Data Visualization in Society 2020
DOI: 10.5117/9789463722902_ch08
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Evaluating data visualization : Broadening the measurements of success

Abstract: This chapter investigates the evaluation of data visualizations using observational research in an award-winning design studio. It outlines some professional and commercial forces that are involved in the shaping of evaluative strategies and identifies differences in methods and forms of evaluation in projects with different aims and intended audiences. The research showed that alongside quantitative headline figures of consumption, such as audience reach and interaction, qualitative measures of audience exper… Show more

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Cited by 3 publications
(3 citation statements)
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“…However, adopting this attitude requires a recognition of the epistemology of professional practice as being distinct from the epistemology of academic research [82]. Future work can investigate ways of training data visualization designers in relation to studio practices [76,88], such as the use of critique [20,35], and the development of a design identity [39].…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…However, adopting this attitude requires a recognition of the epistemology of professional practice as being distinct from the epistemology of academic research [82]. Future work can investigate ways of training data visualization designers in relation to studio practices [76,88], such as the use of critique [20,35], and the development of a design identity [39].…”
Section: Limitations and Future Workmentioning
confidence: 99%
“…Determination of "success": Participants mentioned that the determination of success among COVID-19 visualizations included traditional metrics, such as the number of web traffic/views, total times of media coverage, number of "embeds" (if applicable), usability (e.g., visualizations work properly throughout the course of the pandemic), and clarity (e.g., less clarification questions). These metrics were similar to those used in academia [50,55].…”
Section: The Termination Phasementioning
confidence: 95%
“…One limitation of Twitter is the lack of rich data that may otherwise be available in conversations taking place among practitioners. Future work could take an ethnographic approach, collecting much richer data on the negotiations taking place among visualization designers (e.g., in a visualization design studio [18]). Our analysis is preliminary and shows that conversations of different types are indeed taking place.…”
Section: Summary and Future Workmentioning
confidence: 99%