Related resources
Search for item elsewhere
University researcher(s)
Academic department(s)
Visual Complexity and Aesthetic Perception of Web pages
Michailidou, E; Harper, S; Bechhofer, S
In: Costa, C J; Protopsaltis, A; Aparicio, M; Oneill, H. 26th ACM International Conference on Design of Communication: 26th ACM International Conference on Design of Communication; 22 Sep 2008-24 Sep 2008; Lisbon, PORTUGAL. Assoc Computing Machinery; 2008. p. 215-223.
Access to files
Full-text and supplementary files are not available from Manchester eScholar. Use our list of Related resources to find this item elsewhere. Alternatively, request a copy from the Library's Document supply service.
Abstract
The visual appearance of a Web page influences the way a user will interact with the page. Web page structural elements (such as text, tables, links, and images) and their characteristics (such as colour and size) are used to determine the visual presentation and complexity level of a Web page. We theorise that by understanding a user's visual and aesthetic perception of a Web page we can understand the cognitive effort required for interaction with that page. This paper describes an investigation into user perception of the visual complexity and aesthetic appearance of Web pages. Results show a strong and high correlation between users' perception of visual complexity, structural elements (links, images, words and sections) and aesthetic appearance (organisation, clearness, cleanliness, interestingness and beautifulness) of a Web page. We argue that the results should be used as a further understanding for keeping the balance between aesthetic appearance of a Web page and its visual complexity. Web pages will then be designed that can still be aesthetically attractive but also usable and not overloaded with information for the users.
Keyword(s)
Aesthetics; Computer Science, Information Systems; Computer Science, Software; Engineering; Telecommunications; ViCRAM; Visual Complexity; Visual Perception; Web Design
Bibliographic metadata
- Acm, Sigdoc Michailidou, Eleni Harper, Simon Bechhofer, Sean 28 NEW YORK BJI02