Collecting Information Needs for Egocentric Visualizations while Running - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

Collecting Information Needs for Egocentric Visualizations while Running

Ahmed Elshabasi
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Petra Isenberg
Charles Perin
Wesley Willett
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Résumé

We investigate research challenges and opportunities for visualization in motion during outdoor physical activities via an initial corpus of real-world recordings that pair egocentric video, biometrics, and think-aloud observations. With the increasing use of tracking and recording devices, such as smartwatches and head-mounted displays, more and more data are available in real-time about a person's activity and the context of the activity. However, not all data will be relevant all the time. Instead, athletes have information needs that change throughout their activity depending on the context and their performance. To address this challenge, we describe the collection of a diverse corpus of information needs paired with contextualizing audio, video, and sensor data. Next, we propose a first set of research challenges and design considerations that explore the difficulties of visualizing those real data needs in-context and demonstrate a prototype tool for browsing, aggregating, and analyzing this information. Our ultimate goal is to understand and support embedding visualizations into outdoor contexts with changing environments and varying data needs.
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hal-04700822 , version 1 (20-09-2024)

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Ahmed Elshabasi, Lijie Yao, Petra Isenberg, Charles Perin, Wesley Willett. Collecting Information Needs for Egocentric Visualizations while Running. First-Person Visualizations for Outdoor Physical Activities Workshop held as part of IEEE VIS 2024, Oct 2024, St. Pete Beach (Florida), United States. ⟨10.48550/arXiv.2409.06426⟩. ⟨hal-04700822⟩
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