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    Investigating Effects of Visual Anchors on Decision-Making about Misinformation

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    Date
    2019
    Author
    Wesslen, Ryan
    Santhanam, Sashank
    Karduni, Alireza
    Cho, Isaac
    Shaikh, Samira
    Dou, Wenwen
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    Abstract
    Cognitive biases are systematic errors in judgment due to an over-reliance on rule-of-thumb heuristics. Recent research suggests that cognitive biases, like numerical anchoring, transfers to visual analytics in the form of visual anchoring. However, it is unclear how visualization users can be visually anchored and how the anchors affect decision-making. To investigate, we performed a between-subjects laboratory experiment with 94 participants to analyze the effects of visual anchors and strategy cues using a visual analytics system. The decision-making task was to identify misinformation from Twitter news accounts. Participants were randomly assigned to conditions that modified the scenario video (visual anchor) and/or strategy cues provided. Our findings suggest that such interventions affect user activity, speed, confidence, and, under certain circumstances, accuracy. We discuss implications of our results on the forking paths problem and raise concerns on how visualization researchers train users to avoid unintentionally anchoring users and affecting the end result.
    BibTeX
    @article {10.1111:cgf.13679,
    journal = {Computer Graphics Forum},
    title = {{Investigating Effects of Visual Anchors on Decision-Making about Misinformation}},
    author = {Wesslen, Ryan and Santhanam, Sashank and Karduni, Alireza and Cho, Isaac and Shaikh, Samira and Dou, Wenwen},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13679}
    }
    URI
    https://doi.org/10.1111/cgf.13679
    https://diglib.eg.org:443/handle/10.1111/cgf13679
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA