MNav: A Markov Model-Based Web Site Navigability Measure

  • Authors:
  • Yuming Zhou;Hareton Leung;Pinata Winoto

  • Affiliations:
  • -;-;-

  • Venue:
  • IEEE Transactions on Software Engineering
  • Year:
  • 2007

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Abstract

Website success is significantly associated with navigability, an important attribute of usability that denotes the ease with which users find desired information as they move through a website. Navigable websites allow users to form a mental model of the type and location of information in the website and an expectation of where and to what a particular hyperlink will lead. Existing navigability measures are based mainly on the static hyperlink structure of a website. Such measures, however, have two main drawbacks: 1) the effect on navigability of link structure cannot be well characterized; and 2) the effect on navigability of the navigation aids (such as the "°Back"卤 button provided by a browser) is ignored. In this paper, we abstract dynamic web surfing behavior as a Markov model and use this as the basis of a novel navigability measure, MNav. An empirical validation shows that MNav provides an effective and useful measurement of website navigability.