We explore how the availability of a sensemaking tool influences users' knowledge externalization strategies. On a large display, users were asked to solve an intelligence analysis task with or without a bidirectionally linked concept-graph (BLC) to organize insights into concepts (nodes) and relations (edges). In BLC, both nodes and edges maintain "deep links" to the exact source phrases and sections in associated documents. In our control condition, we were able to reproduce previously described spatial organization behaviors using document windows on the large display. When using BLC, however, we found that analysts apply spatial organization to BLC nodes instead, use significantly less display space and have significantly fewer open windows.
@cite_10 investigated collaborative sensemaking on a large display using either Jigsaw @cite_9 or a simple document viewer with highlighting and annotation. They observed that users had fewer documents open with Jigsaw compared to the document viewer, but speculated that this difference was caused by the different window management behaviors of the two sensemaking tools. However, an alternative explanation could be that the users employed different externalization strategies in Jigsaw, so that the actual for multiple document windows was reduced.
@cite_9 @cite_10
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Investigative analysts who work with collections of text documents connect embedded threads of evidence in order to formulate hypotheses about plans and activities of potential interest. As the number of documents and the corresponding number of concepts and entities within the documents grow larger, sense-making processes become more and more difficult for the analysts. We have developed a visual analytic system called Jigsaw that represents documents and their entities visually in order to help analysts examine reports more efficiently and develop theories about potential actions more quickly. Jigsaw provides multiple coordinated views of document entities with a special emphasis on visually illustrating connections between entities across the different documents. From an exploratory user study using a fictional textual intelligence analysis task on a large, high-resolution vertical display, we investigated how pairs of users interact with the display to construct spatial schemas and externalize information, as well as how they establish shared and private territories. We investigated users' space management strategies depending on the design philosophy of the user interface (visualization- or document-centric). We classified the types of territorial behavior exhibited in terms of how the users interacted with information on the display (integrated or independent workspaces). Next, we examined how territorial behavior impacted the common ground between the pairs of users. Finally, we offer design suggestions for building future co-located collaborative visual analytics tools for use on large, high-resolution vertical displays.