Abstract
Digital twins refer to a digital replica of potential actual physical assets, people, or systems, which are relevant for the future of digital health. These virtual replicas can be used to perform simulations that help assess possible risks, test performance, and optimize processes before applying them in the real world. Applied to the healthcare sector, a digital twin can refer to a replica of a patient or certain aspects of a human, like body parts, body organs or body systems. As a digital twin would age with the owner the question arises as to how we should visualize our digital twin (i.e., how to represent ourselves in a digital way with data). We do not yet know how people want their data (quantitative or qualitative) to be represented as digital twins. We addressed this question using generative design research methods, and more particularly co-design sessions that explored users’ perspectives and design preferences on digital twins. Our findings suggest a preference for qualitative representation unless there are emergency alerts, in which quantitative representations were preferred. People were reluctant towards health forecasting through a digital twin and saw it more as a reflection tool to improve quality of life.
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De Maeyer, C., Lee, M. (2022). I Feel You. In: Bernhaupt, R., Ardito, C., Sauer, S. (eds) Human-Centered Software Engineering. HCSE 2022. Lecture Notes in Computer Science, vol 13482. Springer, Cham. https://doi.org/10.1007/978-3-031-14785-2_2
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