Augmenting Visualization with Natural Language Translation of Interaction: A Usability Study

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dc.contributor.authorNafari, Maryamen_US
dc.contributor.authorWeaver, Chrisen_US
dc.contributor.editorB. Preim, P. Rheingans, and H. Theiselen_US
dc.date.accessioned2015-02-28T15:31:42Z
dc.date.available2015-02-28T15:31:42Z
dc.date.issued2013en_US
dc.description.abstractAs visualization tools get more complicated, users often find it increasingly difficult to learn interaction sequences, recall past queries, and interpret visual states.We examine a query-to-question (Q2Q) supporting system that takes advantage of natural language generation (NLG) techniques to automatically translate and display query interactions as natural language questions. We focus on a symmetric pattern of multiple coordinated views, cross-filtered views, that involves only nominal/categorical data. We describe a study of the effects of pairing a visualization with a Q2Q interface on several aspects of usability. Q2Q produces considerable improvements in learnability, efficiency, and memorability of visualization in terms of speed and the length of interaction sequences that users follow, along with a modest decrease in error ratio. From a visual language perspective, we analyze how Q2Q speeds up users' comprehension of interaction, particularly when a visualization representation has deficiencies in illustrating hidden items or relationships.en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12126en_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.subjectH.5.2 [Information Systems]en_US
dc.subjectInformation Interfaces and Presentationen_US
dc.subjectUser Interfacesen_US
dc.subjectnatural languageen_US
dc.titleAugmenting Visualization with Natural Language Translation of Interaction: A Usability Studyen_US
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32-Issue 3
EuroVis13: Eurographics Conference on Visualization