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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130786" target="_blank" >RIV/00216305:26230/18:PU130786 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/research/publication/11827/" target="_blank" >https://www.fit.vut.cz/research/publication/11827/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/10447318.2018.1518004" target="_blank" >10.1080/10447318.2018.1518004</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

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

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION

ISSN

1044-7318

e-ISSN

1532-7590

Svazek periodika

35

Číslo periodika v rámci svazku

13

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

1203-1215

Kód UT WoS článku

000472742500007

EID výsledku v databázi Scopus

2-s2.0-85053562974