Towards Natural Language Empowered Interactive Data Analysis

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dc.contributor.authorTurkay, Cagatayen_US
dc.contributor.authorHenkin, Rafaelen_US
dc.contributor.editorAnna Puig and Renata Raidouen_US
dc.date.accessioned2018-06-02T17:55:53Z
dc.date.available2018-06-02T17:55:53Z
dc.date.issued2018
dc.description.abstractThe recent advances in natural language based interaction methodologies offer promising avenues to enhance the interactive processes within the human-machine dialogue of visual analytics. We envisage Multimodal Data Analytics as a novel approach for conducting data analysis that builds on the strengths of visual analytics and natural language as an expressive interaction channel. We investigate the potential enhancements from such a multimodal approach and discusses the preliminary outline for a structured methodology to study the role of natural language in data analytics. Our approach builds on a simple model of human machine dialogue for interactive data analysis which we then propose to instantiate as visual analytics workflows - representations to study and operationalise interactive data analysis routines empowered by natural language interaction.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2018 - Posters
dc.identifier.doi10.2312/eurp.20181128
dc.identifier.isbn978-3-03868-065-9
dc.identifier.pages53-55
dc.identifier.urihttps://doi.org/10.2312/eurp.20181128
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20181128
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisual analytics
dc.titleTowards Natural Language Empowered Interactive Data Analysisen_US
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