“Run forrest run!”

Measuring the impact of App-enabled performance and social feedback on running performance

Yash Babar, Jason Chan, Ben Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Exercise tracking apps are a novel, scalable, and affordable tool for delivering personalized behavioral interventions. While thousands of fitness tracking solutions emerge in the market, there is a lack of systematic research that quantify their effectiveness on exercise outcomes, making it hard for for practitioners and users to know the true value of these apps. Drawing on the literature on motivation literature, this paper elucidates the effects of app-enabled motivation on running performance. Specifically, this study examines the two most common forms of feedback available to users of exercise tracking apps, namely performance feedback and social feedback. We conducted a 18-month long randomized field experiment, with 1,241 military servicemen, to assess the causal effect of these feedback types on actual exercise outcomes. Results from the experiment provided evidence that these two app features improve the running times of the servicemen. We further discuss the temporality and hetoerogeneity of these effects.

Original languageEnglish (US)
Title of host publicationInternational Conference on Information Systems 2018, ICIS 2018
PublisherAssociation for Information Systems
ISBN (Electronic)9780996683173
StatePublished - Jan 1 2018
Event39th International Conference on Information Systems, ICIS 2018 - San Francisco, United States
Duration: Dec 13 2018Dec 16 2018

Publication series

NameInternational Conference on Information Systems 2018, ICIS 2018

Conference

Conference39th International Conference on Information Systems, ICIS 2018
CountryUnited States
CitySan Francisco
Period12/13/1812/16/18

Fingerprint

Application programs
Exercise
Feedback
performance
Randomized Experiments
Causal Effect
Field Experiment
experiment
fitness
Military
Fitness
Quantify
Experiments
lack
market
evidence
Experiment
Values
literature

Keywords

  • App effectiveness
  • Feature evaluation
  • Feedback
  • Field experiment
  • Usage impact

Cite this

Babar, Y., Chan, J., & Choi, B. (2018). “Run forrest run!”: Measuring the impact of App-enabled performance and social feedback on running performance. In International Conference on Information Systems 2018, ICIS 2018 (International Conference on Information Systems 2018, ICIS 2018). Association for Information Systems.

“Run forrest run!” : Measuring the impact of App-enabled performance and social feedback on running performance. / Babar, Yash; Chan, Jason; Choi, Ben.

International Conference on Information Systems 2018, ICIS 2018. Association for Information Systems, 2018. (International Conference on Information Systems 2018, ICIS 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Babar, Y, Chan, J & Choi, B 2018, “Run forrest run!”: Measuring the impact of App-enabled performance and social feedback on running performance. in International Conference on Information Systems 2018, ICIS 2018. International Conference on Information Systems 2018, ICIS 2018, Association for Information Systems, 39th International Conference on Information Systems, ICIS 2018, San Francisco, United States, 12/13/18.
Babar Y, Chan J, Choi B. “Run forrest run!”: Measuring the impact of App-enabled performance and social feedback on running performance. In International Conference on Information Systems 2018, ICIS 2018. Association for Information Systems. 2018. (International Conference on Information Systems 2018, ICIS 2018).
Babar, Yash ; Chan, Jason ; Choi, Ben. / “Run forrest run!” : Measuring the impact of App-enabled performance and social feedback on running performance. International Conference on Information Systems 2018, ICIS 2018. Association for Information Systems, 2018. (International Conference on Information Systems 2018, ICIS 2018).
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