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• W2752843814 abstract "Interactive visual data analysis is most productive when users can focus on answering the questions they have about their data, rather than focusing on how to operate the interface to the analysis tool. One viable approach to engaging users in interactive conversations with their data is a natural language interface to visualizations. These interfaces have the potential to be both more expressive and more accessible than other interaction paradigms. We explore how principles from language pragmatics can be applied to the flow of visual analytical conversations, using natural language as an input modality. We evaluate the effectiveness of pragmatics support in our system Evizeon, and present design considerations for conversation interfaces to visual analytics tools." @default.
• W2752843814 created "2017-09-15" @default.
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• W2752843814 date "2018-01-01" @default.
• W2752843814 modified "2023-10-02" @default.
• W2752843814 title "Applying Pragmatics Principles for Interaction with Visual Analytics" @default.
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• W2752843814 doi "https://doi.org/10.1109/tvcg.2017.2744684" @default.
• W2752843814 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28866554" @default.
• W2752843814 hasPublicationYear "2018" @default.
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