Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes

Minna Isomursu; Guido Giunti; Diego Giunta; Santiago Hors-Fraile; Diana  Karosevičiūtė

doi:10.1109/CBMS.2017.21

Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes

Minna Isomursu, Guido Giunti, Diego Giunta, Santiago Hors-Fraile, Diana Karosevičiūtė

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

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.

Original language	English
Title of host publication	30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Proceedings
Number of pages	6
Publisher	IEEE
Publication date	2017
ISBN (Electronic)	2372-9198
DOIs	https://doi.org/10.1109/CBMS.2017.21
Publication status	Published - 2017
Externally published	Yes
Event	30th IEEE International Symposium on Computer-Based Medical Systems - Thessaloniki Duration: 20 Jun 2017 → 24 Jun 2017 Conference number: 30

Conference

Conference	30th IEEE International Symposium on Computer-Based Medical Systems
Number	30
Location	Thessaloniki
Period	20/06/2017 → 24/06/2017

Keywords

Breast Cancer
Mobile Applications
Gamification
Health Informatics
Predictive Model

Access to Document

10.1109/CBMS.2017.21

1705.03228Accepted author manuscript, 677 KB

https://arxiv.org/pdf/1705.03228.pdf

Cite this

@inproceedings{1d7f23dad7cf4dfea09a936a5abba06b,

title = "Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes",

abstract = "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{\textquoteright} title and description text available in app stores. Model was validated comparingestimated and benchmark values, observed by gamification specialists. Study{\textquoteright}s outcome can be applied as a screening tool to efficiently identify gamification presence in breast cancerapps for further research. ",

keywords = "Breast Cancer, Mobile Applications, Gamification, Health Informatics, Predictive Model, Breast Cancer, Mobile Applications, Gamification, Health Informatics, Predictive Model",

author = "Minna Isomursu and Guido Giunti and Diego Giunta and Santiago Hors-Fraile and Diana Karosevi{\v c}iūtė",

year = "2017",

doi = "10.1109/CBMS.2017.21",

language = "English",

booktitle = "30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Proceedings",

publisher = "IEEE",

address = "United States",

note = "30th IEEE International Symposium on Computer-Based Medical Systems ; Conference date: 20-06-2017 Through 24-06-2017",

}

Isomursu, M, Giunti, G, Giunta, D, Hors-Fraile, S & Karosevičiūtė , D 2017, Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes. in 30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Proceedings. IEEE, 30th IEEE International Symposium on Computer-Based Medical Systems, 20/06/2017. https://doi.org/10.1109/CBMS.2017.21

Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes. / Isomursu, Minna; Giunti, Guido; Giunta, Diego et al.
30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Proceedings. IEEE, 2017.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

TY - GEN

T1 - Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes

AU - Isomursu, Minna

AU - Giunti, Guido

AU - Giunta, Diego

AU - Hors-Fraile, Santiago

AU - Karosevičiūtė , Diana

N1 - Conference code: 30

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AB - 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 comparingestimated and benchmark values, observed by gamification specialists. Study’s outcome can be applied as a screening tool to efficiently identify gamification presence in breast cancerapps for further research.

KW - Breast Cancer

KW - Mobile Applications

KW - Gamification

KW - Health Informatics

KW - Predictive Model

KW - Breast Cancer

KW - Mobile Applications

KW - Gamification

KW - Health Informatics

KW - Predictive Model

U2 - 10.1109/CBMS.2017.21

DO - 10.1109/CBMS.2017.21

M3 - Article in proceedings

BT - 30th IEEE International Symposium on Computer-Based Medical Systems - IEEE CBMS 2017, Proceedings

PB - IEEE

T2 - 30th IEEE International Symposium on Computer-Based Medical Systems

Y2 - 20 June 2017 through 24 June 2017

ER -

Detecting Gamification in Breast Cancer Apps: an automatic methodology for screening purposes

Abstract

Conference

Keywords

Access to Document

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Cite this