Abstract
The rising prevalence of chronic conditions has fuelled the development of numerous devices and IoT systems to improve patients’ health outcomes. Despite the abundance of these solutions, their usability remains a significant challenge, hindering their adoption and effectiveness. This paper proposes a conceptual interaction design framework for IoT healthcare systems that prioritises the three critical components of usability: effectiveness, efficiency, and satisfaction. To develop the framework, we conducted a state of the art review and interviewed patients and health experts using the Design Sprint methodology. This resulted in the creation of three personas and their related user stories. Our framework consists of three main components: User Interfaces as Services, Context-Aware Interactions, and User-Centred Data Management. A hypothetical scenario of a digital companion for individuals with diabetes was used to demonstrate the feasibility of the framework. The results of the proposal underscore the importance of considering all stakeholders when designing IoT systems and highlight the potential for individuals to benefit from a more integrated and personalised experience.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Calvillo-Arbizu, J., Román-Martínez, I., Reina-Tosina, J.: Internet of things in health: requirements, issues, and gaps. Comput. Methods Programs Biomed. 208, 106231 (2021). https://doi.org/10.1016/j.cmpb.2021.106231
Campos-Nonato, I., Ramírez-Villalobos, M., Flores-Coria, A., Valdez, A., Monterrubio-Flores, E.: Prevalence of previously diagnosed diabetes and glycemic control strategies in Mexican adults: Ensanut-2016. PLOS ONE 15(4), 1–11 (2020). https://doi.org/10.1371/journal.pone.0230752
Chhiba, L., Marzak, A., Sidqui, M.: Quality attributes for evaluating IoT healthcare systems. In: Ben Ahmed, M., Boudhir, A.A., Karas, İR., Jain, V., Mellouli, S. (eds.) SCA 2021. LNNS, vol. 393, pp. 495–505. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-94191-8_40
Cohen, I.G., Mello, M.M.: HIPAA and protecting health information in the 21st Century. JAMA 320(3), 231–232 (2018). https://doi.org/10.1001/jama.2018.5630
Cohn, M.: User Stories Applied: For Agile Software Development. Addison-Wesley Professional, Boston (2004)
De Michele, R., Furini, M.: IoT healthcare: benefits, issues and challenges. In: Proceedings of the 5th EAI International Conference on Smart Objects and Technologies for Social Good. GoodTechs ’19, pp. 160–164. Association for Computing Machinery, Valencia (2019). https://doi.org/10.1145/3342428.3342693
Gutwin, C., Greenberg, S.: The mechanics of collaboration: developing low cost usability evaluation methods for shared workspaces. In: Proceedings IEEE 9th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE 2000), Gaithersburg, MD, USA, pp. 98–103 (2000). https://doi.org/10.1109/ENABL.2000.883711
Hossain, M.I., Yusof, A.F., Hussin, A.R.C., lahad, N.A., Sadiq, A.S.: Factors influencing adoption model of continuous glucose monitoring devices for internet of things healthcare. Internet Things 15, 100353 (2021). https://doi.org/10.1016/j.iot.2020.100353, https://www.sciencedirect.com/science/article/pii/S2542660520301840
Kashyap, V., Kumar, A., Kumar, A., Hu, Y.C.: A systematic survey on fog and IoT driven healthcare: open challenges and research issues. Electronics 11(17) (2022). https://doi.org/10.3390/electronics11172668
Keijzer-Broers, W.J.W., de Reuver, M.: Applying agile design sprint methods in action design research: prototyping a health and wellbeing platform. In: Parsons, J., Tuunanen, T., Venable, J., Donnellan, B., Helfert, M., Kenneally, J. (eds.) DESRIST 2016. LNCS, vol. 9661, pp. 68–80. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39294-3_5
Knapp, J., Zeratsky, J., Kowitz, B.: Sprint: how to solve big problems and test new ideas in just five days. Simon and Schuster (2016)
Lemoine, F., Aubonnet, T., Simoni, N.: IoT composition based on self-controlled services. J. Ambient. Intell. Humaniz. Comput. 11(11), 5167–5186 (2020). https://doi.org/10.1007/s12652-020-01831-4
Pradhan, B., Bhattacharyya, S., Pal, K.: IoT-based applications in healthcare devices. J. Healthc. Eng. 2021, 6632599 (2021). https://doi.org/10.1155/2021/6632599
Riad, K., Hamza, R., Yan, H.: Sensitive and energetic IoT access control for managing cloud electronic health records. IEEE Access 7, 86384–86393 (2019). https://doi.org/10.1109/ACCESS.2019.2926354
Sari, E., Tedjasaputra, A.: Designing valuable products with design sprint. In: Bernhaupt, R., Dalvi, G., Joshi, A., K. Balkrishan, D., O’Neill, J., Winckler, M. (eds.) INTERACT 2017. LNCS, vol. 10516, pp. 391–394. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-68059-0_37
Selvaraj, S., Sundaravaradhan, S.: Challenges and opportunities in IoT healthcare systems: a systematic review. SN Appl. Sci. 2(1), 1–8 (2019). https://doi.org/10.1007/s42452-019-1925-y
Sneesl, R., Jusoh, Y.Y., Jabar, M.A., Abdullah, S.: Revising technology adoption factors for IoT-based smart campuses: a systematic review. Sustainability 14(8), 4840 (2022). https://doi.org/10.3390/su14084840
Southall, H., Marmion, M., Davies, A.: Adapting Jake Knapp’s design sprint approach for AR/VR applications in digital heritage. In: tom Dieck, M.C., Jung, T. (eds.) Augmented Reality and Virtual Reality. PI, pp. 59–70. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-06246-0_5
Suryandari, Y.: Survei IoT healthcare device. Jurnal Sistem Cerdas 3(2), 153–164 (2020). https://doi.org/10.37396/jsc.v3i2.55
Syagnik (Sy) Banerjee, Hemphill, T., Longstreet, P.: Wearable devices and healthcare: data sharing and privacy. Inf. Soc. 34(1), 49–57 (2018). https://doi.org/10.1080/01972243.2017.1391912
Wiberg, M.: Addressing IoT: Towards material-centered interaction design. In: Kurosu, M. (ed.) HCI 2018. LNCS, vol. 10901, pp. 198–207. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91238-7_17
Yen, P.Y., Bakken, S.: Review of health information technology usability study methodologies. J. Am. Med. Inform. Assoc. 19(3), 413–422 (2011). https://doi.org/10.1136/amiajnl-2010-000020
Yu, H., Zhou, Z.: Optimization of IoT-based artificial intelligence assisted telemedicine health analysis system. IEEE Access 9, 85034–85048 (2021). https://doi.org/10.1109/ACCESS.2021.3088262
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Monroy-Rodríguez, G., Sánchez-Adame, L.M., Mendoza, S., Valdespin-Garcia, I.G., Decouchant, D. (2023). Towards an Interaction Design Framework for IoT Healthcare Systems. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2023. Lecture Notes in Computer Science, vol 14036. Springer, Cham. https://doi.org/10.1007/978-3-031-34668-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-34668-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34667-5
Online ISBN: 978-3-031-34668-2
eBook Packages: Computer ScienceComputer Science (R0)