Problem domain categories in requirements engineering
International Journal of Human-Computer Studies
A user input and analysis tool for information architecture
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Vacations or groceries?: purchase modeling and loyalty programs
Proceedings of the 2003 conference on Designing for user experiences
A new quantitative assessment tool for computer science programs
ITiCSE '05 Proceedings of the 10th annual SIGCSE conference on Innovation and technology in computer science education
Playing your cards right: getting the most from card sorting for navigation design
interactions - HCI & Higher Education
Scaling the card sort method to over 500 items: restructuring the Google AdWords help center
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Usability evaluation of library online catalogues
AUIC '06 Proceedings of the 7th Australasian User interface conference - Volume 50
Online card sorting: as good as the paper version
Proceedings of the 13th Eurpoean conference on Cognitive ergonomics: trust and control in complex socio-technical systems
Utilizing pathfinder in the design of an intranet website
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Item sampling for information architecture
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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When using the card sorting technique, the goal of a user experience researcher is to determine the user's expected information architecture. Card sorting is a knowledge elicitation method where users are given labeled cards and are asked to place them into groups. This method is commonly used to determine a natural navigation structure for a group of users. We examine the impact of priming, an implicit memory effect in which exposure to a stimulus influences response to a later stimulus, on this popular user-centered design method. A control group did the card sort only, while the experimental group watched a short presentation before performing their card sorts. The dependent measure was the percentage of agreement of each card sort against the typical sort. The primed group sort was significantly more similar to the typical response than the control group. This study provides evidence that card sorting can be modulated by priming.