The visual display of quantitative information
The visual display of quantitative information
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Breakthrough: Stories and Strategies of Radical Innovation
Breakthrough: Stories and Strategies of Radical Innovation
Practical guide to controlled experiments on the web: listen to your customers not to the hippo
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Artificial Intelligence and Law
A new tangible user interface for machine learning document review
Artificial Intelligence and Law
Evaluating information visualization in large companies: challenges, experiences and recommendations
Proceedings of the 3rd BELIV'10 Workshop: BEyond time and errors: novel evaLuation methods for Information Visualization
Information visualization evaluation in large companies: challenges, experiences and recommendations
Information Visualization - Special issue on Evaluation for Information Visualization
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Because visual analytics is not used in a vacuum, there are no cut-and-dry metrics which can accurately evaluate visual analytic tools. These tools are used inside of existing business processes, thus metrics to evaluate these tools must measure the productivity of information workers on the data-centric critical path of these business processes. In this paper, we argue for process-centric visual analytic metrics grounded in the concept of information worker productivity. We will place our discussion the context of legal e-discovery, the business process within which Attenex operates and within which we have demonstrated that visual analytic tools can increase productivity dramatically. After discussing how productivity metrics for visual analytics helped e-discovery, we make the argument that they can help any data-intensive business process and discuss both how to create these metrics and apply them successfully.