Public Data Visualization: Analyzing Local Running Statistics on Situated Displays

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dc.contributor.authorCoenen, Jorgosen_US
dc.contributor.authorMoere, Andrew Vandeen_US
dc.contributor.editorBorgo, Rita and Marai, G. Elisabeta and Landesberger, Tatiana vonen_US
dc.date.accessioned2021-06-12T11:01:31Z
dc.date.available2021-06-12T11:01:31Z
dc.date.issued2021
dc.description.abstractPopular sports tracking applications allow athletes to share and compare their personal performance data with others. Visualizing this data in relevant public settings can be beneficial in provoking novel types of opportunistic and communal sense-making. We investigated this premise by situating an analytical visualization of running performances on two touch-enabled public displays in proximity to a local community running trail. Using a rich mixed-method evaluation protocol during a three-week-long in-the-wild deployment, we captured its social and analytical impact across 235 distinct interaction sessions. Our results show how our public analytical visualization supported passers-by to create novel insights that were rather of casual nature. Several textual features that surrounded the visualization, such as titles that were framed as provocative hypotheses and predefined attention-grabbing data queries, sparked interest and social debate, while a narrative tutorial facilitated more analytical interaction patterns. Our detailed mixed-methods evaluation approach led to a set of actionable takeaways for public visualizations that allow novice audiences to engage with data analytical insights that have local relevance.en_US
dc.description.number3
dc.description.sectionheadersSituated Displays and Guidance
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume40
dc.identifier.doi10.1111/cgf.14297
dc.identifier.issn1467-8659
dc.identifier.pages159-171
dc.identifier.urihttps://doi.org/10.1111/cgf.14297
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14297
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHuman centered computing
dc.subjectEmpirical studies in visualization
dc.subjectVisualization design and evaluation methods
dc.titlePublic Data Visualization: Analyzing Local Running Statistics on Situated Displaysen_US
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