What Makes a Design Study Sustainable in Complex Domains? A Characterisation Framework for Regulated, Stakeholder-Rich Contexts
dc.contributor.author | Surodina, Svitlana | en_US |
dc.contributor.author | Borgo, Rita | en_US |
dc.contributor.editor | Sheng, Yun | en_US |
dc.contributor.editor | Slingsby, Aidan | en_US |
dc.date.accessioned | 2025-09-09T05:12:33Z | |
dc.date.available | 2025-09-09T05:12:33Z | |
dc.date.issued | 2025 | |
dc.description.abstract | Design studies are a core methodology in visualisation for solving real-world problems, but applying them in complex domains, such as clinical visual analytics, encounters well-recognised challenges. Existing frameworks provide rigour but often fall short in guiding systematic long-term, cross-disciplinary collaborations and sustainable tool adoption in high-stakes settings. This paper introduces a two-phase framework combining extended domain-characterisation methods and grounded in the established design study methodologies to frame the industry-level precondition analysis from project-specific design. Validated through AI-Enabled Clinical Decision Support Systems (AI-CDSS) case studies, our approach standardises domain constraints upfront, accelerates project onboarding, and lays the groundwork for cross-project comparison for sustainable, scalable visualisation research. | en_US |
dc.description.sectionheaders | Visualisation | |
dc.description.seriesinformation | Computer Graphics and Visual Computing (CGVC) | |
dc.identifier.doi | 10.2312/cgvc.20251216 | |
dc.identifier.isbn | 978-3-03868-293-6 | |
dc.identifier.pages | 10 pages | |
dc.identifier.uri | https://doi.org/10.2312/cgvc.20251216 | |
dc.identifier.uri | https://diglib.eg.org/handle/10.2312/cgvc20251216 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Human-centered computing → Visualization design and evaluation methods; Software creation and management → Requirements analysis; Applied computing → Decision analysis; Health care information systems | |
dc.subject | Human centered computing → Visualization design and evaluation methods | |
dc.subject | Software creation and management → Requirements analysis | |
dc.subject | Applied computing → Decision analysis | |
dc.subject | Health care information systems | |
dc.title | What Makes a Design Study Sustainable in Complex Domains? A Characterisation Framework for Regulated, Stakeholder-Rich Contexts | en_US |
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