Studying the Utilization of a Map-Based Visualization with Vitality Datasets by Domain Experts
Kenji Wada,
Günter Wallner and
Steven Vos
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Kenji Wada: Department of Industrial Design, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Günter Wallner: Department of Industrial Design, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Steven Vos: Department of Industrial Design, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands
Geographies, 2022, vol. 2, issue 3, 1-18
Abstract:
With the rapid growth of information technology and geographic information science, many map-based visualization applications for decision-making have been proposed. These applications are used in various contexts. Our study provides empirical evidence of how domain experts utilize map-based data visualization for generating insights into vitality with respect to health-related concepts. We conducted a study to understand domain experts’ knowledge, approach, and experience. Nine domain experts participated in the study, with three experts each from the fields of government, business, and research. The study followed a mixed-methods approach involving an online survey, open-ended tasks, and semi-structured interviews. For this purpose, a map-based data visualization application containing various vitality-related datasets was developed for the open-ended tasks. Our study confirms the importance of maps in this domain but also shows that vitality is strongly geographical. Furthermore, we found that map-based visualizations require multiple data sources and dimensions to enhance the utilization of them in the context of vitality. Therefore, our study suggests the necessity of a combination of multiple datasets as ‘vitality themes’ to efficiently communicate this particular subject to experts. As such, our results provide guidelines for designing map-based data visualizations that support the decision-making process across various domain experts in the field of vitality.
Keywords: geovisualization; map-based visualization; vitality; domain experts; open-ended tasks (search for similar items in EconPapers)
JEL-codes: Q1 Q15 Q5 Q53 Q54 Q56 Q57 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jgeogr:v:2:y:2022:i:3:p:24-396:d:852372
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