Evaluation Method of Mobile Health Apps for the Elderly
DOI:
https://doi.org/10.32628/CSEIT206469Keywords:
User Interface Design, Mobile Application, Elderly PeopleAbstract
Mobile health apps usually have a user interface that is difficult for elderly users to understand. With the increase in the number of elder users using applications on mobile phone, research on this area is important to do. This research aim is to present comprehensive review of mobile application evaluation for the elderly. The research methodology adapted PRISMA method to find and review relevance research articles in order to reach research goal. Based on literature study, we found three methods or models that have been applied for elderly user usability evaluation, including usability heuristics, system usability scale and technology acceptance model.
References
- D. Fitrianah, A. N. Hidayanto, R. A. Zen, and A. M. Arymurthy, “APDATI: E-Fishing Logbook for Integrated Tuna Fishing Data Management,” J. Theor. Appl. Inf. Technol., vol. 75, no. 2, 2015.
- F. J. García-Peñalvo, M. Á. Conde, and V. Matellán-Olivera, “Mobile apps for older users - The development of a mobile apps repository for older people,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8524 LNCS, no. PART 2, pp. 117–126, 2014.
- Y. G. Sucahyo, Y. Y. Rotinsulu, A. N. Hidayanto, D. Fitrianah, and K. Phusavat, “Software as a service quality factors evaluation using analytic hierarchy process,” Int. J. Bus. Inf. Syst., vol. 24, no. 1, pp. 51–68, 2017.
- H. Noprisson, E. Hidayat, and N. Zulkarnaim, “A Preliminary Study of Modelling Interconnected Systems Initiatives for Preserving Indigenous Knowledge in Indonesia,” in 2015 International Conference on Information Technology Systems and Innovation (ICITSI), 2015, pp. 1–6.
- H. Noprisson, N. Husin, M. Utami, Puji Rahayu, Y. G. Sucahyo, and D. I. Sensuse, “The Use of a Mixed Method Approach to Evaluate m-Government Implementation,” in 2016 International Conference on Information Technology Systems and Innovation (ICITSI), 2016.
- E. Hidayat, Lukman, H. Noprisson, D. I. Sensuse, Y. G. Sucahyo, and E. D. Putra, “Development of mobile application for documenting traditional knowledge in Indonesia: A Case Study of Traditional Knowledge in Using Medicinal Plant,” in Proceedings - 14th IEEE Student Conference on Research and Development: Advancing Technology for Humanity, SCOReD 2016, 2017.
- T. Wen, P. Cheng, and P. Chang, “Evaluate the Usability of the Mobile Instant Messaging Software in the Elderly,” Stud. Health Technol. Inform., no. 245, pp. 818–822, 2017.
- S. MacIs et al., “Design and Usability Assessment of a Multi-Device SOA-Based Telecare Framework for the Elderly,” IEEE J. Biomed. Heal. Informatics, vol. 24, no. 1, pp. 268–279, 2020.
- Y. Ling, L. P. Ter Meer, Z. Yumak, and R. C. Veltkamp, “Usability Test of Exercise Games Designed for Rehabilitation of Elderly Patients After Hip Replacement Surgery: Pilot Study,” JMIR Serious Games, vol. 5, no. 4, p. e19, 2017.
- H. M. Salman, W. F. Wan Ahmad, and S. Sulaiman, “Usability Evaluation of the Smartphone User Interface in Supporting Elderly Users from Experts’ Perspective,” IEEE Access, vol. 6, pp. 22578–22591, 2018.
- S. Caro-Alvaro, E. Garcia-Lopez, A. Garcia-Cabot, L. De-Marcos, and J. M. Gutierrez-Martinez, “A Systematic Evaluation of Mobile Applications for Instant Messaging on iOS Devices,” Mob. Inf. Syst., pp. 1–17, 2017.
- S. L. Lim, P. J. Bentley, N. Kanakam, F. Ishikawa, and S. Honiden, “Investigating country differences in mobile app user behavior and challenges for software engineering,” IEEE Trans. Softw. Eng., vol. 41, no. 1, pp. 40–64, 2015.
- K.-W. Hsu, “Efficiently and Effectively Mining Time-Constrained Sequential Patterns of Smartphone Application Usage,” Mob. Inf. Syst., 2017.
- J. Graham, “‘Elderly’ No More. The New Old Age - Caring and Coping,” The New York Times, 2012.
