Home > Research > Publications & Outputs > Crowdsourcing synchronous spectator support

Electronic data

  • Crowdsourcing Synchronous Spectator Support

    Rights statement: © Curmi, Ferrario, Whittle, Mueller ACM}, 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2702123.2702338

    Accepted author manuscript, 1.65 MB, PDF document

    Available under license: None

Links

Text available via DOI:

View graph of relations

Crowdsourcing synchronous spectator support: (go on, go on, you're the best)n-1

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Published
Publication date2015
Host publicationCHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM
Pages757-766
Number of pages10
ISBN (print)9781450331456
<mark>Original language</mark>English
EventCHI'15 - COEX, Seoul, Korea, Republic of
Duration: 18/04/201523/04/2015

Conference

ConferenceCHI'15
Country/TerritoryKorea, Republic of
CitySeoul
Period18/04/1523/04/15

Conference

ConferenceCHI'15
Country/TerritoryKorea, Republic of
CitySeoul
Period18/04/1523/04/15

Abstract

Many studies have shown that crowd-support, such as cheering during sport events, can have a positive impact on athletes’ performance. However, up until recently this support was only possible if the supporters and the athletes were geographically co-located. Can cheering be done remotely and would this be effective? In this paper we investigate the effect and possibilities of live remote cheering on co-located athletes and online supporting crowds that have a weak social tie and no social tie with the athlete. We recruit 140 online spectators and 5 athletes for an ad-hoc 5km road race. Results indicate that crowds socially closer to the athletes are significantly more engaged in the support. The athletes were excited by live remote cheering from friendsourced spectators and cheering from unknown crowdsourced participants indicating that remote friends and outsourced spectators could be an important source of support.

Bibliographic note

© Curmi, Ferrario, Whittle, Mueller ACM}, 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in CHI '15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems http://dx.doi.org/10.1145/2702123.2702338