A Review and Analysis of Evaluation Practices in VIS Domain Applications

This paper presents a review and analysis of evaluation practices within the visualization and visual analytics (VIS) domain, with a focus on domain application work accepted at the IEEE VIS conference from 2018 to 2022. Through the analysis of 140 pertinent papers, we establish a detailed classific...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 13. Sept.
1. Verfasser: Xing, Yiwen (VerfasserIn)
Weitere Verfasser: Cantareira, Gabriel D, Borgo, Rita, Abdul-Rahman, Alfie
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article
Beschreibung
Zusammenfassung:This paper presents a review and analysis of evaluation practices within the visualization and visual analytics (VIS) domain, with a focus on domain application work accepted at the IEEE VIS conference from 2018 to 2022. Through the analysis of 140 pertinent papers, we establish a detailed classification principle for evaluation practices, using the Who, When, What, and How indicators. This principle covers facets such as analysis methods, targets, scenarios, participant expertise, and stages of occurrence. By systematically categorizing the application domains presented in these works, we apply our established classification principle to discern and categorize the evaluation practices within them, identifying the prevailing characteristics and trends. The paper explores the variety of evaluation methods employed across different application domains and observes the distinctions in their usage. In conclusion, we provide insights and highlight concerns for conducting evaluations in upcoming domain application research. Our findings are intended to inform and guide subsequent studies in a similar context. All information about the reviewed papers, the coding results, and the detailed data analysis process can be accessed at https://github.com/narrating-complexity/vis_evaluation_analysis
Beschreibung:Date Revised 13.09.2024
published: Print-Electronic
Citation Status Publisher
ISSN:1941-0506
DOI:10.1109/TVCG.2024.3460181