The influence of human factors on 360∘ mulsemedia QoE

Saleme, Estêvão Bissoli; Covaci, Alexandra; Assres, Gebremariam; Comşa, Ioan-Sorin; Trestian, Ramona; Santos, Celso A. S.; Ghinea, Gheorghiţă

doi:10.1016/j.ijhcs.2020.102550

Cited by 17 publications

(7 citation statements)

References 73 publications

(105 reference statements)

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“…The most frequent scales used were the ACR or MOS, as mentioned above. Other scales include the Standard Deviation of Opinion Scores (SOS) [99] and the Net Promoter Score (NPS) [100]. The SOS is a measure that states that in properly conducted QoE evaluation tests, user ratings differ very little, as all users experience the same boundary conditions.…”

Section: Input Stagementioning

confidence: 99%

Survey on Quality of Experience Evaluation for Cloud-Based Interactive Applications

Arellano-Uson,

Magaña,

Morato

et al. 2024

Applied Sciences

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A cloud-based interactive application (CIA) is an application running in the cloud with stringent interactivity requirements, such as remote desktop and cloud gaming. These services have experienced a surge in usage, primarily due to the adoption of new remote work practices during the pandemic and the emergence of entertainment schemes similar to cloud gaming platforms. Evaluating the quality of experience (QoE) in these applications requires specific metrics, including interactivity time, responsiveness, and the assessment of video- and audio-quality degradation. Despite existing studies that evaluate QoE and compare features of general cloud applications, systematic research into QoE for CIAs is lacking. Previous surveys often narrow their focus, overlooking a comprehensive assessment. They touch on QoE in broader contexts but fall short in detailed metric analysis. Some emphasise areas like mobile cloud computing, omitting CIA-specific nuances. This paper offers a comprehensive survey of QoE measurement techniques in CIAs, providing a taxonomy of input metrics, strategies, and evaluation architectures. State-of-the-art proposals are assessed, enabling a comparative analysis of their strengths and weaknesses and identifying future research directions.

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Section: Input Stagementioning

confidence: 99%

Survey on Quality of Experience Evaluation for Cloud-Based Interactive Applications

Arellano-Uson,

Magaña,

Morato

et al. 2024

Applied Sciences

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“…In terms of perceived enjoyment, older adults have been shown to have predominantly positive feelings toward their VR experiences (Barsasella et al 2020). However, they have had a harder time understanding the functionalities of the controllers, thus nding it di cult to learn to use VR ( Higher olfactory sensitivity has also been related to higher perceived realism of the VE (Saleme et al 2021). However, users who are highly sensitive to smells tend to report higher feelings of annoyance and distractions, especially when the smell in VR is perceived as "not realistic" (Saleme et al 2021).…”

Section: User Characteristicsmentioning

confidence: 99%

“…However, they have had a harder time understanding the functionalities of the controllers, thus nding it di cult to learn to use VR ( Higher olfactory sensitivity has also been related to higher perceived realism of the VE (Saleme et al 2021). However, users who are highly sensitive to smells tend to report higher feelings of annoyance and distractions, especially when the smell in VR is perceived as "not realistic" (Saleme et al 2021). Finally, the physical and motor abilities of users have also been shown to alter the QoE in VR.…”

Section: User Characteristicsmentioning

confidence: 99%

An Extensive Integrative Literature Review of Quality of Experience in Virtual Reality

Zheleva

Durnez

Marez

et al. 2023

Preprint

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The development and rapid adoption of virtual reality (VR) have brought with it the need to redefine the concept of quality of user experience (QoE). To date, QoE models for VR have provided us with a narrow view of the concept, traditionally operating under the umbrella of a single discipline (e.g., psychology) or a specific feature of the user experience (e.g., presence). Moreover, literature reviews on the topic have focused on academic articles disregarding the constant technological updates reflected in industry reports. Addressing these gaps, the current study adopted a rigorous, integrative literature review approach. The results of 729 sources were analysed to outline and describe 252 factors divided into four main branches (i.e. user, system, context and content). Finally, a comprehensive multidisciplinary model was created based on representative academic and industry sources from the fields of psychology, communication sciences, ergonomics, computer science and technological innovation. Notably, an interactive dashboard that outlined in detail the facets of the model was developed. The dashboard presents scholars and developers with a practical tool that aids the design of future experiments and the development of VR products. Ultimately, the extensive scope and laborious state-of-the-art methodology of the current paper present significant value to academia and industry alike.

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“…Users now are moving from 2D to 3D video with VR devices, however, they face problems because heterogeneous VR devices of different organizations provide low and high user satisfaction sense of watching of videos [25,26,27]. The researchers did not use the quality of experience (QoE) assessment for VR devices using different parameters such as graphics quality, and the impact of network condition for online videos [28,29,30]. QoE assessment of VR videos was never considered for research purposes so still research work required assessing the user needs for AR videos, which will improve the user experience for AR technology [31,32].…”

Section: Real-world Applicationsmentioning

confidence: 99%

Systematic Analysis of Virtual Reality & Augmented Reality

Laghari¹,

Jumani²,

Kumar³

et al. 2021

IJIEEB

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Nowadays, users are moving from old 2D screens to modern devices such as 3D screens and virtual reality devices to enjoy videos and games like real-world experience, and this demand increased further development. Virtual Reality (VR) is based on the creation of a simulated environment of real-world with computer creation, and Augmented Reality (AR) is based on the addition of simulation components (environment) in the real-world scene. In this paper, systematic analysis of relationships and features both VR and AR varies by outline, arrangement, administrations, and devices for associations and clients. This paper provides a difference between AR and VR, advantages, future, and open research issues.

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The influence of human factors on 360∘ mulsemedia QoE

Cited by 17 publications

References 73 publications

Survey on Quality of Experience Evaluation for Cloud-Based Interactive Applications

Survey on Quality of Experience Evaluation for Cloud-Based Interactive Applications

An Extensive Integrative Literature Review of Quality of Experience in Virtual Reality

Systematic Analysis of Virtual Reality & Augmented Reality

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