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PASTUSHENKO, O.; HYNEK, J.; HRUŠKA, T.
Original Title
Evaluation of User Interface Design Metrics using Generator of Realistic-Looking Dashboard Samples
English Title
Type
WoS Article
Original 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.
English abstract
Keywords
aesthetics, dashboard, generator, usability guidelines, user testing
Key words in English
Authors
RIV year
2020
Released
01.08.2021
ISBN
1468-0394
Periodical
EXPERT SYSTEMS
Volume
38
Number
5
State
United Kingdom of Great Britain and Northern Ireland
Pages from
1
Pages to
19
Pages count
URL
https://www.fit.vut.cz/research/publication/11981/
BibTex
@article{BUT162076, author="Olena {Pastushenko} and Jiří {Hynek} and Tomáš {Hruška}", title="Evaluation of User Interface Design Metrics using Generator of Realistic-Looking Dashboard Samples", journal="EXPERT SYSTEMS", year="2021", volume="38", number="5", pages="1--19", doi="10.1111/exsy.12434", issn="0266-4720", url="https://www.fit.vut.cz/research/publication/11981/" }
Documents
overleaf_snapshotPastushenko_et_al-2019-Expert_Systems