Using information scent to model user information needs and actions and the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatic Control Systems
Modeling Browsing Behavior at Multiple Websites
Marketing Science
International Journal of Computer Applications in Technology
A feedback control approach to maintain consumer information load in online shopping environments
Information and Management
First impressions count: exploring the importance of website categorisation
International Journal of Computer Applications in Technology
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This paper proposes a feedback control based adaptive scheme for providing choices for users in a web setting. We hypothesise that using this scheme for updating the number of choices presented produces an efficient method of user interaction. We conducted an experiment with 75 subjects who had to choose a computer they would buy, given monetary constraints, from a large choice set. We used various algorithms for the number of choices to be presented to the users in a time-sequential manner. One algorithm was the proposed simple feedback algorithm, which was proven by the data collected to be the most quality-efficient.