@inproceedings{85af63e9df1c408f9d79fe39118015d9,
title = "Exploring behavior change features for mobile workout applications",
abstract = "With the rapid emergence of mobile technologies in recent years, mobile health (m-health) has become fundamental to healthcare. Persuasion strategies and behavior change support features are widely used in m-health applications to increase the effectiveness of these applications on users. However, in the literature, there is a lack of research to analyze the current situation of m-health applications particularly from the perspective of behavior change approaches. In this study, the workout applications in the health and fitness category of Google Play store were selected and explored in terms of the relation of the features with the number of downloads and rating statistics obtained from the store. The findings are expected to be a guideline for application developers in order for m-health applications to be more effective in changing users{\textquoteright} behaviors to lead a healthy life.",
keywords = "Behavior change, Mobile applications, Mobile health",
author = "Perin {\"U}nal and Cavdar, {Seyma Kucukozer} and Temizel, {Tuğba Ta{\c s}kaya} and Eren, {P. Erhan} and Sriram Iyengar",
note = "Publisher Copyright: {\textcopyright} 2017, Springer International Publishing AG.; 14th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2017 ; Conference date: 21-08-2017 Through 23-08-2017",
year = "2017",
doi = "10.1007/978-3-319-65515-4_4",
language = "English (US)",
isbn = "9783319655147",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "45--53",
editor = "Irfan Awan and Irena Holubova and Muhammad Younas",
booktitle = "Mobile Web and Intelligent Information Systems - 14th International Conference, MobiWIS 2017, Proceedings",
}