Elshehal, M, Alvarado, N orcid.org/0000-0001-9422-4483, McVey, L orcid.org/0000-0003-2009-7682 et al. (3 more authors) (2018) From Taxonomy to Requirements: A Task Space Partitioning Approach. In: Proceedings of the IEEE VIS Workshop on Evaluation and Beyond – Methodological Approaches for Visualization (BELIV). BELIV Workshop 2018, 21 Oct 2018, Berlin, Germany. IEEE
Abstract
We present a taxonomy-driven approach to requirements specification in a large-scale project setting, drawing on our work to develop visualization dashboards for improving the quality of healthcare. Our aim is to overcome some of the limitations of the qualitative methods that are typically used for requirements analysis. When applied alone, methods like interviews fall short in identifying the full set of functionalities that a visualization system should support. We present a five-stage pipeline to structure user task elicitation and analysis around well-established taxonomic dimensions, and make the following contributions: (i) criteria for selecting dimensions from the large body of task taxonomies in the literature,, (ii) use of three particular dimensions (granularity, type cardinality and target) to create materials for a requirements analysis workshop with domain experts, (iii) a method for characterizing the task space that was produced by the experts in the workshop, (iv) a decision tree that partitions that space and maps it to visualization design alternatives, and (v) validating our approach by testing the decision tree against new tasks that collected through interviews with further domain experts.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Human-centered computing, Visualization, Visualization design and evaluation methods |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Healthcare (Leeds) > Nursing Adult (Leeds) |
Funding Information: | Funder Grant number NIHR National Inst Health Research 16/04/06 |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Oct 2018 12:43 |
Last Modified: | 10 Jan 2019 11:56 |
Published Version: | https://beliv-workshop.github.io/schedule.html |
Status: | Published |
Publisher: | IEEE |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136486 |