Abstract
This paper describes several strategies for engaging bioinformaticians in the software design process for Bioinformatics tools. These tools and co-design processes are intended to support and enhance their profession within a web-based context by discussing artifacts and databases, reacting to scenarios, customizing prototypes, and identifying user journeys. Using design artifacts and documents of scientists’ reflections, an illustration of how these techniques were applied in the context of PRS prediction tools for Bioinformatics. This further includes discussing design implications for Bioinformatics tools.
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Acknowledgment
We would like to acknowledge the Artificial Intelligence Center and the College of Engineering at Alfaisal University for supporting this project. The appreciation is also extended to the Molecular Genetics Laboratory at the Public Health Authority for the co-design, knowledge support, and guidance through this project.
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Zubairi, A., AlDossary, D., AlEissa, M.M., Al-Wabil, A. (2023). The Co-design Process for Interactive Tools for Predicting Polygenic Risk Scores. In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1832. Springer, Cham. https://doi.org/10.1007/978-3-031-35989-7_25
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DOI: https://doi.org/10.1007/978-3-031-35989-7_25
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