SenseMap: supporting browser-based online sensemaking through analytic provenance

Nguyen, Phong H., Xu, Kai ORCID logoORCID:, Bardill, Andy ORCID logoORCID:, Salman, Betul, Herd, Kate ORCID logoORCID: and Wong, B. L. William ORCID logoORCID: (2016) SenseMap: supporting browser-based online sensemaking through analytic provenance. 2016 IEEE Conference on Visual Analytics Science and Technology (VAST). In: VIS 2016: IEEE Visualization Conference, 23-28 Oct 2016, Baltimore, Maryland, USA. ISBN 9781509056613. [Conference or Workshop Item] (doi:10.1109/vast.2016.7883515)

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Sensemaking is described as the process in which people collect, organize and create representations of information, all centered around some problem they need to understand. People often get lost when solving complicated tasks using big datasets over long periods of exploration and analysis. They may forget what they have done, are unaware of where they are in the context of the overall task, and are unsure where to continue. In this paper, we introduce a tool, SenseMap, to address these issues in the context of browser-based online sensemaking. We conducted a semi-structured interview with nine participants to explore their behaviors in online sensemaking with existing browser functionality. A simplified sensemaking model based on Pirolli and Card's model is derived to better represent the behaviors we found: users iteratively collect information sources relevant to the task, curate them in a way that makes sense, and finally communicate their findings to others. SenseMap automatically captures provenance of user sensemaking actions and provides multi-linked views to visualize the collected information and enable users to curate and communicate their findings. To explore how SenseMap is used, we conducted a user study in a naturalistic work setting with five participants completing the same sensemaking task related to their daily work activities. All participants found the visual representation and interaction of the tool intuitive to use. Three of them engaged with the tool and produced successful outcomes. It helped them to organize information sources, to quickly find and navigate to the sources they wanted, and to effectively communicate their findings.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 22025
Notes on copyright: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Depositing User: Kai Xu
Date Deposited: 16 Jun 2017 09:15
Last Modified: 29 Nov 2022 21:31

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