Automatically Personalizing User Interfaces
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1613-1618.
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.
@inproceedings{ijcai2003p282,
title = {Automatically Personalizing User Interfaces},
author = {Weld, Daniel S. and Anderson, Corin R. and Domingos, Pedro M. and Etzioni, Oren and Gajos, Krzysztof and Lau, Tessa A. and Wolfman, Steven A.},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1613--1618},
year = {2003},
url = {https://ijcai.org/proceedings/2003/282},
}
TY - CPAPER TI - Automatically Personalizing User Interfaces AU - Weld, Daniel S. AU - Anderson, Corin R. AU - Domingos, Pedro M. AU - Etzioni, Oren AU - Gajos, Krzysztof AU - Lau, Tessa A. AU - Wolfman, Steven A. T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1613 EP - 1618 UR - https://ijcai.org/proceedings/2003/282 ER -Copied
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