Thu, 24 Jul 2008 23:49:19 BST CiteULike: brusilovsky's 2470-081 http://www.citeulike.org/user/brusilovsky/tag/2470-081 CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/brusilovsky/article/2100703 <i>(2006), pp. 127-134.</i><br /><br />Increasingly, public transportation systems are equipped with Global Positioning Systems (GPS) connected to control centers through wireless networks. Controllers use this infrastructure to schedule and optimize operations and avoid organizational problems such as bunching. We have employed this existing infrastructure to compute highly personalized information and deliver it on PDAs and cell phones. In addition to guiding people using public transportation by showing them which bus they should take to reach specific destinations, we track their location to create spatial awareness to a community of users. An application of this technology, called Mobility Agents, has been created and tested for people with cognitive disabilities. About 7% of the U. S. population has a form of cognitive disability. Cognitive disabilities are limitations of the ability to perceive, recognize, understand, interpret, and respond to information. The ability to use public transportation can dramatically increase the independence of this population. The Mobility Agents system provides multimodal prompts to a traveler on handheld devices helping with the recognition of the "right" bus, for instance. At the same time, it communicates to a caregiver the location of the traveler and trip status. This article describes our findings at several levels. At a technical level, it outlines pragmatic issues including display issues, GPS reliability and networking latency arising from using handheld devices in the field. At a cognitive level, we describe the need to customize information to address different degrees and combinations of cognitive disabilities. At a user interface level, we describe the use of different mission status interface approaches ranging from 3D real-time visualizations to SMS and instant messaging-based text interfaces. Mobility agents: guiding and tracking public transportation users Alexander Repenning Andri Ioannidou doi:10.1145/1133265.1133292 (2006), pp. 127-134. 2007-12-12T21:58:03-00:00 2006 127 134 ACM 2470-081 adaptive-web mobile-guide personalization http://www.citeulike.org/user/brusilovsky/article/938329 <i>(2004), pp. 49-58.</i> Bluetooth and WAP push based location-aware mobile advertising system Lauri Aalto Nicklas G&\#246;thlin Jani Korhonen Timo Ojala doi:10.1145/990064.990073 (2004), pp. 49-58. 2006-11-09T21:25:45-00:00 2004 49 58 ACM Press 2470-081 advertisement en location-adaptive mobile-computing http://www.citeulike.org/user/brusilovsky/article/2008357 <i>Expert Systems with Applications, Vol. 29, No. 2. (August 2005), pp. 320-329.</i><br /><br />Adaptive Hypermedia systems are becoming more important in our everyday activities and users are expecting more intelligent services from them. The key element of a generic adaptive hypermedia system is the user model. Traditional machine learning techniques used to create user models are usually too rigid to capture the inherent uncertainty of human behavior. In this context, soft computing techniques can be used to handle and process human uncertainty and to simulate human decision-making. This paper examines how soft computing techniques, including fuzzy logic, neural networks, genetic algorithms, fuzzy clustering and neuro-fuzzy systems, have been used, alone or in combination with other machine learning techniques, for user modeling from 1999 to 2004. For each technique, its main applications, limitations and future directions for user modeling are presented. The paper also presents guidelines that show which soft computing techniques should be used according to the task implemented by the application. Modeling human behavior in user-adaptive systems: Recent advances using soft computing techniques E Frias-Martinez G Magoulas S Chen R Macredie doi:10.1016/j.eswa.2005.04.005 Expert Systems with Applications, Vol. 29, No. 2. (August 2005), pp. 320-329. 2007-11-28T23:33:26-00:00 2005 Expert Systems with Applications 29 2 320 329 2470-081 adaptive-hypermedia en fuzzy neural-network user-modeling http://www.citeulike.org/user/brusilovsky/article/1263375 <i>(2006), pp. 309-318.</i> User interface fa&\#231;ades: towards fully adaptable user interfaces Wolfgang Stuerzlinger Olivier Chapuis Dusty Phillips Nicolas Roussel doi:10.1145/1166253.1166301 (2006), pp. 309-318. 2007-04-28T14:05:47-00:00 2006 309 318 ACM Press 2470-072 2470-081 adaptability adaptive-interface en http://www.citeulike.org/user/brusilovsky/article/852698 <i>(2006), pp. 751-760.</i> A goal-oriented web browser Alexander Faaborg Henry Lieberman doi:10.1145/1124772.1124883 (2006), pp. 751-760. 2006-09-21T12:24:45-00:00 2006 751 760 ACM Press 2470-081 adaptive-interface agents www http://www.citeulike.org/user/brusilovsky/article/960014 <i>(2006), pp. 201-208.</i> Exploring the design space for adaptive graphical user interfaces Krzysztof Gajos Mary Czerwinski Desney Tan Daniel Weld doi:10.1145/1133265.1133306 (2006), pp. 201-208. 2006-11-23T23:18:02-00:00 2006 201 208 ACM Press 2470-072 2470-081 adaptive-interface empirical-study http://www.citeulike.org/user/brusilovsky/article/1246118 <i>User Modeling and User-Adapted Interaction, Vol. 13, No. 4. (1 November 2003), pp. 373-396.</i> User Attitudes Regarding a User-Adaptive eCommerce Web Site Sherman Alpert John Karat Clare-Marie Karat Carolyn Brodie John Vergo doi:10.1023/A:1026201108015 User Modeling and User-Adapted Interaction, Vol. 13, No. 4. (1 November 2003), pp. 373-396. 2007-04-23T22:54:56-00:00 2003 User Modeling and User-Adapted Interaction 13 4 373 396 2470-072 2470-081 e-commerce empirical-study open-user-model personalization user-centered-design user-control