Impact of Environmental Control on Subjective Video Quality Assessment in Crowdsourced QoE Experiments

This research investigates the influence of environmental regulation on subjective evaluations of video quality within the Quality of Experience (QoE) paradigm. This work presents a supplementary experiment conducted in a controlled laboratory setting, building on our previous crowdsourcing studies carried out in uncontrolled, web-based conditions using the Prolific platform. Both tests utilized the identical crowdsourcing platform and complied with the International Telecommunication Union Telecommunication (ITU-T) P.910 Recommendations, ensuring external validity and methodological consistency. Participants assessed a collection of processed video sequences (PVS) comprising 46 distinct video clips utilizing the 5-point Absolute Category Rating (ACR) scale, while their response times were documented in milliseconds as measures of cognitive exertion and decision delay. The comparison analysis employs nonparametric tests (Mann–Whitney U and Kolmogorov–Smirnov) and a hierarchical Linear Mixed-Effects Model (LMM) to examine disparities in reaction time distributions, rating consistency, and the incidence of outliers across both environments. The results indicate that controlled settings produce statistically significantly less response variability and enhanced data reliability, whereas uncontrolled settings encompass greater external diversity and real-world unpredictability. These findings offer significant insights into the balance between experimental control and external validity in crowdsourced video quality assessment, advancing the development of scalable approaches for Quality of Experience research.

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Publication Details

Journal
Electronics
Published
2026-04-16
DOI
https://doi.org/10.3390/electronics15081666
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.00
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article

Impact of Environmental Control on Subjective Video Quality Assessment in Crowdsourced QoE Experiments

Dawid Juszka, Mohamedalfateh T. M. Saeed, Mikołaj Leszczuk, Swapnil Arawade et al.
Electronics
Image and Video Quality Assessment
article

Impact of Environmental Control on Subjective Video Quality Assessment in Crowdsourced QoE Experiments

Dawid Juszka, Mohamedalfateh T. M. Saeed, Mikołaj Leszczuk, Swapnil Arawade, Аndrеjа Sаmčоvić, Syed Uddin, Michał Grega, Avrajyoti Dutta
article en

Abstract

This research investigates the influence of environmental regulation on subjective evaluations of video quality within the Quality of Experience (QoE) paradigm. This work presents a supplementary experiment conducted in a controlled laboratory setting, building on our previous crowdsourcing studies carried out in uncontrolled, web-based conditions using the Prolific platform. Both tests utilized the identical crowdsourcing platform and complied with the International Telecommunication Union Telecommunication (ITU-T) P.910 Recommendations, ensuring external validity and methodological consistency. Participants assessed a collection of processed video sequences (PVS) comprising 46 distinct video clips utilizing the 5-point Absolute Category Rating (ACR) scale, while their response times were documented in milliseconds as measures of cognitive exertion and decision delay. The comparison analysis employs nonparametric tests (Mann–Whitney U and Kolmogorov–Smirnov) and a hierarchical Linear Mixed-Effects Model (LMM) to examine disparities in reaction time distributions, rating consistency, and the incidence of outliers across both environments. The results indicate that controlled settings produce statistically significantly less response variability and enhanced data reliability, whereas uncontrolled settings encompass greater external diversity and real-world unpredictability. These findings offer significant insights into the balance between experimental control and external validity in crowdsourced video quality assessment, advancing the development of scalable approaches for Quality of Experience research.

ElectronicsVol. 15(8)
Jagiellonian University (PL), Ondokuz Mayıs University (TR), University of Belgrade (RS), AGH University of Krakow (PL)
Openalex Percentile: Top 17%
Image and Video Quality Assessment
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