User's web page aesthetics opinion: a matter of low-level image descriptors based on MPEG-7

Uribe Mayoral, Silvia; Álvarez García, Federico y Menéndez García, José Manuel (2017). User's web page aesthetics opinion: a matter of low-level image descriptors based on MPEG-7. "ACM Transactions on the Web", v. 11 (n. 1); pp. 1-25. ISSN 1559-1131. https://doi.org/10.1145/3019595.

Descripción

Título: User's web page aesthetics opinion: a matter of low-level image descriptors based on MPEG-7
Autor/es:
  • Uribe Mayoral, Silvia
  • Álvarez García, Federico
  • Menéndez García, José Manuel
Tipo de Documento: Artículo
Título de Revista/Publicación: ACM Transactions on the Web
Fecha: Abril 2017
Volumen: 11
Materias:
Palabras Clave Informales: Aesthetics, Web site visual appeal, search engine evaluation, first impression, image descriptors, regression
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 46150
Identificador DC: http://oa.upm.es/46150/
Identificador OAI: oai:oa.upm.es:46150
Identificador DOI: 10.1145/3019595
URL Oficial: http://dl.acm.org/citation.cfm?doid=3062397.3019595
Depositado por: Memoria Investigacion
Depositado el: 30 May 2017 14:57
Ultima Modificación: 30 May 2017 14:57
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