Automatically personalizing user interfaces

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Automatically personalizing user interfaces

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Title: Automatically personalizing user interfaces
Author: Weld, Daniel; Anderson, Corin; Domingos, Pedro; Etzioni, Oren; Gajos, Krzysztof Z; Lau, Tessa; Wolfman, Steve

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Citation: Weld, Daniel S., Corin Anderson, Pedro Domingos, Oren Etzioni, Krzysztof Gajos, Tessa Lau, and Steve Wolfman. 2003. Automatically personalizing user interfaces. In Proceedings of the 18th international joint conference on Artificial intelligence (IJCAI'03), Key West, FL, January 3-6, 2003:1613-1619.
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Abstract: Todays computer interfaces are one-size-fits-all. Users with little programming experience have very limited opportunities to customize an interface to their task and work habits. Furthermore, the overhead induced by generic interfaces will be proportionately greater on small form-factor PDAs, embedded applications and wearable devices. Automatic personalization may greatly enhance user productivity, but it requires advances in customization (explicit, user-initiated change) and adaptation (interface-initiated change in response to routine user behavior). In order to improve customization, we must make it easier for users to direct these changes. In order to improve adaptation, we must better predict user behavior and navigate the inherent tension between the dynamism of automatic adaptation and the stability required in order for the user to predict the computers behavior and maintain control. This paper surveys a decade's work on customization and adaptation at the University of Washington, distilling the lessons we have learned.
Published Version: http://dl.acm.org/citation.cfm?id=1630944
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:26564015
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