Task-based Quantitative Evaluation of the Concordance Mosaic Visualization

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A4 Artikkeli konferenssijulkaisussa
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Date

2022-07-19

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Department of Art and Media

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Mcode

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Language

en

Pages

7

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Proceedings of the 26th International Conference on Information Visualisation, pp. 123-129, International Conference on Information Visualisation (IV) proceedings ; Volume 26

Abstract

Researchers working in areas such as lexicography, translation studies, and computational linguistics, use a combination of automated and semi-automated tools to analyze the content of text corpora. Concordancing – or the arranging of passages of a textual corpus in alphabetical order according to user-defined keywords – is one of the oldest and still most widely used forms of text analysis. Concordance Mosaic is an inter- active concordance visualisation which emphasises quantitative information such as word frequency. While Concordance Mosaic is in active use by humanities scholars, no quantitative evaluation of the technique exists. In this paper, the Concordance Mosaic is quantitatively evaluated in comparison to a typical concordance browser. The comparison is evaluated using speed and accuracy on identified corpus analysis actions.

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Keywords

Quantitative Evaluation, Visualization in the humanities, ext and document data, Visual knowledge discovery

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DOI

10.1109/IV56949.2022.00028

Citation

Sheehan, S, Masoodian, M & Luz, S 2022, Task-based Quantitative Evaluation of the Concordance Mosaic Visualization. in Proceedings of the 26th International Conference on Information Visualisation . International Conference on Information Visualisation (IV) proceedings, vol. 26, IEEE, pp. 123-129, International Conference on Information Visualisation, Vienna, Austria, 19/07/2022. https://doi.org/10.1109/IV56949.2022.00028

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https://urn.fi/URN:NBN:fi:aalto-202301181311

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