Cognitive walkthrough for the web

By Marilyn Hughes Blackmon, Peter G. Polson, Muneo Kitajima, Clayton H. Lewis. International Conference on Human Factors in Computing Systems, 2002

295 citations recorded by the source corpus.

This paper proposes a transformation of the Cognitive Walkthrough (CW), a theory-based usability inspection method that has proven useful in designing applications that support use by exploration. The new Cognitive Walkthrough for the Web (CWW) is superior for evaluating how well websites support users' navigation and information search tasks. The CWW uses Latent Semantic Analysis to objectively estimate the degree of semantic similarity (information scent) between representative user goal statements (100-200 words) and heading/link texts on each web page. Using an actual website, the paper shows how the CWW identifies three types of problems in web page designs. Three experiments test CWW predictions of users' success rates in accomplishing goals, verifying the value of CWW for identifying these usability problems

Subfields: Artificial Intelligence, Information Systems, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/ea4623a432e571d1e29055edc312f0cb6037e6ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hussein A. Abbass
2. George Leu

In Information Systems

1. Hussein A. Abbass
2. George Leu

In Human-Computer Interaction

1. Christophe Kolski
2. Thomas Mahatody
3. Mouldi Sagar

Citations in the corpus

• State of the Art on the Cognitive Walkthrough Method, Its Variants and Evolutions (2010, methodology): “CWW is a method for detecting and fixing errors that occur when browsing and searching for information on a Web site ( Blackmon, Polson, Kitajima, & Lewis, 2002 ; Kitajima, 2006 ).”