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  • 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

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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

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Crowdsourcing synchronous spectator support : (go on, go on, you're the best)n-1. / Curmi, Franco; Ferrario, Maria Angela; Whittle, Jon et al.

CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York : ACM, 2015. p. 757-766.

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

Harvard

Curmi, F, Ferrario, MA, Whittle, J & Mueller, F 2015, Crowdsourcing synchronous spectator support: (go on, go on, you're the best)n-1. in CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, New York, pp. 757-766, CHI'15, Seoul, Korea, Republic of, 18/04/15. https://doi.org/10.1145/2702123.2702338

APA

Curmi, F., Ferrario, M. A., Whittle, J., & Mueller, F. (2015). Crowdsourcing synchronous spectator support: (go on, go on, you're the best)n-1. In CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 757-766). ACM. https://doi.org/10.1145/2702123.2702338

Vancouver

Curmi F, Ferrario MA, Whittle J, Mueller F. Crowdsourcing synchronous spectator support: (go on, go on, you're the best)n-1. In CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York: ACM. 2015. p. 757-766 doi: 10.1145/2702123.2702338

Author

Curmi, Franco ; Ferrario, Maria Angela ; Whittle, Jon et al. / Crowdsourcing synchronous spectator support : (go on, go on, you're the best)n-1. CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. New York : ACM, 2015. pp. 757-766

Bibtex

@inproceedings{4d687f18130d46c19df1733a0144de70,
title = "Crowdsourcing synchronous spectator support: (go on, go on, you're the best)n-1",
abstract = "Many studies have shown that crowd-support, such as cheering during sport events, can have a positive impact on athletes{\textquoteright} 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.",
keywords = "crowdsourcing, sport, spectator, social support, cheer, cheering, remote support, ubiquitous computing, crowd behaviour, telemetry, physiological, sensors, mobile computing, mobile commuications, in-the-wild",
author = "Franco Curmi and Ferrario, {Maria Angela} and Jon Whittle and Florian Mueller",
note = "{\textcopyright} 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; CHI'15 ; Conference date: 18-04-2015 Through 23-04-2015",
year = "2015",
doi = "10.1145/2702123.2702338",
language = "English",
isbn = "9781450331456",
pages = "757--766",
booktitle = "CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Crowdsourcing synchronous spectator support

T2 - CHI'15

AU - Curmi, Franco

AU - Ferrario, Maria Angela

AU - Whittle, Jon

AU - Mueller, Florian

N1 - © 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

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - crowdsourcing

KW - sport

KW - spectator

KW - social support

KW - cheer

KW - cheering

KW - remote support

KW - ubiquitous computing

KW - crowd behaviour

KW - telemetry

KW - physiological

KW - sensors

KW - mobile computing

KW - mobile commuications

KW - in-the-wild

U2 - 10.1145/2702123.2702338

DO - 10.1145/2702123.2702338

M3 - Conference contribution/Paper

SN - 9781450331456

SP - 757

EP - 766

BT - CHI'15 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

Y2 - 18 April 2015 through 23 April 2015

ER -