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dc.contributor.authorWesslen, Ryanen_US
dc.contributor.authorSanthanam, Sashanken_US
dc.contributor.authorKarduni, Alirezaen_US
dc.contributor.authorCho, Isaacen_US
dc.contributor.authorShaikh, Samiraen_US
dc.contributor.authorDou, Wenwenen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.date.accessioned2019-06-02T18:27:32Z
dc.date.available2019-06-02T18:27:32Z
dc.date.issued2019
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.13679
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13679
dc.description.abstractCognitive 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.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectEmpirical studies in visualization
dc.titleInvestigating Effects of Visual Anchors on Decision-Making about Misinformationen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersAnalysis and Decision Making
dc.description.volume38
dc.description.number3
dc.identifier.doi10.1111/cgf.13679
dc.identifier.pages161-171


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  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

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