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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU135354" target="_blank" >RIV/00216305:26230/19:PU135354 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.fit.vut.cz/research/publication/11981/" target="_blank" >https://www.fit.vut.cz/research/publication/11981/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1111/exsy.12434" target="_blank" >10.1111/exsy.12434</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Expert Systems

  • ISSN

    0266-4720

  • e-ISSN

    1468-0394

  • Volume of the periodical

    2020

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

    000483667500001

  • EID of the result in the Scopus database

    2-s2.0-85071534891