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
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
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 -