- World-Health-Organization, “Project on Minimum Data Set for Ageing in Africa,” 2002.
- B. Schneider and M. K. Pichora-Fuller, “Implications of sensory deficits for cognitive aging,” in The Handbook of Aging and Cognition, Mahwah: Lawrence Erlbaum Associates, 2000, pp. 155–219.
- E. D. Mynatt and W. A. Rogers, “Developing technology to support the functional independence of older adults,” Ageing Int., vol. 27, no. 1, pp. 24–41, 2001.
- M. Isaković, U. Sedlar, M. Volk, and J. Bešter, “Usability pitfalls of diabetes mHealth apps for the elderly,” J. Diabetes Res., vol. 16, pp. 1–9, 2016.
- Liberati et al., “The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration,” J. Clin. Epidemiol., vol. 62, no. 10, pp. e1-34, 2009.
- D. Moher, A. Liberati, J. Tetzlaff, and D. G. Altman, “Systematic Reviews and Meta-Analyses: The PRISMA Statement,” Annu. Intern. Med., vol. 151, no. 4, pp. 264–269, 2009.
- R. Mohamed, M. Ghazali, and M. A. Samsudin, “A Systematic Review on Mathematical Language Learning Using PRISMA in Scopus Database,” Eurasia J. Math. Sci. Technol. Educ., vol. 16, no. 8, p. em1868, 2020.
- G. Jia et al., “Integration of user centered design in the development of health monitoring system for elderly,” in 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, pp. 1748–1751.
- Pyae et al., “Lessons Learned from Two Usability Studies of Digital Skiing Game with Elderly People in Finland and Japan,” Int. J. Serious Games, vol. 16, no. 2, pp. 84–99, 2017.
- ALsswey, I. N. Bin Umar, and B. Bervell, “Investigating the acceptance of mobile health application user interface cultural-based design to assist Arab elderly users,” Int. J. Adv. Comput. Sci. Appl., vol. 9, no. 8, pp. 144–152, 2018.
- J. G. Marin, E. Lawrence, K. F. Navarro, and C. Sax, “Heuristic evaluation for interactive games within elderly users,” in Proceedings of the 3rd International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED’11), 2011, pp. 130–133.
- M. S. Al-Razgan, H. S. Al-Khalifa, and M. D. Al-Shahrani, “Heuristics for evaluating the usability of mobile launchers for elderly people,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 8517 LNCS, no. PART 1, pp. 415–424, 2014.
- H. M. Salman, W. F. W. Ahmad, and S. Sulaiman, “Heuristic evaluation of the smartphone applications in supporting elderly,” in International Conference of Reliable Information and Communication Technology, 2018, pp. 781–790.
- Hermawati and G. Lawson, “Establishing usability heuristics forheuristics evaluation in a specific domain: Is there a consensus?,” Appl. Ergon., vol. 56, pp. 34–51, 2016.
- Watkins, B. Kules, X. Yuan, and B. Xie, “Heuristic evaluation of healthyeating apps for older adults,” J. Consum. Heal. Internet, vol. 18, no. 2, pp. 105–127, 2014.
- P. A. Silva, K. Holden, and A. Nii, “Smartphones, smart seniors, but not-so-smart apps: A heuristic evaluation of fitness apps,” in Proc. Int. Conf. Augmented Cognition, 2014, pp. 347–358.
- R. Inostroza, C. Rusu, S. Roncagliolo, C. Jiménez, and V. Rusu, “Usability heuristics validation through empirical evidences: A touchscreen-based mobile devices proposal,” in Proc. 31st Int. Conf. Chilean Comput. Sci.Soc. (SCCC), 2012, pp. 60–68.
- Brooke, “SUS - A quick and dirty usability scale,” 1986.
- Bangor, P. T. Kortum, and J. T. Miller, “Determining what individual SUS scores mean: Adding an adjective rating scale,” J. Usability Stud., vol. 4, no. 3, pp. 114–123, 2009.
- T. Natarajan, S. A. Balasubramanian, and D. L. Kasilingam, “Understanding the intention to use mobile shopping applications and its influence on price sensitivity,” J. Retail. Consum. Serv., vol. 37, no. February, pp. 8–22, 2017.
- Shukla and S. K. Sharma, “Evaluating Consumers’ Adoption of Mobile Technology for Grocery Shopping: An Application of Technology Acceptance Model,” Vision, vol. 22, no. 2, pp. 185–198, 2018.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.