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dc.contributor.authorCurmi, Franco-
dc.contributor.authorFerrario, Maria Angela-
dc.contributor.authorWhittle, Jon-
dc.contributor.authorMueller, Florian-
dc.date.accessioned2022-10-27T05:23:18Z-
dc.date.available2022-10-27T05:23:18Z-
dc.date.issued2015-
dc.identifier.citationCurmi, F., Ferrario, M. A., Whittle, J., & Mueller, F. (2015). Crowdsourcing synchronous spectator support: (go on, go on, you're the best)n-1. 33rd Annual ACM Conference on Human Factors in Computing Systems SIGCHI, 757-766. Seoulen_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/103081-
dc.description.abstractMany 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.en_GB
dc.language.isoenen_GB
dc.publisherAssociation for Computing Machinery (ACM)en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectCrowdsourcingen_GB
dc.subjectSports spectatorsen_GB
dc.subjectSocial networks -- Case studiesen_GB
dc.subjectSportsen_GB
dc.subjectBroadcast journalismen_GB
dc.subjectCheersen_GB
dc.subjectHuman behavioren_GB
dc.titleCrowdsourcing synchronous spectator support : (go on, go on, you're the best) n-1en_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename33rd Annual ACM Conference on Human Factors in Computing Systems SIGCHIen_GB
dc.bibliographicCitation.conferenceplaceSeoul, Republic of Korea. 18-23/04/2015.en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1145/2702123.2702338-
Appears in Collections:Scholarly Works - FacEMAMar

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