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

Flintham, Martin D. and Velt, Raphael and Wilson, Max L. and Anstead, Edward J. and Benford, Steve and Brown, Anthony and Pearce, Timothy and Price, Dominic and Sprinks, James (2015) Run spot run: capturing and tagging footage of a race by crowds of spectators. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, 18-23 April 2015, Seoul, South Korea.

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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.

Item Type: Conference or Workshop Item (Paper)
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
Keywords: crowd sourcing, marathon, public settings, story telling, tagging, video
Schools/Departments: University of Nottingham UK Campus > Faculty of Science > School of Computer Science
Depositing User: Wilson, Max
Date Deposited: 22 Jan 2016 08:28
Last Modified: 14 Sep 2016 14:07
URI: http://eprints.nottingham.ac.uk/id/eprint/31319

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