The Heuristic Evaluation of Web-Sites Concering the Evaluatiors' Expertise and the Apptropriate Criteria List Cover Image

The Heuristic Evaluation of Web-Sites Concering the Evaluatiors' Expertise and the Apptropriate Criteria List
The Heuristic Evaluation of Web-Sites Concering the Evaluatiors' Expertise and the Apptropriate Criteria List

Author(s): Andreas Pombortsis, Athanasis Karoulis
Subject(s): Education
Published by: Vilniaus Universiteto Leidykla
Keywords: user interface evaluation; usability; heuristic evaluation; web evaluation

Summary/Abstract: Research for the evaluation of web-sites has already begun, however it is proceeding at a very slow rate. The main reasons for this are, in our opinion, the attempt to adapt existing methodologies to the particularities of the web, the individual structure of web-sites and the issue of finding the appropriate evaluators. This study copes exactly with these points and suggests a heuristic approach for the evaluation of web-sites. In our study we tried primarily to train the evaluators in the particularities of the heuristic evaluation; in its classic form as well as in its web-adapted form. By doing this we try to answer the core question if we can augment the evaluators' expertise with a kind of training prior to the conduction of the evaluation itself. Next we used web-adapted heuristics, found in relative literature and tried to clarify them to the evaluators as well. Finally the evaluators were involved in a real evaluation of five web sites and they wrote down their comments on appropriately prepared questionnaires. The results from this study confirm firstly two known conclusions, that the method is applicable to the Web and that the prior evaluators' expertise is of great importance. Yet, in addition to these, we concluded that it is possible to augment, under conditions, this expertise in a short way so they have an increased performance during the evaluation as well. Our main conclusion is, however, that the used heuristic list performed inadequately, but we noted the trend of the evaluators following a somewhat similar mode of thinking, thus providing us with the way to adapt these heuristics in a more holistic approach to the web.

  • Issue Year: 3/2004
  • Issue No: 1
  • Page Range: 55-73
  • Page Count: 19
  • Language: English
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