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Title: Quality of Experience in Relation to Wearables
Authors: Hussain, Nadia
Advisors: Ghinea, G
Keywords: Quality of Service;Multimedia;Mulsemedia;Cross-Modal;User Experience
Issue Date: 2020
Publisher: Brunel University London
Abstract: The purpose of this study is to apply the concept of Quality of Experience (QoE) to wearables. QoE is inextricably linked to the user experience of multimedia computing and, although QoE has been explored in relation to other types of multimedia devices, thus far its applicability to wearables has remained largely ignored. Given the proliferation of wearable devices and their growing use to augment and complement the multimedia user experience, the need for a set of QoE guidelines becomes imperative. The study which forms the focus of this PhD meets that need and puts forward a set of guidelines tailored exclusively towards wearables’ QoE. Accordingly, an extensive experimental investigation has been undertaken to see how wearables impact users’ QoE in both multimedia and multiple sensorial media (mulsemedia) contexts. Based on two exploratory studies, the findings have shown that the haptic vest (KOR-FX) enhanced user QoE to a certain extent. In terms of adoption, participants reported they would generally incorporate the heart rate (HR) monitor wristband (Mio Go) into their daily lives as opposed to the haptic vest. Other findings revealed that human factors play a part in user’s attitudes towards wearables and predominantly age was the major influencing factor across both of the studies. Moreover, the participants’ HR varied throughout the experiments, suggesting an enhanced level of engagement whilst viewing the multimedia video clips. Furthermore, the results suggest that there is a potential future for wearables, if the QoE is a positive one and also if the design of such devices are appealing as well as unobtrusive.
Description: This thesis was submitted for the award of Doctor of philosophy and was awarded by Brunel University London
Appears in Collections:Computer Science
Dept of Computer Science Theses

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