Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems 2023
DOI: 10.1145/3544548.3581091
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Charagraph: Interactive Generation of Charts for Realtime Annotation of Data-Rich Paragraphs

Abstract: □ □ (p < .0 (p < □ , □ ms) (c) Select data-group (b) Delimit selection (a) Document with Charagraphs (d) Identify (e) Compare Creation Interaction Figure 1: (a) Charagraphs are in-situ visualizations of numeric data included within text that are dynamically generated (b) by delimiting a selection and (c) selecting a data group. Charagraphs support common data exploration tasks through interactive features such as (d) identifying and (e) comparing values.

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Cited by 8 publications
(2 citation statements)
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“…Specifically, readers interested in re-analyzing the results presented in a chart can use ChartDetective to extract underlying data and then use it as input to their analysis, or to compare their results against. Other applications include the use of ChartDetective as an intermediate step to re-design existing charts: a chart found online or in a document might benefit from being redesigned if it is poorly structured or deceptive [10,53,61], uses a representation ineffective to support users' task [58,66], is overblown and shows too many data points [77], or is not accessible because of its colour palette and style [41,82]. For all these scenarios, the chart can be loaded in ChartDetective to let users select only the data of interest.…”
Section: Applications Of Chartdetectivementioning
confidence: 99%
“…Specifically, readers interested in re-analyzing the results presented in a chart can use ChartDetective to extract underlying data and then use it as input to their analysis, or to compare their results against. Other applications include the use of ChartDetective as an intermediate step to re-design existing charts: a chart found online or in a document might benefit from being redesigned if it is poorly structured or deceptive [10,53,61], uses a representation ineffective to support users' task [58,66], is overblown and shows too many data points [77], or is not accessible because of its colour palette and style [41,82]. For all these scenarios, the chart can be loaded in ChartDetective to let users select only the data of interest.…”
Section: Applications Of Chartdetectivementioning
confidence: 99%
“…Thus, systems have been proposed to automatically generate analogies and relatable explanations and visualizations of the measurements reported in a document [55,63]. Similarly, there is a wealth of research on how to generate visualizations to accompany documents, either to give more contexts while reading by leveraging external databases of relevant information [37,54], to generate visualization in-context for data that is already in the document but scattered in textual tables [6], or simply to give readers a way to annotate documents using charts so that they can make sense of numbers in-text [71].…”
Section: Personalized Reading Experiencementioning
confidence: 99%