Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
PASTUSHENKO, O. HYNEK, J. HRUŠKA, T.
Originální název
Evaluation of User Interface Design Metrics using Generator of Realistic-Looking Dashboard Samples
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
aesthetics, dashboard, generator, usability guidelines, user testing
Autoři
PASTUSHENKO, O.; HYNEK, J.; HRUŠKA, T.
Vydáno
1. 8. 2021
ISSN
1468-0394
Periodikum
Expert Systems
Ročník
38
Číslo
5
Stát
Spojené království Velké Británie a Severního Irska
Strany od
1
Strany do
19
Strany počet
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="1468-0394", url="https://www.fit.vut.cz/research/publication/11981/" }
Dokumenty
Pastushenko_et_al-2019-Expert_Systems.pdf overleaf_snapshot.pdf