Triggers and barriers to customizing software
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
User support: considerations, features, and issues
Advances in human-computer interaction (vol. 3)
User customization of a word processor
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An evaluation of a multiple interface design solution for bloated software
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comparison of static, adaptive, and adaptable menus
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interface feature prioritization for web services: Case of online flight reservations
Computers in Human Behavior
Using patterns to support the design of flexible user interaction
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
Making interactive systems more flexible: an approach based on users' participation and norms
Proceedings of the IX Symposium on Human Factors in Computing Systems
Finding the right way for interrupting people improving their sitting posture
INTERACT'11 Proceedings of the 13th IFIP TC 13 international conference on Human-computer interaction - Volume Part II
Interactivity as self-expression: a field experiment with customization and blogging
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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One of the key e-commerce challenges is to maintain an increasing amount of information up-to-date. This is a challenging task because frequently there is a substantial amount of data being created under tight deadlines. It is important that data management tools used for these tasks are efficient and easy to use. The present study describes the effect of UI content customization on learnability and perceived workload. Participants were asked to create 20 different products using four different web prototypes that varied in content density and customization capability. Mean time on task over 20 trials was fit using a power function and perceived workload was collected using NASA Task Load Index. The results obtained indicate that content customization allows users to reach peak performance faster and reduce task learning. Also, content customization reduces perceived mental demand and frustration as content density increases. Finally, participants performed faster and with higher satisfaction under the customization conditions.