Show simple item record

dc.contributor.authorJagoda Walny
dc.contributor.authorChristian Frisson
dc.contributor.authorMieka West
dc.contributor.authorDoris Kosminsky
dc.contributor.authorSøren Knudsen
dc.contributor.authorSheelagh Carpendale
dc.contributor.authorWillett, Wesley J.
dc.date.accessioned2019-08-02T20:44:50Z
dc.date.available2019-08-02T20:44:50Z
dc.date.issued2019-08-01
dc.identifier.citationWalny, J., Frisson, C., West, M., Kosminsky, D., Knudsen, S., Carpendale, S., & Willett, W. J. (2019). Data Changes Everything: Challenges and Opportunities in Data Visualization Design Handoff. "IEEE Transactions on Visualization and Computer Graphics". 1-11.en_US
dc.identifier.urihttp://hdl.handle.net/1880/110696
dc.description.abstractComplex data visualization design projects often entail collaboration between people with different visualization-related skills. For example, many teams include both designers who create new visualization designs and developers who implement the resulting visualization software. We identify gaps between data characterization tools, visualization design tools, and development platforms that pose challenges for designer-developer teams working to create new data visualizations. While it is common for commercial interaction design tools to support collaboration between designers and developers, creating data visualizations poses several unique challenges that are not supported by current tools. In particular, visualization designers must characterize and build an understanding of the underlying data, then specify layouts, data encodings, and other data-driven parameters that will be robust across many different data values. In larger teams, designers must also clearly communicate these mappings and their dependencies to developers, clients, and other collaborators. We report observations and reflections from five large multidisciplinary visualization design projects and highlight six data-specific visualization challenges for design specification and handoff. These challenges include adapting to changing data, anticipating edge cases in data, understanding technical challenges, articulating data-dependent interactions, communicating data mappings, and preserving the integrity of data mappings across iterations. Based on these observations, we identify opportunities for future tools for prototyping, testing, and communicating data-driven designs, which might contribute to more successful and collaborative data visualization design.en_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectComputer Science - Human-Computer Interactionen_US
dc.subjectInformation visualizationen_US
dc.subjectDesign handoffen_US
dc.subjectData mappingen_US
dc.subjectDesign processen_US
dc.titleData Changes Everything: Challenges and Opportunities in Data Visualization Design Handoffen_US
dc.typeacceptedVersionen_US
dc.typeacceptedVersionen_US
dc.publisher.facultyScienceen_US
dc.publisher.departmentComputer Scienceen_US
dc.publisher.institutionUniversity of Calgaryen_US
ucalgary.item.requestcopytrueen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Unless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.