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Data Communication Based on MQTT in a Polymer Extrusion Process
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The Curse of Knowledge in Visual Data Communication.

Cindy Xiong, Lisanne Van Weelden, Steven Franconeri

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    This summary is machine-generated.

    People often misinterpret data visualizations due to the curse of knowledge. Even when asked to ignore their context, individuals assume others will see the same patterns they do in data.

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    Area of Science:

    • Cognitive Psychology
    • Data Visualization
    • Information Design

    Background:

    • Data visualizations can lead to varied interpretations, causing miscommunication.
    • Understanding how individual context influences pattern perception in data is crucial.

    Purpose of the Study:

    • To investigate if priming influences perceived visual salience in data visualizations.
    • To determine if the curse of knowledge affects visual perception of data patterns.

    Main Methods:

    • Participants received distinct backstories influencing their perception of political polling data visualizations.
    • Participants viewed graphs and predicted which patterns naive viewers would find most visually salient.

    Main Results:

    • Primed participants strongly predicted others would share their visually salient patterns.
    • Personalized context significantly influenced predictions about naive viewers' perceptions.
    • The curse of knowledge was evident, overriding instructions to disregard personal knowledge.

    Conclusions:

    • The curse of knowledge extends to visual data perception, impacting communication.
    • Misaligned perceptions of data patterns hinder effective audience engagement.
    • Awareness of this bias is essential for data communicators.