Quality metrics for WEB page content representation in audio space

  • Authors:
  • Dominik Ďurikovič;Roman Ďurikovič

  • Affiliations:
  • Comenius University, Slovak republic;Comenius University, Slovak republic

  • Venue:
  • Proceedings of the 24th Spring Conference on Computer Graphics
  • Year:
  • 2008

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Abstract

Having well-defined measures of web page content representation can significantly improve design, development, testing and validating of audio interfaces. First metric is connected with data changes perception by reading users. Changes in the web page that are not important for the reader comparing to the previous version are called small changes on the web page. Changes with higher importance value for reader are called huge changes. Ability to catch relevant changes in source data document by audio space representation is important measurable attribute for users reading these data. This attribute is called web change perception for web pages. First, we describe evaluation of the web change perception and next we are measuring sound perception of these representations using linear regression and calculation by Mathematica system.