The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis-Reference-Cited by-同舟云学术

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The effect of fixed physical usage patterns on the engagement of physical activity apps: a real-world data analysis

Published:2022-12-21 Issue: Volume: Page:1-14
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Ma Lin¹²,Zhao Xi¹²,Zhou Zhili¹³

Affiliation:

1. School of Management, Xi’an Jiaotong University, Xi’an, People’s Republic of China

2. The key Lab of the Ministry of Education for process control& Efficiency Engineering, Xi’an, People’s Republic of China

3. State key Laboratory for Manufacturing Systems Engineering, Xi’an, People’s Republic of China

Funder

National Natural Science Foundation of China

Shaanxi Provincial Development and Reform Commission

the Scholarship from China Scholarship Council

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2022.2159875

Reference53 articles.

1. Large-scale physical activity data reveal worldwide activity inequality

2. Azhar, F. A. Bin, and J. S. Dhillon. 2016. A Systematic Review of Factors Influencing the Effective Use of mHealth Apps for Self-care. 2016 3rd International Conference on Computer & Information Sciences (ICCOINS), 191. https://doi.org/10.1109/ICCOINS.2016.7783213.

3. The Early Bird Gets the Worm! Congruency Between Intentions and Behavior is Highest When Plans to Exercise are Made for the Morning

4. Social cognitive theory of self-regulation

5. Health Promotion by Social Cognitive Means

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