Characterizing browsing strategies in the World-Wide Web
Proceedings of the Third International World-Wide Web conference on Technology, tools and applications
Users' interaction with World Wide Web resources: an exploratory study using a holistic approach
Information Processing and Management: an International Journal
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Introduction and overview: effective methods for studying information seeking and use
Journal of the American Society for Information Science and Technology
Beyond logs and surveys: in-depth measures of people's web use skills
Journal of the American Society for Information Science and Technology
Social Consequences of Internet Use: Access, Involvement, and Interaction
Social Consequences of Internet Use: Access, Involvement, and Interaction
Consumer reactions to electronic shopping on the world wide web
International Journal of Electronic Commerce
Survey Measures of Web-Oriented Digital Literacy
Social Science Computer Review
Using the taxonomy of cognitive learning to model online searching
Information Processing and Management: an International Journal
A Specialized Search Assistant for Learning Objects
ACM Transactions on the Web (TWEB)
Social Science Computer Review
Hi-index | 0.00 |
Research on how the Internet is diffusing across the population has broadened from questions about who uses the medium to what people do during their time online. With this change in focus comes a need for more detailed data on people's online actions. The author provides a method for coding and classifying users' online information-seeking behavior. The author presents an exhaustive list of ways in which a user may arrive at a web page. The proposed methodology includes enough nuanced information to distinguish among different search actions and links. In its entirety, the coding scheme makes it possible to understand many details about the users' sequence of actions simply by looking at the spreadsheet containing the information proposed in this article. The author also demonstrates the utility of this scheme with findings from a study on the information-seeking behavior of 100 randomly selected Internet users to exemplify the utility of this coding and classification scheme.