Identifying communal user needs for quality of experience (QoE) evaluation and improvement focused on user-centered design
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies eleven "communal user needs" across ten technology domains, revealing shared user requirements for Quality of Experience (QoE). These findings enable a universal QoE model adaptable to evolving intelligent systems.
Area Of Science
- Human-Computer Interaction
- Information Systems
- User Experience Research
Background
- Intelligent systems necessitate understanding Quality of Experience (QoE) for user satisfaction.
- Current QoE models rely on objective metrics and are domain-specific, lacking universality.
- Subjective user needs are crucial but inconsistently measured across technologies.
Purpose Of The Study
- To identify common user needs across diverse technological domains.
- To establish a foundation for a universal Quality of Experience (QoE) model.
- To address the limitations of current domain-specific QoE evaluation methods.
Main Methods
- Utilized BERTopic and thematic analysis on user reviews from ten technological domains.
- Identified eleven common dimensions termed "communal user needs" by analyzing shared patterns.
- Validated inter-rater reliability (Krippendorff's α = 0.805) with three independent researchers.
Main Results
- Eleven "communal user needs" were defined, demonstrating abstract-level alignment despite varied individual expressions.
- A consistent pattern in the appearance of user needs across domains suggests potential for a universal QoE model.
- The identified communal user needs provide a reliable basis for QoE measurement.
Conclusions
- User needs, though diverse, converge into common dimensions across different technologies.
- A universal QoE model can be developed by incorporating the dynamic nature of these communal user needs.
- The proposed methodology offers a robust tool for evaluating QoE in the rapidly evolving technology market.
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