Breast cancer is the most common cancer in women both in developed and developing countries. More than half of all cancer mobile application concern breast cancer. Gamification is widely used in mobile software applications created for health-related services. Current prevalence of gamification in breast cancer apps is unknown and detection must be manually performed. The purpose of this study is to describe and produce a tool allowing automatic detection of apps which contain gamification elements and thus empowering researchers to study gamification using large data samples. Predictive logistic regression model was designed on data extracted from breast cancer apps' title and description text available in app stores. Model was validated comparing estimated and benchmark values, observed by gamification specialists. Study's outcome can be applied as a screening tool to efficiently identify gamification presence in breast cancer apps for further research.
@article{arxiv.1705.03228,
title = {Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes},
author = {Guido Giunti and Diego H Giunta and Santiago Hors-Fraile and Minna Isomursu and Diana Karoseviciute},
journal= {arXiv preprint arXiv:1705.03228},
year = {2017}
}
Comments
Article submitted to the 30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Thessaloniki, Greece. 6 pages, 2 figures, 5 tables