This website was restored in March 2007, and then upgraded in Spring 2009 to accommodate Unicode, by Richard Brown, M.S., Computer and Information Sciences, University of North Florida, 2005, richard@ribro.net
Principal Investigator and webmaster: Marilyn Hughes Blackmon, Ph.D.
Research Associate, Institute of Cognitive Science. University of Colorado at Boulder
Contact: blackmon@colorado.edu
New in 2009: Unicode-compatible versions of ACWW, the highly automated web-based interface for doing the Cognitive Walkthrough for the Web (CWW). Click this link to go to the ACWW Unicode-compatible website or try the beta version of the ACWW-XML Unicode-compatible website, a version under development that allows you to upload an XML file. A huge thank-you from all CWW researchers and other users to Richard Brown, who shares our enthusiasm for CWW and volunteered to create the highly automated ACWW original web-based interface as his thesis for his 2005 M.S. degree in Computer and Information Sciences at University of North Florida.
No login required to use ACWW.
ACWW, step 1: Enter one or more user goals.
ACWW, step 2: Enter the headings/links for one or more webpages.
ACWW, step 3-4: Designate webpages for each goal and correct heading(s) and correct link(s) for each goal on each webpage
ACWW, step 5a: Select the LSA semantic space and other options to define how you want ACWW to analyze the input.
For optimal efficiency: At step 5 you can enter multiple analyses for the same input set. This gives you the option to run the same set of goal(s) and webpage(s) in two or more different LSA semantic spaces and/or with two or more different sets of parameters for elaborating the heading/link tests in each semantic space.
ACWW, step 5b: Enter e-mail address where you want ACWW to e-mail the results.
ACWW will e-mail each set of results as a separate .zip compressed directory attached to a separate e-mail.
For each of the goals that you enter in ACWW, ACWW will automatically calculate the predicted mean total clicks (a measure of usability problem severity/difficulty reported at CHI2005 -- download the paper).
To use any of the original CWW online tools, now fully restored, click AutoCWW tools home page. These are web-specific adaptations of the tools available at the Latent Semantic Analysis website, http://lsa.colorado.edu
This material is based upon work supported by the National Science Foundation under Grant No. 0137759. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.