Evaluating the User Experience of Type 1 Diabetes Control Applications
Resumo
Type 1 diabetes is a chronic condition that affects millions of people around the world. For those, facing daily challenges is a reality, from constantly monitoring blood glucose levels to administering adequate doses of insulin. With the advances in E-Health technology and the improvement of ubiquitous applications and systems, new solutions are emerging to help people in their diabetes control, such as devices that send blood glucose levels via bluetooth to the control app, and subcutaneous sensors that are applied to the arm and monitor the blood glucose levels constantly. Despite the practicality that these systems present, their applications have scores below 3.5 stars on their respective platforms, showing dissatisfaction on part of its users. This article aims to evaluate the user experience of the apps G-Tech App and FreeStyle Libre. Both are ubiquitous applications for control of type 1 diabetes, although they have a different approach. For this, the extended MALTU evaluation was used and a bibliographical research was carried out. The evaluation consists of analyzing users' spontaneous comments on social systems, such as Play Store and App Store. The results revealed problems that hinder the user's interaction with the application, mainly regarding synchronization and functionalities.
Palavras-chave:
E-Health, Ubiquitous Systems, User Experience, Type 1 Diabetes
Referências
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Jéssica Muzy, Mônica Rodrigues Campos, Isabel Emmerick, Raulino Sabino da Silva, and Joyce Mendes de Andrade Schramm. 2021. Prevalência de diabetes mellitus e suas complicações e caracterização das lacunas na atenção à saúde a partir da triangulação de pesquisas. Cadernos de Saúde Pública 37 (2021).
M. M. Neto, E. Coutinho, L. Moreira, and G. Santos. 2017. Feed: a forecast evaluation of elasticity cloud data. In 7th WORKSHOP ON AUTONOMIC DISTRIBUTED SYSTEMS (WoSiDA2017).
M. M. Neto, J. N. de Souza, A. R. da Rocha, E. F. Coutinho, and L. O. Moreira. 2017. Miner: an approach for management of iot elements in a cloud using software defined network. In 5th International Workshop on ADVANCEs in ICT INfrastructures and Services (ADVANCE 2017).
Lívia Barqueta Orozco and Sergio Henrique de Souza Alves. 2017. Diferenças do autocuidado entre pacientes com diabetes mellitus tipo 1 e 2. Psicologia, Saúde e Doenças 18, 1 (2017), 234–247.
Sabrina Rocha de Souza, Maria Alcimar Meireles, José Carlos Duarte, Jose Carlos Maldonado, and Tayana Conte. 2022. Design for IoT: An Experimental Study to Understand How Design Thinking Can Help in the Elicitation of Requirements for IoT Systems. In Proceedings of the XXI Brazilian Symposium on Software Quality. 1–10.
Weibin Zhou, Min Chen, Jingyun Yuan, and Yan Sun. 2016. Welltang – A smart phone-based diabetes management application – Improves blood glucose control in Chinese people with diabetes. Diabetes Research and Clinical Practice 116 (2016), 105–110. DOI: 10.1016/j.diabres.2016.03.018
Joseph A Cafazzo, Mark Casselman, Nathaniel Hamming, Debra K Katzman, and Mark R Palmert. 2012. Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study. Journal of medical Internet research 14, 3 (2012), e2058.
José Cezar de Souza Filho, Marcos Randel Freitas Brito, Antonio Raimundo Rocha Mendonça, Marcos Vitor Martins, and Andréia Libório Sampaio. 2018. Hidrate Spark: Avaliando um Sistema Ubíquo para Motivar a Ingestão de Água. In Anais Estendidos do XVII Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais (Belém). SBC, Porto Alegre, RS, Brasil. DOI: 10.5753/ihc.2018.4204
Peyman Emamian and Juan Li. 2017. SimpleHealth — A mobile cloud platform to support lightweight mobile health applications for low-end cellphones. In 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom). 1–6. DOI: 10.1109/HealthCom.2017.8210759
Carlos Eduardo Almeida Feitosa. 2022. Estendendo o modelo maltu para a avaliação da usabilidade e experiência do usuário em sistemas ubíquos. Monografia (Bacharelado em Design Digital), UFC (Universidade Federal do Ceará), Quixadá, Brasil.
HIMSS. 2019. HIMSS - Healthcare Information and Management Systems Society| HIMSS. [link]
Bronte Jeffrey, Melina Bagala, Ashley Creighton, Tayla Leavey, Sarah Nicholls, Crystal Wood, Jo Longman, Jane Barker, and Sabrina Pit. 2019. Mobile phone applications and their use in the self-management of Type 2 Diabetes Mellitus: a qualitative study among app users and non-app users. (2019), 5–12.
Hammad Khalid, Emad Shihab, Meiyappan Nagappan, and Ahmed E. Hassan. 2015. What Do Mobile App Users Complain About?IEEE Software 32, 3 (2015), 70–77. DOI: 10.1109/MS.2014.50
Jie Lin, Wei Yu, Nan Zhang, Xinyu Yang, Hanlin Zhang, and Wei Zhao. 2017. A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications. IEEE Internet of Things Journal 4, 5 (2017), 1125–1142. DOI: 10.1109/JIOT.2017.2683200
Marília S. Mendes. 2015. MALTU - Um modelo para avaliação da interação em sistemas sociais a partir da linguagem textual do usuário. Dissertação (Doutorado em Ciência da Computação), UFC (Universidade Federal do Ceará), Fortaleza, Brasil.
Jéssica Muzy, Mônica Rodrigues Campos, Isabel Emmerick, Raulino Sabino da Silva, and Joyce Mendes de Andrade Schramm. 2021. Prevalência de diabetes mellitus e suas complicações e caracterização das lacunas na atenção à saúde a partir da triangulação de pesquisas. Cadernos de Saúde Pública 37 (2021).
M. M. Neto, E. Coutinho, L. Moreira, and G. Santos. 2017. Feed: a forecast evaluation of elasticity cloud data. In 7th WORKSHOP ON AUTONOMIC DISTRIBUTED SYSTEMS (WoSiDA2017).
M. M. Neto, J. N. de Souza, A. R. da Rocha, E. F. Coutinho, and L. O. Moreira. 2017. Miner: an approach for management of iot elements in a cloud using software defined network. In 5th International Workshop on ADVANCEs in ICT INfrastructures and Services (ADVANCE 2017).
Lívia Barqueta Orozco and Sergio Henrique de Souza Alves. 2017. Diferenças do autocuidado entre pacientes com diabetes mellitus tipo 1 e 2. Psicologia, Saúde e Doenças 18, 1 (2017), 234–247.
Sabrina Rocha de Souza, Maria Alcimar Meireles, José Carlos Duarte, Jose Carlos Maldonado, and Tayana Conte. 2022. Design for IoT: An Experimental Study to Understand How Design Thinking Can Help in the Elicitation of Requirements for IoT Systems. In Proceedings of the XXI Brazilian Symposium on Software Quality. 1–10.
Weibin Zhou, Min Chen, Jingyun Yuan, and Yan Sun. 2016. Welltang – A smart phone-based diabetes management application – Improves blood glucose control in Chinese people with diabetes. Diabetes Research and Clinical Practice 116 (2016), 105–110. DOI: 10.1016/j.diabres.2016.03.018
Publicado
16/10/2023
Como Citar
MOREIRA, Francisco; COUTINHO, Emanuel.
Evaluating the User Experience of Type 1 Diabetes Control Applications. In: SIMPÓSIO BRASILEIRO SOBRE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 22. , 2023, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
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