Skip to main content

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

Kani-Zabihi, Elahe, Hussain, Nadia, Mesfin, Gebremariam, Covaci, Alexandra, Ghinea, Gheorghita (2020) On the influence of individual differences in cross-modal Mulsemedia QoE. Multimedia Tools and Applications, . ISSN 1380-7501. (doi:10.1007/s11042-020-09757-x) (KAR id:83626)

PDF Publisher pdf
Language: English

Download (861kB) Preview
[thumbnail of Kani-Zabihi2020_Article_OnTheInfluenceOfIndividualDiff.pdf]
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL:


Quality 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.

Item Type: Article
DOI/Identification number: 10.1007/s11042-020-09757-x
Uncontrolled keywords: Mulsemedia, Individual differences, Quality of experience, Cross-modal correspondence
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Alexandra Covaci
Date Deposited: 22 Oct 2020 15:14 UTC
Last Modified: 16 Feb 2021 14:15 UTC
Resource URI: (The current URI for this page, for reference purposes)
Covaci, Alexandra:
  • Depositors only (login required):


Downloads per month over past year