Interactive Media Experiences Workshops;2023-06-12

4. Multidimensional modelling of quality of experience for video streaming;Computers in Human Behavior;2022-04

5. Progress and Opportunities in Modelling Just-Noticeable Difference (JND) for Multimedia;IEEE Transactions on Multimedia;2021

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