As progressively more information and everyday tasks move to the domain of the Web, it is increasingly important to understand how users navigate and search in a Web environment. Whereas numerous studies have focused on specific questions and methods in analyzing selective aspects of this behavior, few have employed an integrative approach, taking multiple factors into account simultaneously. The Web Navigation and Searching (WEBNAS) analysis method presented here is a further step toward such a holistic understanding and analysis.
Considering Web navigation and searching behavior as a succession of decision situations, WEBNAS represents a methodological toolkit for a quasi-experimental design, consisting of modular elements that can be combined and adjusted in response to any specific research question. Data are collected via Webcam recordings of users' comments (think-aloud technique), gestures, postures, and facial expressions, screen-cam recordings of the computer interface, and online questionnaires. Additional suggestions for analysis are given. Finally, the first applications of the method are described and potential future uses discussed.