Show simple item record

dc.contributor.authorOttley, Alvittaen_US
dc.contributor.authorGarnett, Romanen_US
dc.contributor.authorWan, Ranen_US
dc.contributor.editorGleicher, Michael and Viola, Ivan and Leitte, Heikeen_US
dc.description.abstractThe goal of visual analytics is to create a symbiosis between human and computer by leveraging their unique strengths. While this model has demonstrated immense success, we are yet to realize the full potential of such a human-computer partnership. In a perfect collaborative mixed-initiative system, the computer must possess skills for learning and anticipating the users' needs. Addressing this gap, we propose a framework for inferring attention from passive observations of the user's click, thereby allowing accurate predictions of future events. We demonstrate this technique with a crime map and found that users' clicks can appear in our prediction set 92% - 97% of the time. Further analysis shows that we can achieve high prediction accuracy typically after three clicks. Altogether, we show that passive observations of interaction data can reveal valuable information that will allow the system to learn and anticipate future events.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectcentered computing
dc.subjectVisual analytics
dc.subjectVisualization theory
dc.subjectconcepts and paradigms
dc.titleFollow The Clicks: Learning and Anticipating Mouse Interactions During Exploratory Data Analysisen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersBest Paper Award Nominees

Files in this item


This item appears in the following Collection(s)

  • 38-Issue 3
    EuroVis 2019 - Conference Proceedings

Show simple item record