User Evaluation of Map-Based Visual Analytic Tools Article Swipe

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Stanislav Popelka , Lukáš Heřman , Tomáš Řezník , Michaela Pařilová , Karel Jedlička , Jiří Bouchal , Michal Kepka , Karel Charvát ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.3390/ijgi8080363

Big data have also become a big challenge for cartographers, as the majority of big data may be localized. The use of visual analytics tools, as well as comprising interactive maps, stimulates inter-disciplinary actors to explore new ideas and decision-making methods. This paper deals with the evaluation of three map-based visual analytics tools by means of the eye-tracking method. The conceptual part of the paper begins with an analysis of the state-of-the-art and ends with the design of proof-of-concept experiments. The verification part consists of the design, composition, and realization of the conducted eye-tracking experiment, in which three map-based visual analytics tools were tested in terms of user-friendliness. A set of recommendations on GUI (graphical user interface) design and interactive functionality for map makers is formulated on the basis of the discovered errors and shortcomings in the assessed stimuli. The results of the verification were used as inputs for improving the three tested map-based visual analytics tools and might serve as a best practice for map-based visual analytics tools in general, as well as for improving the policy making cycle as elaborated by the European project PoliVisu (Policy Development based on Advanced Geospatial Data Analytics and Visualization).

Related Topics

Computer Science

Spatial Analysis

Data Science

Visualization (Graphics)

Big Data

Human–Computer Interaction

Usability

Eye Tracking

Graphical User Interface

Data Mining

Artificial Intelligence

Concepts

Visual analytics Computer science Interactive visual analysis Analytics Geospatial analysis Data science Visualization Cultural analytics Big data Human–computer interaction Set (abstract data type) Usability Eye tracking Graphical user interface Semantic analytics Data mining Information retrieval Artificial intelligence Geography Programming language Semantic Web Cartography Semantic Web Stack

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Type: article
Language: en
Landing Page: https://doi.org/10.3390/ijgi8080363
PDF: https://www.mdpi.com/2220-9964/8/8/363/pdf?version=1566297666
OA Status: gold
Cited By: 20
References: 61
Related Works: 10
OpenAlex ID: https://openalex.org/W2969383759

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OpenAlex ID: https://openalex.org/W2969383759

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DOI: https://doi.org/10.3390/ijgi8080363

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Title: User Evaluation of Map-Based Visual Analytic Tools

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Language: en

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Publication year: 2019

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Publication date: 2019-08-20

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Authors: Stanislav Popelka, Lukáš Heřman, Tomáš Řezník, Michaela Pařilová, Karel Jedlička, Jiří Bouchal, Michal Kepka, Karel Charvát

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Landing page: https://doi.org/10.3390/ijgi8080363

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Concepts: Visual analytics, Computer science, Interactive visual analysis, Analytics, Geospatial analysis, Data science, Visualization, Cultural analytics, Big data, Human–computer interaction, Set (abstract data type), Usability, Eye tracking, Graphical user interface, Semantic analytics, Data mining, Information retrieval, Artificial intelligence, Geography, Programming language, Semantic Web, Cartography, Semantic Web Stack

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Cited by: 20

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Citations by year (recent): 2025: 2, 2024: 4, 2023: 3, 2021: 4, 2020: 5

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