research-article

Understanding the Shared Experience of Runners and Spectators in Long-Distance Running Events

Authors:

Nadia Bianchi-Berthouze,

Enrico CostanzaAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 461, Pages 1 - 13

https://doi.org/10.1145/3290605.3300691

Published: 02 May 2019 Publication History

Abstract

Increasingly popular, long-distance running events (LDRE) attract not just runners but an exponentially increasing number of spectators. Due to the long duration and broad geographic spread of such events, interactions between them are limited to brief moments when runners (R) pass by their supporting spectators (S). Current technology is limited in its potential for supporting interactions and mainly measures and displays basic running information to spectators who passively consume it. In this paper, we conducted qualitative studies for an in-depth understanding of the R&S' shared experience during LDRE and how technology can enrich this experience. We propose a two-layer DyPECS framework, highlighting the rich dynamics of the R&S multi-faceted running journey and of their micro-encounters. DyPECS is enriched by the findings from our in depth qualitative studies. We finally present design implications for the multi-facet co-experience of R&S during LDRE.

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Cited By

Elvitigala DKarahanoğlu AMatviienko ATurmo Vidal LPostma DJones MMontoya MHarrison DElbæk LDaiber FBurr LPatibanda RBuono PHämäläinen PVan Delden RBernhaupt RRen XVan Rheden VZambetta FVan Den Hoven ELallemand CReidsma DMueller F(2024)Grand Challenges in SportsHCIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642050(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642050
Wei Z(2024)Simulation of Artificial Intelligence Algorithm Based on Network Anomaly Detection and Wireless Sensor Network in Sports Cardiopulmonary Monitoring SystemMobile Networks and Applications10.1007/s11036-024-02409-6Online publication date: 28-Aug-2024
https://doi.org/10.1007/s11036-024-02409-6
Baldassarri SGarcía de Quirós JBeltrán JÁlvarez P(2023)Wearables and Machine Learning for Improving Runners’ Motivation from an Affective PerspectiveSensors10.3390/s2303160823:3(1608)Online publication date: 1-Feb-2023
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Index Terms

Understanding the Shared Experience of Runners and Spectators in Long-Distance Running Events
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
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Geraldine Fitzpatrick
TU Wien, Austria
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Program Chairs:
Anna Cox
University College London, UK
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Vassilis Kostakos
University of Melbourne, Australia

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Cited By

Elvitigala DKarahanoğlu AMatviienko ATurmo Vidal LPostma DJones MMontoya MHarrison DElbæk LDaiber FBurr LPatibanda RBuono PHämäläinen PVan Delden RBernhaupt RRen XVan Rheden VZambetta FVan Den Hoven ELallemand CReidsma DMueller F(2024)Grand Challenges in SportsHCIProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642050(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642050
Wei Z(2024)Simulation of Artificial Intelligence Algorithm Based on Network Anomaly Detection and Wireless Sensor Network in Sports Cardiopulmonary Monitoring SystemMobile Networks and Applications10.1007/s11036-024-02409-6Online publication date: 28-Aug-2024
https://doi.org/10.1007/s11036-024-02409-6
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