Collecting Information Needs for Egocentric Visualizations while Running

Ahmed Elshabasi*, Lijie Yao, Petra Isenberg, Charles Perin, Wesley Willett

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

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.
Original languageEnglish
Pages1-4
Number of pages4
Publication statusAccepted/In press - 13 Oct 2024
EventIEEE VIS workshop on First-Person Visualizations for Physical Activities - St. Pete Beach, United States
Duration: 13 Oct 202413 Oct 2024

Workshop

WorkshopIEEE VIS workshop on First-Person Visualizations for Physical Activities
Country/TerritoryUnited States
Period13/10/2413/10/24

Keywords

  • Visulaization in motion
  • Sports activities
  • Mobile and wearable devices
  • Visualization design

Fingerprint

Dive into the research topics of 'Collecting Information Needs for Egocentric Visualizations while Running'. Together they form a unique fingerprint.

Cite this