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Exploring the Role of Deontic Reasoning and World Knowledge in Wason´s Selection Task
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SensePath: Understanding the Sensemaking Process Through Analytic Provenance.

Phong H Nguyen, Kai Xu, Ashley Wheat

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    Summary
    This summary is machine-generated.

    This study introduces SensePath, a tool that automates the capture of user actions during sensemaking. This facilitates qualitative analysis, significantly reducing the time needed to understand complex data and user insights.

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    Area of Science:

    • Human-Computer Interaction
    • Qualitative Data Analysis
    • Information Science

    Background:

    • Sensemaking, the process of deriving meaning from information, is crucial for knowledge creation and decision-making.
    • Current methods for analyzing sensemaking processes are manual, time-consuming, and involve collecting and transcribing observational data.
    • Effective visual analytics tools require a deep understanding of the sensemaking process.

    Purpose of the Study:

    • To propose a general approach and introduce a prototype tool, SensePath, to facilitate the qualitative analysis of sensemaking processes.
    • To focus on automating the transcription and coding stages of thematic analysis for online sensemaking activities.
    • To develop a tool that captures analytic provenance and supports further analysis through multi-linked views.

    Main Methods:

    • Conducted qualitative research sessions observing users performing sensemaking tasks.
    • Performed post hoc analyses to understand user sensemaking processes.
    • Held participatory design sessions with HCI researchers to refine requirements.
    • Developed the SensePath prototype based on study findings and design sessions.
    • Evaluated SensePath with an experienced HCI researcher analyzing two sensemaking sessions.

    Main Results:

    • SensePath automatically captures users' sensemaking actions (analytic provenance).
    • The tool provides multi-linked views to support qualitative analysis.
    • SensePath integrates easily with existing qualitative analysis workflows and is non-intrusive.
    • An experienced researcher found SensePath intuitive and reported a considerable reduction in analysis time.

    Conclusions:

    • The proposed approach and SensePath prototype effectively facilitate the qualitative analysis of sensemaking processes.
    • Automating the capture of analytic provenance significantly reduces the time and effort required for sensemaking analysis.
    • SensePath enhances the understanding of user sensemaking processes, particularly in browser-based online environments.