Run spot run: capturing and tagging footage of a race by crowds of spectators

Flintham, Martin D.; Velt, Raphael; Wilson, Max L.; Anstead, Edward J.; Benford, Steve; Brown, Anthony; Pearce, Timothy; Price, Dominic; Sprinks, James

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.

Citation

Flintham, M. D., Velt, R., Wilson, M. L., Anstead, E. J., Benford, S., Brown, A., …Sprinks, J. (2015). Run spot run: capturing and tagging footage of a race by crowds of spectators. In CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (747-756). https://doi.org/10.1145/2702123.2702463

• Conference Name: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
• Conference Location: Seoul, Republic of Korea
• Start Date: Apr 18, 2015
• End Date: Apr 23, 2015
• Publication Date: Apr 20, 2015
• Deposit Date: Jan 22, 2016
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Pages: 747-756
• Book Title: CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
• ISBN: 978-1-4503-3145-6
• DOI: https://doi.org/10.1145/2702123.2702463
• Keywords: crowd sourcing, marathon, public settings, story telling, tagging, video
• Public URL: https://nottingham-repository.worktribe.com/output/749439
• Publisher URL: https://dl.acm.org/citation.cfm?doid=2702123.2702463
• Additional Information: Published in: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). New York : ACM, 2015. ISBN 9781450331456, pp. 747-756. DOI: 10.1145/2702123.2702463