Automatic evaluation of information dashboard usability Article Swipe

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YOU? · · 2015 · Open Access · · DOI: https://doi.org/10.15224/978-1-63248-044-6-118

This paper combines generally known knowledge about information dashboards and tools used for data visualization with findings in the field of visual perception and user interface evaluation, and discusses the idea of a new approach of information dashboard evaluation which predicts a rate of information dashboard usability and comprehensibility. Described approach is based on decomposing the evaluation problem into several views in which different aspects of dashboard usability are analyzed. Emphasis is put on automation of this approach, which can save time and money, on the contrary to testing on real users.

Related Topics

Usability

Computer Science

Dashboard

Human–Computer Interaction

Visualization (Graphics)

Automation

Data And Information Visualization

Data Science

Data Mining

Engineering

Mechanical Engineering

Concepts

Usability Computer science Dashboard Human–computer interaction Visualization Automation Usability engineering Data visualization World Wide Web Data science Data mining Engineering Mechanical engineering

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Type: article
Language: en
Landing Page: https://doi.org/10.15224/978-1-63248-044-6-118
PDF: https://www.seekdl.org/assets/pdf/20150501_071625.pdf
OA Status: gold
Cited By: 2
References: 27
Related Works: 10
OpenAlex ID: https://openalex.org/W2802033830

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OpenAlex ID: https://openalex.org/W2802033830

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DOI: https://doi.org/10.15224/978-1-63248-044-6-118

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Title: Automatic evaluation of information dashboard usability

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Type: article

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Language: en

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Publication year: 2015

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Publication date: 2015-04-19

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Authors: Jiří Hynek, Tomáš Hruška

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Landing page: https://doi.org/10.15224/978-1-63248-044-6-118

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PDF URL: https://www.seekdl.org/assets/pdf/20150501_071625.pdf

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OA status: gold

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OA URL: https://www.seekdl.org/assets/pdf/20150501_071625.pdf

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Concepts: Usability, Computer science, Dashboard, Human–computer interaction, Visualization, Automation, Usability engineering, Data visualization, World Wide Web, Data science, Data mining, Engineering, Mechanical engineering

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Cited by: 2

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Citations by year (recent): 2021: 1, 2016: 1

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References (count): 27

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Related works (count): 10

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