Publication Details

Evaluation of User Interface Design Metrics using Generator of Realistic-Looking Dashboard Samples

PASTUSHENKO Olena, HYNEK Jiří and HRUŠKA Tomáš. Evaluation of User Interface Design Metrics using Generator of Realistic-Looking Dashboard Samples. Expert Systems, vol. 38, no. 5, 2021, pp. 1-19. ISSN 1468-0394.
Czech title
Využití generátoru realistických vzorků nástroje dashboard pro testování metrik hodnotících kvalitu návrhu uživatelských rozhraní
Type
journal article
Language
english
Authors
Keywords

aesthetics, dashboard, generator, usability guidelines, user testing

Abstract

The analysis of user interfaces using quantitative metrics is a straightforward way to quickly measure interface usability and other various design aspects (such as the suitability of page layout or selected colors). Development and evaluation of objective metrics corresponding with user perception, however, usually requires a sufficiently large training set of user interface samples. Finding real user interface samples might not be easy. Therefore, we rather use generated samples. In such case, we need to provide a realistic-looking appearance of samples. This paper describes a workflow of the preparation of such samples. It presents a configurable generator based on the composition of simple widgets according to a predefined model. It also describes a reusable library for simple creation of widgets using capabilities of the JavaScript framework Vue.js. Finally, we demonstrate the applicability of the generator on a generation of dashboard samples which are used to evaluate existing metrics of interface aesthetics and show the possibility of their improvement.

Published
2021
Pages
1-19
Journal
Expert Systems, vol. 38, no. 5, ISSN 1468-0394
Publisher
WILEY
DOI
UT WoS
000483667500001
EID Scopus
BibTeX
@ARTICLE{FITPUB11981,
   author = "Olena Pastushenko and Ji\v{r}\'{i} Hynek and Tom\'{a}\v{s} Hru\v{s}ka",
   title = "Evaluation of User Interface Design Metrics using Generator of Realistic-Looking Dashboard Samples",
   pages = "1--19",
   journal = "Expert Systems",
   volume = 38,
   number = 5,
   year = 2021,
   ISSN = "1468-0394",
   doi = "10.1111/exsy.12434",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11981"
}
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