Chapter Introduction | Web Resources | Assignment Comments | Teaching Materials

- Resources for controlled experiments
- Resources for User testing
- Resources for Fitts' law

Controlled experiments

http://www.otal.umd.edu/hci-rm/cntlexp.html
This is one of the best sites for learning about questionnaires. In addition to descriptions and good references the site also contains templates for you to try out or to build your own questionnaires. The results can be mailed either to yourself or someone else. The questionnaire templates provide questions with Likert or Semantic scales. There are also fields for open-ended text comments. Clicking on a small icon next to each Likert scale question causes a open-ended comment area are to be produced.

User testing

http://usableweb.com/
One of the first links on Keith Instone's usableweb site is to a page of links about user testing. The usability testing page here provides practical advice to help novices. For example, it discusses the basics of usability testing, how to adapt basic techniques for different situations, whether testing needs to be done in a laboratory and many other important issues. There are also links to articles and to guidelines.

http://www.useit.com/papers/heuristic/
Jakob Nielsen's site is devoted to convincing readers about the value of heuristic evaluation and it contains references to studies that compare heuristic evaluation with other techniques including user testing.

http://www.bls.gov/ore/htm_papers/st960160.htm
This paper by Michael Levi and Frederick Conrad discusses a study in which heuristic evaluation was used to evaluate a World Wide Web prototype.

http://www.eecs.umich.edu/~kieras/goms.html
David Kieras has worked to extend GOMS by developing the NGOMSL notation and others, for which he provides links on this page. A useful selection of 'how to' resources is also available.

 
Fitts' Law

http://www.otal.umd.edu/hci-rm/theory.html
This site provides a short description of Fitts' Law and has links to other sites.

http://www.yorku.ca/mack/
Scott MacKenzie's home page contains links to his many papers on Fitts' Law and there is also a section with links to introductory material.

http://www.yorku.ca/mack/phd.html
This link to Scott MacKenzie's (1991) Doctoral Thesis provides a lot of information for those who want to study Fitts' Law in depth.