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A comparison of static, adaptive, and adaptable menus
Author(s) -
Leah Findlater,
Joanna McGrenere
Publication year - 2004
Publication title -
citeseer x (the pennsylvania state university)
Language(s) - English
Resource type - Conference proceedings
ISBN - 1-58113-702-8
DOI - 10.1145/985692.985704
Subject(s) - personalization , computer science , control (management) , human–computer interaction , software , interface (matter) , user interface , world wide web , artificial intelligence , operating system , bubble , maximum bubble pressure method
Software applications continue to grow in terms of the number of features they offer, making personalization increasingly important. Research has shown that most users prefer the control afforded by an adaptable approach to personalization rather than a system-controlled adaptive approach. No study, however, has compared the efficiency of the two approaches. In a controlled lab study with 27 subjects we compared the measured and perceived efficiency of three menu conditions: static, adaptable and adaptive. Each was implemented as a split menu, in which the top four items remained static, were adaptable by the subject, or adapted according to the subject's frequently and recently used items. The static menu was found to be significantly faster than the adaptive menu, and the adaptable menu was found to be significantly faster than the adaptive menu under certain conditions. The majority of users preferred the adaptable menu overall. Implications for interface design are discussed.

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