Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes

Guido Giunti; Diego H. Giunta; Santiago Hors-Fraile; Minna Isomursu; Diana Karoseviciute

doi:10.1109/CBMS.2017.21

Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes

Guido Giunti, Diego H. Giunta, Santiago Hors-Fraile, Minna Isomursu, Diana Karoseviciute

Applied Ergonomics and Design

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

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. Studys 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	Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
Editors	Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	654-659
Number of pages	6
ISBN (Electronic)	9781538617106
DOIs	https://doi.org/10.1109/CBMS.2017.21
Publication status	Published - 10 Nov 2017
Event	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 - Thessaloniki, Greece Duration: 22 Jun 2017 → 24 Jun 2017

Publication series

Name	Proceedings - IEEE Symposium on Computer-Based Medical Systems
Volume	2017-June
ISSN (Print)	1063-7125

Conference

Conference	30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Country/Territory	Greece
City	Thessaloniki
Period	22/06/17 → 24/06/17

Bibliographical note

Funding Information:
ACKNOWLEDGMENT Guido Giunti gratefully acknowledges the grant number 676201 for the Connected Health Early Stage researcher Support System (CHESS ITN) from the Horizon 2020 Program of the European Commission.

Publisher Copyright:
© 2017 IEEE.

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

Keywords

breast cancer
gamification
health apps
medical apps
medical informatics
mHealth
predictive models

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CBMS.2017.21

Cite this

Giunti, G., Giunta, D. H., Hors-Fraile, S., Isomursu, M., & Karoseviciute, D. (2017). Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes. In P. D. Bamidis, S. T. Konstantinidis, & P. P. Rodrigues (Eds.), Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017 (pp. 654-659). [8104273] (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2017-June). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CBMS.2017.21

Giunti, Guido ; Giunta, Diego H. ; Hors-Fraile, Santiago ; Isomursu, Minna ; Karoseviciute, Diana. / Detecting Gamification in Breast Cancer Apps : An Automatic Methodology for Screening Purposes. Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. editor / Panagiotis D. Bamidis ; Stathis Th. Konstantinidis ; Pedro Pereira Rodrigues. Institute of Electrical and Electronics Engineers (IEEE), 2017. pp. 654-659 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

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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 title and description text available in app stores. Model was validated comparing estimated and benchmark values, observed by gamification specialists. Studys outcome can be applied as a screening tool to efficiently identify gamification presence in breast cancer apps for further research.",

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author = "Guido Giunti and Giunta, {Diego H.} and Santiago Hors-Fraile and Minna Isomursu and Diana Karoseviciute",

note = "Funding Information: ACKNOWLEDGMENT Guido Giunti gratefully acknowledges the grant number 676201 for the Connected Health Early Stage researcher Support System (CHESS ITN) from the Horizon 2020 Program of the European Commission. Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.; 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017 ; Conference date: 22-06-2017 Through 24-06-2017",

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Giunti, G, Giunta, DH, Hors-Fraile, S, Isomursu, M & Karoseviciute, D 2017, Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes. in PD Bamidis, ST Konstantinidis & PP Rodrigues (eds), Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017., 8104273, Proceedings - IEEE Symposium on Computer-Based Medical Systems, vol. 2017-June, Institute of Electrical and Electronics Engineers (IEEE), pp. 654-659, 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017, Thessaloniki, Greece, 22/06/17. https://doi.org/10.1109/CBMS.2017.21

Detecting Gamification in Breast Cancer Apps : An Automatic Methodology for Screening Purposes. / Giunti, Guido; Giunta, Diego H.; Hors-Fraile, Santiago; Isomursu, Minna; Karoseviciute, Diana.

Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. ed. / Panagiotis D. Bamidis; Stathis Th. Konstantinidis; Pedro Pereira Rodrigues. Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 654-659 8104273 (Proceedings - IEEE Symposium on Computer-Based Medical Systems; Vol. 2017-June).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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N1 - Funding Information: ACKNOWLEDGMENT Guido Giunti gratefully acknowledges the grant number 676201 for the Connected Health Early Stage researcher Support System (CHESS ITN) from the Horizon 2020 Program of the European Commission. Publisher Copyright: © 2017 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

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Giunti G, Giunta DH, Hors-Fraile S, Isomursu M, Karoseviciute D. Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes. In Bamidis PD, Konstantinidis ST, Rodrigues PP, editors, Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017. Institute of Electrical and Electronics Engineers (IEEE). 2017. p. 654-659. 8104273. (Proceedings - IEEE Symposium on Computer-Based Medical Systems). https://doi.org/10.1109/CBMS.2017.21

Detecting Gamification in Breast Cancer Apps: An Automatic Methodology for Screening Purposes

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

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