Kennedy, H, Hill, RL orcid.org/0000-0003-0099-4116, Allen, W et al. (1 more author) (2016) Engaging with (big) data visualizations: Factors that affect engagement and resulting new definitions of effectiveness. First Monday, 21 (11). ISSN 1396-0466
Abstract
As data become increasingly ubiquitous, so too do data visualisations, which are the main means through which non-experts get access to data. Most visualizations circulate and are shared online, and many of them are produced by Internet researchers. For these reasons, data visualization is an important object of study for Internet research. This paper proposes that Internet research should engage critically with data visualization, and it does so by focusing on how people engage with them. Drawing on qualitative, empirical research with users, in this paper we identify six factors that affect engagement, which we define as socio-cultural: subject matter; source/media location; beliefs and opinions; time; emotions; and confidence and skills. We argue that our findings have implications for how effectiveness is defined in relation to data visualizations: such definitions vary depending on how, by whom, where and for what purpose visualizations are encountered. Our research also suggests that research into visualization engagement can benefit from adopting qualitative approaches developed within media audience research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Authors 2016. This paper is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
Keywords: | data visualization; user engagement; user studies; socio-cultural factors; effectiveness |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Sociology and Social Policy (Leeds) |
Funding Information: | Funder Grant number Arts & Humanities Research Council AHRC AH/L009986/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Nov 2016 15:53 |
Last Modified: | 23 Jun 2023 22:16 |
Published Version: | https://doi.org/10.5210/fm.v21i11.6389 |
Status: | Published |
Publisher: | University of Illinois at Chicago Library |
Identification Number: | 10.5210/fm.v21i11.6389 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:107172 |