Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
User's Web Page Aesthetics Opinion: A Matter of Low-Level Image Descriptors Based on MPEG-7
Año:2017
Áreas de investigación
  • Ingenierías,
  • Ciencias de la computación y tecnología informática,
  • Interactividad
Datos
Descripción
Analyzing a user's first impression of a Web site is essential for interface designers, as it is tightly related to their overall opinion of a site. In fact, this early evaluation affects user navigation behavior. Perceived usability and user interest (e.g., revisiting and recommending the site) are parameters influenced by first opinions. Thus, predicting the latter when creating a Web site is vital to ensure users? acceptance. In this regard, Web aesthetics is one of the most influential factors in this early perception. We propose the use of low-level image parameters for modeling Web aesthetics in an objective manner, which is an innovative research field. Our model, obtained by applying a stepwise multiple regression algorithm, infers a user's first impression by analyzing three different visual characteristics of Web site screenshots?texture, luminance, and color?which are directly derived from MPEG-7 descriptors. The results obtained over three wide Web site datasets (composed by 415, 42, and 6 Web sites, respectively) reveal a high correlation between low-level parameters and the users? evaluation, thus allowing a more precise and objective prediction of users? opinion than previous models that are based on other image characteristics with fewer predictors. Therefore, our model is meant to support a rapid assessment of Web sites in early stages of the design process to maximize the likelihood of the users? final approval.
Internacional
Si
JCR del ISI
Si
Título de la revista
Acm Transactions on the Web
ISSN
1559-1131
Factor de impacto JCR
1,061
Información de impacto
Datos JCR del año 2015
Volumen
11
DOI
10.1145/3019595
Número de revista
1
Desde la página
1
Hasta la página
25
Mes
ABRIL
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Silvia Alba Uribe Mayoral (UPM)
  • Autor: Federico Alvarez Garcia (UPM)
  • Autor: Jose Manuel Menendez Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Aplicación de Telecomunicaciones Visuales (G@TV)
  • Centro o Instituto I+D+i: Centro de I+d+i en Procesado de la Información y Telecomunicaciones
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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