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Words of estimative correlation : studying verbalizations of scatterplots
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Henkin, Rafael and Turkay, Cagatay (2022) Words of estimative correlation : studying verbalizations of scatterplots. IEEE Transactions on Visualization and Computer Graphics, 28 (4). pp. 1967-1981. doi:10.1109/TVCG.2020.3023537 ISSN 1077-2626.
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WRAP-Words-estimative-correlation-studying-verbalizations-scatterplots-Turkay-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1995Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/TVCG.2020.3023537
Abstract
Natural language and visualization are being increasingly deployed together for supporting data analysis in different ways, from multimodal interaction to enriched data summaries and insights. Yet, researchers still lack systematic knowledge on how viewers verbalize their interpretations of visualizations, and how they interpret verbalizations of visualizations in such contexts. We describe two studies aimed at identifying characteristics of data and charts that are relevant in such tasks. The first study asks participants to verbalize what they see in scatterplots that depict various levels of correlations. The second study then asks participants to choose visualizations that match a given verbal description of correlation. We extract key concepts from responses, organize them in a taxonomy and analyze the categorized responses. We observe that participants use a wide range of vocabulary across all scatterplots, but particular concepts are preferred for higher levels of correlation. A comparison between the studies reveals the ambiguity of some of the concepts. We discuss how the results could inform the design of multimodal representations aligned with the data and analytical tasks, and present a research roadmap to deepen the understanding about visualizations and natural language.
| Item Type: | Journal Article | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||||
| Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | ||||||||
| Library of Congress Subject Headings (LCSH): | Information visualization, Natural language generation (Computer science) , Natural language processing (Computer science) , Human-computer interaction | ||||||||
| Journal or Publication Title: | IEEE Transactions on Visualization and Computer Graphics | ||||||||
| Publisher: | Institute of Electrical and Electronics Engineers | ||||||||
| ISSN: | 1077-2626 | ||||||||
| Official Date: | 1 April 2022 | ||||||||
| Dates: |
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| Volume: | 28 | ||||||||
| Number: | 4 | ||||||||
| Page Range: | pp. 1967-1981 | ||||||||
| DOI: | 10.1109/TVCG.2020.3023537 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Reuse Statement (publisher, data, author rights): | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||
| Date of first compliant deposit: | 29 September 2020 | ||||||||
| Date of first compliant Open Access: | 2 October 2020 | ||||||||
| RIOXX Funder/Project Grant: |
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