Context-Aware QoE for Mobility-Driven Applications Through Dynamic Surveys

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Detalles Bibliográficos
Publicado en:Information vol. 15, no. 12 (2024), p. 797
Autor principal: Nawaz, Omer
Otros Autores: Zhou, Yuan, Khatibi, Siamak, Fiedler, Markus
Publicado:
MDPI AG
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022 |a 2078-2489 
024 7 |a 10.3390/info15120797  |2 doi 
035 |a 3149642453 
045 2 |b d20240101  |b d20241231 
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100 1 |a Nawaz, Omer 
245 1 |a Context-Aware QoE for Mobility-Driven Applications Through Dynamic Surveys 
260 |b MDPI AG  |c 2024 
513 |a Journal Article 
520 3 |a The integration of outdoor smartphone applications with fitness trackers has introduced new opportunities and challenges for user interaction, particularly in mobility-driven activities. While these innovations offer significant benefits, they also pose challenges due to the many factors influencing the user’s quality of experience. Traditional methods of assessing user experiences, such as offline surveys and static questionnaires, often fail to capture the dynamic nature of outdoor activities. This research proposes a novel Quality of Experience (QoE) methodology for mobile applications to enhance the assessment of user experiences in cycling. Focusing on a use case in Blekinge, Sweden, where residents were encouraged to adopt cycling for daily transportation, we extracted land cover data and developed a server-side workflow for bicycle path segmentation. By incorporating dynamic surveys that adapt to users’ real-time experiences, we aim to generate a more accurate and context-aware dataset. This study makes several key contributions: First, it presents a scalable method for bicycle path segmentation; second, it demonstrates the utility and benefits of land cover data extraction; and finally, it evaluates the effectiveness of QoE influence factors through user surveys based on real-world cyclist feedback. This approach is expected to enhance the planning and development of cycling infrastructure by providing urban planners and stakeholders with valuable user insights using adaptable surveys based on route segmentation. 
651 4 |a Sweden 
653 |a Bicycles 
653 |a Internet 
653 |a Physical fitness 
653 |a User experience 
653 |a Applications programs 
653 |a Urban planning 
653 |a User satisfaction 
653 |a Context 
653 |a Mobile communications networks 
653 |a Workflow 
653 |a Mobile computing 
653 |a Automation 
653 |a Land cover 
653 |a Feedback 
653 |a Bicycling 
653 |a Use statistics 
653 |a Quality assessment 
653 |a Infrastructure 
653 |a Smartphones 
653 |a Tracking devices 
653 |a Outdoor activities 
653 |a Carbon 
653 |a Segmentation 
653 |a Real time 
700 1 |a Zhou, Yuan 
700 1 |a Khatibi, Siamak 
700 1 |a Fiedler, Markus 
773 0 |t Information  |g vol. 15, no. 12 (2024), p. 797 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3149642453/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3149642453/fulltextwithgraphics/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3149642453/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch