Abstract
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.
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.
| Original language | English |
|---|---|
| Pages | 1-4 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Accepted/In press - 13 Oct 2024 |
| Event | IEEE VIS workshop on First-Person Visualizations for Physical Activities - St. Pete Beach, United States Duration: 13 Oct 2024 → 13 Oct 2024 |
Workshop
| Workshop | IEEE VIS workshop on First-Person Visualizations for Physical Activities |
|---|---|
| Country/Territory | United States |
| Period | 13/10/24 → 13/10/24 |
Keywords
- Visulaization in motion
- Sports activities
- Mobile and wearable devices
- Visualization design