Seeing is Believing: The Effect of Video Quality on Quality of Experience in Virtual Reality

Zheleva, Aleksandra; Durnez, Wouter; Bombeke, Klaas; Wallendael, Glenn Van; Marez, Lieven De

doi:10.1109/qomex48832.2020.9123075

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…These specific questions were oriented towards using the 'Wizard View', 'Scene controls' and data visualisation. In another interview, a QoE (Quality of experience) [31] assessment was done with the (VR) participant and semi structured interview followed to evaluate his experience and his tasks in VR. This pilot study was videotaped and comments were recorded and annotated for a more complete and unbiased overview of the responses from wizard and participant.…”

Section: Methodsmentioning

confidence: 99%

ExperienceDNA

Joundi

Bombeke

Kets

et al. 2021

Design, User Experience, and Usability: Design for Contemporary Technological Environments

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It is often challenging to measure participants' reactions during user tests where a Wizard-of-Oz (WoZ) method is applied. This method is applied by the observers to validate functionalities of concepts that are difficult to build. In this study, a new technique is developed using virtual reality (VR) to improve the measurement of the participant's reactions during such a test. In this system, called ExperienceDNA, VR user tests can be monitored and controlled through a desktop interface. In addition, physiological trackers (eye tracking and heart rate monitoring) are used to measure what the participant is looking at and to gauge their preferences. Moreover, the use of VR allows for quick adaptations to the virtual environment the participant is confronted with. In this way, highly versatile tests can be conducted while minimising the initial setup effort. Our approach has been validated by performing a pilot test on a predefined use case. The qualitative feedback collected from analysing batches of data from the pilot test is presented in the results section. In conclusion, this paper covers the development, description and evaluation of the ExperienceDNA framework, as well as some ideas for future improvements to this framework.

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Section: Methodsmentioning

confidence: 99%

ExperienceDNA

Joundi

Bombeke

Kets

et al. 2021

Design, User Experience, and Usability: Design for Contemporary Technological Environments

Self Cite

View full text Add to dashboard Cite

show abstract

“…XR service QoE evaluation is also challenging since the perceived quality depends on the content, the user gender, the daily exposure time, at least at medium to high delivery quality (low delay) [19]. The subjective video quality affects QoE relevant factors as sensory immersion and simulator sickness scores, measured by EEG user activity [18], whereas the augmented reality quality accounts for text features (e.g. readability) [21].…”

Section: Xr Services: a Glimpse On Quality Of Experiencementioning

confidence: 99%

The EXtended Reality Quality Riddle: A Technological and Sociological Survey

Panarese,

Baiocchi,

Colonnese

2023

2023 International Symposium on Image and Signal Processing and Analysis (ISPA)

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This position paper surveys recent research on the latest findings regarding the Quality of Experience in XR from two distinct angles. Firstly, we present recent technical outcomes concerning media quality. Secondly, we extend our investigation to user experiences from a sociological perspective. This innovative multidisciplinary approach establishes a connection between various methodologies, enabling a more comprehensive understanding of XR quality and it opens up new possibilities for XR services design and performance measurements.

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“…Moreover, different EEG sub band frequency powers were measured per EEG electrode and their ratios computed: delta (δ; 0.5-4 Hz), theta (θ; 4-8 Hz), alpha (α; 8-12 Hz), beta (β; 12-30 Hz), and gamma (γ; 30-44 Hz). In the past, several studies have linked spectral powers to HIFs; for example, a link between VR video quality and alpha power was shown in the occipital and parietal regions (Zheleva et al, 2020), between immersion and θ/α and concentration and β/θ (Lim et al, 2019), stress regulation and δ/β (Poppelaars et al, 2021), as well as sense of presence and θ/β (Zhang et al, 2021).…”

Section: Eeg Featuresmentioning

confidence: 99%

Instrumenting a virtual reality headset for at-home gamer experience monitoring and behavioural assessment

Moinnereau

Oliveira

Falk

2022

Front. Virtual Real.

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Measuring a gamer’s behaviour and perceived gaming experience in real-time can be crucial not only to assess game usability, but to also adjust the game play and content in real-time to maximize the experience per user. For this purpose, affective and physiological monitoring tools (e.g., wearables) have been used to monitor human influential factors (HIFs) related to quality of experience (QoE). Representative factors may include the gamer’s level of engagement, stress, as well as sense of presence and immersion, to name a few. However, one of the major challenges the community faces today is being able to accurately transfer the results obtained in controlled laboratory settings to uncontrolled everyday settings, such as the gamer’s home. In this paper, we describe an instrumented virtual reality (VR) headset, which directly embeds a number of dry ExG sensors (electroencephalography, EEG; electrocardiography, ECG; and electrooculography, EOG) to allow for gamer behaviour assessment in real-time. A protocol was developed to deliver kits (including the instrumented headset and controllers, laptop with the VR game Half-life Alyx, and a second laptop for data acquisition) to participants’ homes during the COVID-19 lockdown. A brief videoconference session was made to provide the participants with instructions, but otherwise the experiment proceeded with minimal experimenter intervention. Eight participants consented to participate and each played the game for roughly 1.5 h. After each gaming session, participants reported their overall experience with an online questionnaire covering aspects of emotions, engagement, immersion, sense of presence, motion sickness, flow, skill, technology adoption, judgement and usability. Here, we describe our obtained findings, as well as report correlations between the subjective ratings and several QoE-related HIFs measured directly from the instrumented headset. Promising results are reported.

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Seeing is Believing: The Effect of Video Quality on Quality of Experience in Virtual Reality

Cited by 6 publications

References 14 publications

ExperienceDNA

ExperienceDNA

The EXtended Reality Quality Riddle: A Technological and Sociological Survey

Instrumenting a virtual reality headset for at-home gamer experience monitoring and behavioural assessment

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