This article was published at IEEE Transactions on Visualization and Computer Graphics  and was granted Best Paper AWARD) at IEEE-VIS 2019. 

Download the complete article here. Or watch the presentation video below.

Abstract: Complex 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.

For this demo, we will show two interactive visualizations: Energy Futures and Pipeline Incidents. We designed and developed these visualizations as part of an open data initiative that aims to create interactive data visualizations to help make Canada’s energy data publicly accessible, transparent, and understandable. This work was conducted in collaboration with the National Energy Board of Canada (NEB) and a visualization software development company, VizworX.

Demonstration published in CHI EA ’18 Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. ACM New York, NY Montreal, Canada (2018)