Analytic provenance: process+interaction+insight

Authors:
Chris North;Remco Chang;Alex Endert;Wenwen Dou;Richard May;Bill Pike;Glenn Fink
Affiliations:
Virginia Tech, Blacksburg, VA, USA;Tufts University, Medford, MA, USA;Virginia Tech, Blacksburg, VA, USA;UNC Charlotte, Charlotte, NC, USA;Pacific Northwest National Lab, Richland, WA, USA;Pacific Northwest National Lab, Richland, WA, USA;Pacific Northwest National Lab, Richland, WA, USA
Venue:
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Year:
2011

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Abstract

Visual analytics is the science of analytical reasoning facilitated by interactive visual interfaces. One key aspect that separates visual analytics from other related fields (InfoVis, SciVis, HCI) is the focus on analytical reasoning. While the final products generated at from an analytical process are of great value, research has shown that the processes of the analysis themselves are just as important if not more so. These processes not only contain information on individual insights discovered, but also how the users arrive at these insights. This area of research that focuses on understanding a user's reasoning process through the study of their interactions with a visualization is called Analytic Provenance, and has demonstrated great potential in becoming a foundation of the science of visual analytics. The goal of this workshop is to provide a forum for researchers and practitioners from academia, national labs, and industry to share methods for capturing, storing, and reusing user interactions and insights. We aim to develop a research agenda for how to better study analytic provenance and utilize the results in assisting users in solving real world problems.