Detail publikace

Application of Object-Based Metrics for Recognition of Well-Designed Dashboards

HYNEK, J. HRUŠKA, T.

Originální název

Application of Object-Based Metrics for Recognition of Well-Designed Dashboards

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Measuring the characteristics of visually emphasized objects displayed on a screen seems to be a promising way to rate user interface quality. On the other hand, it brings us problems regarding the ambiguity of object recognition caused by the subjective perception of the users. The goal of this research is to analyze the applicability of chosen object-based metrics for the evaluation of dashboard quality and the ability to distinguish well-design samples, with the focus on the subjective perception of the users. This article presents the model for the rating and classification of object-based metrics according to their ability to objectively distinguish well-designed dashboards. We use the model to rate 13 existing object-based metrics of aesthetics. Then, we present a new approach for the improvement of the rating of one object-based metric - Balance. We base the improvement on the combination of the object-based metric with the pixel-based analysis of color distribution on the screen.

Klíčová slova

dashboard, metric-based evaluation, objectivity, aesthetics, subjective perception

Autoři

HYNEK, J.; HRUŠKA, T.

Vydáno

19. 9. 2018

Nakladatel

TAYLOR & FRANCIS INC

Místo

Philadelphia

ISSN

1044-7318

Periodikum

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION

Ročník

35

Číslo

13

Stát

Spojené státy americké

Strany od

1203

Strany do

1215

Strany počet

13

URL

https://www.fit.vut.cz/research/publication/11827/

BibTex

@article{BUT155094,
  author="Jiří {Hynek} and Tomáš {Hruška}",
  title="Application of Object-Based Metrics for Recognition of Well-Designed Dashboards",
  journal="INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION",
  year="2018",
  volume="35",
  number="13",
  pages="1203--1215",
  doi="10.1080/10447318.2018.1518004",
  issn="1044-7318",
  url="https://www.fit.vut.cz/research/publication/11827/"
}