CONCLUSION

This chapter presented a UX evaluation approach consisting of three steps:: 1) select a collaborative tagging system containing the content for which we would like to evaluate the users' experience (Del.icio.us for web sites, Flickr and YouTube for multimedia content, Technorati for blogs); 2) employ an IR technique to extract semantics for users' tags and group them together by cluster of synonyms or related tags; 3) use the data automatically extracted from the clusters of tags to detect the overall impression of users (UX) over the selected content (web sites, multimedia systems, blogs, etc.) by grouping tags according to the semantic differential technique. We reported an example of how this evaluation approach can be applied on an ad-hoc collaborative tagging system. Anyway, this procedure can be applied to a wide range of collaborative tagging systems. In our test we asked users to add adjective tags to keep it controlled but generally we will have plenty of available tags already inserted by users of collaborative tagging systems. What do you mean by that? You need to explain further by re-writing this sentence.

Our approach suggests the importance of collaborative tagging systems in the evaluation of the end users experience. It seems to be a promising and cost effective alternative to questionnaires or interviews.