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DESIGN FOR POSITIVE BREAST SELF-EXAM EXPERIENCE USING MOBILE APPS

Published online by Cambridge University Press:  27 July 2021

Aylin Karadeniz Küçük  and
Bahar Şener
Aylin Karadeniz Küçük*
Affiliation:
Middle East Technical University
Bahar Şener
Affiliation:
Middle East Technical University
*
Karadeniz Küçük, Aylin, Middle East Technical University, Industrial Design, Turkey, [email protected]

Abstract

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Breast cancer is one of the most common cancer types among women, accountable for approximately 2.2 million new cases and 684,996 deaths globally in 2020. There are various screening methods to detect cancer early, and experts suggest that women should perform breast self-examination (BSE) once a month. Unfortunately, most women fail to do so even if they are aware of the risks and the importance of screening methods. The aim of this paper is to understand women's current behavior and experience with BSE and mobile BSE apps and to suggest several design dimensions for positive mobile BSE app experience by benefiting from positive technology. With this aim, three selected mobile BSE apps were used by a total of 24 participants for four weeks. A three-phase study was carried out to uncover women’s pre- during-, and post-usage experiences of BSE apps. The analysis revealed six headings under two themes: strategies, limitations, and emotions under BSE theme; and the needs, limitations, and benefits under Mobile Apps theme. Consequently, based on the findings, suggestions for design dimensions for BSE apps to better meet women’s needs by benefiting from levels of positive technology are made.

Keywords

Experience designTechnologyUser centred designBreast Self-Exam, BSE Apps
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 1013 - 1022
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

References

Al-Azmy, S.F., Alkhabbaz, A., Almutawa, H.A., Ismaiel, A.E., Makboul, G. and El-Shazly, M.K., 2013. Practicing breast self-examination among women attending primary health care in Kuwait. Alexandria Journal of Medicine, 49(3), pp.281-286.CrossRefGoogle Scholar
Bender, J.L., Yue, R.Y.K., To, M.J., Deacken, L. and Jadad, A.R., 2013. A lot of action, but not in the right direction: systematic review and content analysis of smartphone applications for the prevention, detection, and management of cancer. Journal of medical Internet research, 15(12), p.e287.CrossRefGoogle Scholar
Bogdan, R. and Biklen, S.K., 1997. Qualitative research for education. Boston, MA: Allyn & Bacon.Google Scholar
Bolier, L., & Abello, K. M. (2014). State of the art and future directions. Wiley-Blackwell Handb. Posit. Psychol. Interv. Wiley Blackwell: Chichester, West Sussex, 286-309.Google Scholar
Botella, C., Riva, G., Gaggioli, A., Wiederhold, B.K., Alcaniz, M. and Banos, R.M., 2012. The present and future of positive technologies. Cyberpsychology, Behavior, and Social Networking, 15(2), pp.78-84.CrossRefGoogle ScholarPubMed
Downey, L., 2015. Well-being technologies: Meditation using virtual worlds.Google Scholar
Fogg, B.J., 2009, April. A behavior model for persuasive design. In Proceedings of the 4th international Conference on Persuasive Technology (pp. 1-7).CrossRefGoogle Scholar
Gaggioli, Andrea, Riva, Giuseppe, Peters, Dorian, and Calvo, Rafael A.. “Positive technology, computing, and design: shaping a future in which technology promotes psychological well-being.” In Emotions and affect in human factors and human-computer interaction, pp. 477-502. Academic Press, 2017.CrossRefGoogle Scholar
Giunti, G., Giunta, D.H., Guisado-Fernandez, E., Bender, J.L. and Fernández-Luque, L., 2018. A biopsy of Breast Cancer mobile applications: state of the practice review. International journal of medical informatics, 110, pp.1-9.CrossRefGoogle ScholarPubMed
Houghton, L.C., Howland, R.E. and McDonald, J.A., 2019. Mobilizing breast cancer prevention research through smartphone apps: a systematic review of the literature. Frontiers in public health, 7, p.298.CrossRefGoogle ScholarPubMed
Agency, IARC: International for Research on Cancer (2020) Cancer Today. Retrieved from https://gco.iarc.fr/today/online-analysis-multi-barsGoogle Scholar
Kaptein, M., De Ruyter, B., Markopoulos, P. and Aarts, E., 2012. Adaptive persuasive systems: a study of tailored persuasive text messages to reduce snacking. ACM Transactions on Interactive Intelligent Systems (TiiS), 2(2), pp.1-25.CrossRefGoogle Scholar
Kissal, A. and Beser, A., 2011. Knowledge, facilitators and perceived barriers for early detection of breast cancer among elderly Turkish women. Asian Pac J Cancer Prev, 12(4), pp.975-984.Google ScholarPubMed
Lilley, D., 2009. Design for sustainable behaviour: strategies and perceptions. Design Studies, 30(6), pp.704-720.CrossRefGoogle Scholar
Lockton, D., Harrison, D. and Stanton, N.A., 2010. The Design with Intent Method: A design tool for influencing user behaviour. Applied ergonomics, 41(3), pp.382-392.CrossRefGoogle ScholarPubMed
McDowell, I., 2006. Measuring health: a guide to rating scales and questionnaires. Oxford University Press, USA.CrossRefGoogle Scholar
McKay, F.H., Cheng, C., Wright, A., Shill, J., Stephens, H. and Uccellini, M., 2018. Evaluating mobile phone applications for health behaviour change: a systematic review. Journal of telemedicine and telecare, 24(1), pp.22-30.CrossRefGoogle ScholarPubMed
Misovich, S.J., Martinez, T., Fisher, J.D., Bryan, A. and Catapano, N., 2003. Predicting Breast Self-Examination: A Test of the Information-Motivation-Behavioral Skills Model 1. Journal of Applied Social Psychology, 33(4), pp.775-790.CrossRefGoogle Scholar
Özkan, İ. and Taylan, S., 2020. Barriers to women's breast cancer screening behaviors in several countries: A meta-synthesis study. Health Care for Women International, pp.1-31.Google Scholar
Ribeiro, N., Moreira, L., Almeida, A.M. and Santos-Silva, F., 2016. Happy: cancer prevention using smartphones. Procedia Computer Science, 100, pp.466-473.CrossRefGoogle Scholar
Ribeiro, N., Moreira, L., Almeida, A.M.P. and Santos-Silva, F., 2017. Pilot study of a smartphone-based intervention to promote cancer prevention behaviours. International journal of medical informatics, 108, pp.125-133.CrossRefGoogle ScholarPubMed
Riva, G. and Gaggioli, A., 2015. 3 Positive Change and Positive Technology. In Enabling Positive Change (pp. 39-52). Sciendo Migration.CrossRefGoogle Scholar
Watson, D., Clark, L.A. and Tellegen, A., 1988. Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of personality and social psychology, 54(6), p.1063.CrossRefGoogle ScholarPubMed
Yang, R.J., Huang, L.H., Hsieh, Y.S., Chung, U.L., Huang, C.S. and Bih, H.D., 2010. Motivations and reasons for women attending a breast self-examination training program: a qualitative study. BMC women's health, 10(1), pp.1-11.CrossRefGoogle ScholarPubMed