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Run Spot Run: Capturing and Tagging Footage of a Race by Crowds of Spectators

Published: 18 April 2015 Publication History
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  • Abstract

    There has been a massive growth in the number of people who film and upload amateur footage of events to services such as Facebook and Youtube, or even stream live to services such as LiveStream. We present an exploratory study that investigates the potential of these spectators in creating footage en masse; in this case, during a live trial at a local marathon. We deployed a prototype app, RunSpotRun, as a technology probe to see what kinds of footage spectators would produce. We present an analysis of this footage in terms of its coverage, quality, and contents, and also discuss the implications for a) spectators enjoying the race, and b) extracting the stories of individual runners throughout the race. We conclude with a discussion of the challenges that remain for deploying such technology at a larger scale.

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    Cited By

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    • (2021)The Arm-Swing is Discriminative in Video Gait Recognition for Athlete Re-Identification2021 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP42928.2021.9506348(2309-2313)Online publication date: 19-Sep-2021
    • (2021)User generated content for enhanced professional productions: a mobile application for content contributors and a study on the factors influencing their satisfaction and loyaltyMultimedia Tools and Applications10.1007/s11042-021-11381-2Online publication date: 24-Aug-2021
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    1. Run Spot Run: Capturing and Tagging Footage of a Race by Crowds of Spectators

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      cover image ACM Conferences
      CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
      April 2015
      4290 pages
      ISBN:9781450331456
      DOI:10.1145/2702123
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      Published: 18 April 2015

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      Author Tags

      1. crowd sourcing
      2. marathon
      3. public settings
      4. story telling
      5. tagging
      6. video

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      • Research-article

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      • EPSRC

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      CHI '15
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      CHI '15: CHI Conference on Human Factors in Computing Systems
      April 18 - 23, 2015
      Seoul, Republic of Korea

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      CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
      Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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      Cited By

      View all
      • (2024)Grand Challenges in SportsHCIProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642050(1-20)Online publication date: 11-May-2024
      • (2021)The Arm-Swing is Discriminative in Video Gait Recognition for Athlete Re-Identification2021 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP42928.2021.9506348(2309-2313)Online publication date: 19-Sep-2021
      • (2021)User generated content for enhanced professional productions: a mobile application for content contributors and a study on the factors influencing their satisfaction and loyaltyMultimedia Tools and Applications10.1007/s11042-021-11381-2Online publication date: 24-Aug-2021
      • (2020)MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban MarathonProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376281(1-12)Online publication date: 21-Apr-2020
      • (2019)Vicariously Experiencing it all Without Going OutsideProceedings of the ACM on Human-Computer Interaction10.1145/33591273:CSCW(1-28)Online publication date: 7-Nov-2019
      • (2019)Understanding the Shared Experience of Runners and Spectators in Long-Distance Running EventsProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300691(1-13)Online publication date: 2-May-2019
      • (2018)CampusWatchProceedings of the ACM on Human-Computer Interaction10.1145/32744032:CSCW(1-25)Online publication date: 1-Nov-2018
      • (2018)Designing the Audience Journey through Repeated ExperiencesProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3174142(1-12)Online publication date: 21-Apr-2018
      • (2017)Mobile Instant Video SharingProceedings of the on Thematic Workshops of ACM Multimedia 201710.1145/3126686.3126709(153-160)Online publication date: 23-Oct-2017
      • (2017)"Do Animals Have Accents?"Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing10.1145/2998181.2998298(207-219)Online publication date: 25-Feb-2017
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