short-paper

Analysis of Motivation Strategies in Running Tracking Applications

Authors:

Christine Bauer,

Simone KriglsteinAuthors Info & Claims

MoMM 2015: Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia

Pages 73 - 79

https://doi.org/10.1145/2837126.2839316

Published: 11 December 2015 Publication History

Abstract

In the last years, a large number of sport and fitness applications for smartphones were developed for supporting a healthy lifestyle by not only encouraging people to follow a balanced diet but also to motivate them to engage in physical activities. In particular running applications received increasing attention in research in recent years. In this paper, we analyze fourteen commercial running tracking applications concerning their functionalities to identify which motivation strategies are supported and also to identify possible directions for future research. For this purpose we concentrate on the three most popular motivation strategies that are usually used for sport and fitness applications: music and audio feedback, visualization, as well as competition and comparison with others.

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Cited By

Krüger MCarros FBrandt Mde Castro Leal D(2023)Adapting Forests to an Uncertain ClimateProceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3588001.3609362(54-63)Online publication date: 16-Aug-2023
https://dl.acm.org/doi/10.1145/3588001.3609362
Gute DSchlögl SGroth A(2022)Keep on Running! An Analysis of Running Tracking Application Features and Their Potential Impact on Recreational Runner’s Intrinsic MotivationHuman-Computer Interaction. User Experience and Behavior10.1007/978-3-031-05412-9_25(359-373)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-05412-9_25
Menheere Dvan Hartingsveldt EBirkebæk MVos SLallemand C(2021)Laina: Dynamic Data Physicalization for Slow Exercising FeedbackProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462041(1015-1030)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462041

Index Terms

Analysis of Motivation Strategies in Running Tracking Applications
1. Human-centered computing

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MoMM 2015: Proceedings of the 13th International Conference on Advances in Mobile Computing and Multimedia

December 2015

422 pages

ISBN:9781450334938

DOI:10.1145/2837126

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Johannes Kepler University, Linz, Austria
@WAS: International Organization of Information Integration and Web-based Applications and Services

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 December 2015

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Austrian Federal Ministry of Science, Research, and Economy

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MoMM 2015

MoMM 2015: The 13th International Conference on Advances in Mobile Computing and Multimedia

December 11 - 13, 2015

Brussels, Belgium

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Cited By

Krüger MCarros FBrandt Mde Castro Leal D(2023)Adapting Forests to an Uncertain ClimateProceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies10.1145/3588001.3609362(54-63)Online publication date: 16-Aug-2023
https://dl.acm.org/doi/10.1145/3588001.3609362
Gute DSchlögl SGroth A(2022)Keep on Running! An Analysis of Running Tracking Application Features and Their Potential Impact on Recreational Runner’s Intrinsic MotivationHuman-Computer Interaction. User Experience and Behavior10.1007/978-3-031-05412-9_25(359-373)Online publication date: 16-Jun-2022
https://doi.org/10.1007/978-3-031-05412-9_25
Menheere Dvan Hartingsveldt EBirkebæk MVos SLallemand C(2021)Laina: Dynamic Data Physicalization for Slow Exercising FeedbackProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462041(1015-1030)Online publication date: 28-Jun-2021
https://dl.acm.org/doi/10.1145/3461778.3462041

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