An Instrument for Evaluating the Quality of Data Visualizations

Barcellos, Raissa; Viterbo, José; Bernardini, Flávia; Trevisan, Daniela

doi:10.1109/iv.2018.00038

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…Evaluation of visualization heuristics 24 . An instrument for evaluating the quality of data visualizations 25 . Versus-A tool for evaluating visualizations and image quality using a 2AFC methodology 26 .…”

Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Evaluation Method for Information VisualizationProducts Based on Nielsen’s Ten Principles ofUsability and Analytic Hierarchy Process

liu

2023

Preprint

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The evaluation of information visualization products was crucial for their innovation and development. Thus, the purpose ofstudy was to establish a practical subjective evaluation system for information visualization products. We used the ten usabilityprinciples of interaction design expert Nielsen as usability evaluation indicators and employed the Analytic Hierarchy Process toconstruct an overall information visualization product evaluation system. We then selected some electrocardiogram products inthe category of medical devices as experimental samples and verified the reliability and effectiveness of the overall informationvisualization product subjective evaluation system through a quantitative questionnaire method. Therefore, the subjectiveevaluation system for information visualization products based on Nielsen’s ten usability principles and the Analytic HierarchyProcess had both reliability and validity. It could be used for the subjective evaluation of information visualization products,determining the popularity ranking of information visualization products, and was effectively applied to problems that weredifficult to solve with quantitative methods. It was a novel method for evaluating information visualization products.

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Section: Introductionmentioning

confidence: 99%

WITHDRAWN: Evaluation Method for Information VisualizationProducts Based on Nielsen’s Ten Principles ofUsability and Analytic Hierarchy Process

liu

2023

Preprint

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“…A combination of interactive and statistical techniques is necessary for a successful information visualization system (Perer & Shneiderman, 2009). Heuristic evaluation is a well-known instrument of evaluation in the area of Human-Computer Interaction (HCI), but in the Information Visualization area it is not used to the same extent (Barcellos, Viterbo, Bernardini, & Trevisan, 2018). The word "Heuristic evaluation" here is used to refer the process of evaluating user interface design and their usability problems.…”

Section: Evaluation Methodology For Visualizationsmentioning

confidence: 99%

“…Illustration 3: Taxonomic group for heuristics selection (Barcellos, Viterbo, Bernardini, & Trevisan, 2018).…”

Section: Evaluation Methodology For Visualizationsmentioning

confidence: 99%

“…"Time" can be one of the important metrics in our usability study while evaluating visualizations. Data Visualization should provide to the viewer the best possible interpretation in the shortest possible time (Barcellos, Viterbo, Bernardini, & Trevisan, 2018). Testing with Questionnaires help summarizing results.…”

Section: Evaluation Methodology For Visualizationsmentioning

confidence: 99%

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Data Visualization of Geospatial Data for Future Business Investments

Meruga¹

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Economic developers make elective decisions and solve problems in complex or ambiguous situations by gathering, diagnosing, and judiciously analyzing the information about the situation and environment in order to identify and evaluate options and select best course of action (Leigh, 2017). With increasing globalization and corresponding shifts in market and production infrastructures, the demand for a web-based tool to efficiently address these types of problem solving is increasing. The research undertaken for this study leverages recent developments in Asset Information Modelling (AIM)considered here as a framework for managing inter-related geometric, graphic and text data for asset management and customer engagement. Our study considers the qualities of user experience -including statistically significant changes in the workload and accuracy of decision making -by comparing text search and data visualizations.

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Computer-Assisted Heuristic Evaluation of Data Visualization

Zhu

Gumieniak

2021

Advances in Visual Computing

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An Instrument for Evaluating the Quality of Data Visualizations

Cited by 6 publications

References 11 publications

WITHDRAWN: Evaluation Method for Information VisualizationProducts Based on Nielsen’s Ten Principles ofUsability and Analytic Hierarchy Process

WITHDRAWN: Evaluation Method for Information VisualizationProducts Based on Nielsen’s Ten Principles ofUsability and Analytic Hierarchy Process

Data Visualization of Geospatial Data for Future Business Investments

Computer-Assisted Heuristic Evaluation of Data Visualization

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