Sat, 26 Jul 2008 16:56:50 BST CiteULike: acslab information-seeking http://www.citeulike.org/user/acslab/tag/information-seeking CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/acslab/article/2775056 <i>ACM Trans. Comput.-Hum. Interact., Vol. 15, No. 1. (May 2008), pp. 1-25.</i> Investigating the Roles of Knowledge and Cognitive Abilities in Older Adult Information Seeking on the Web Joseph Sharit Mario Hernández Sara Czaja Peter Pirolli doi:10.1145/1352782.1352785 ACM Trans. Comput.-Hum. Interact., Vol. 15, No. 1. (May 2008), pp. 1-25. 2008-05-09T09:42:33-00:00 2008 ACM Trans. Comput.-Hum. Interact. 1073-0516 15 1 1 25 ACM aging information-seeking http://www.citeulike.org/user/acslab/article/2719627 <i>(2008), pp. 1197-1206.</i> Large scale analysis of web revisitation patterns Eytan Adar Jaime Teevan Susan Dumais doi:10.1145/1357054.1357241 (2008), pp. 1197-1206. 2008-04-25T22:33:40-00:00 2008 1197 1206 ACM information-seeking http://www.citeulike.org/user/acslab/article/2719604 <i>(2008), pp. 999-1008.</i> What to do when search fails: finding information by association Duen Chau Brad Myers Andrew Faulring doi:10.1145/1357054.1357208 (2008), pp. 999-1008. 2008-04-25T22:27:41-00:00 2008 999 1008 ACM exploratory-search information-seeking http://www.citeulike.org/user/acslab/article/2719593 <i>(2008), pp. 677-680.</i> CiteSense: supporting sensemaking of research literature Xiaolong Zhang Yan Qu Lee Giles Piyou Song doi:10.1145/1357054.1357161 (2008), pp. 677-680. 2008-04-25T22:22:58-00:00 2008 677 680 ACM information-seeking sense-making http://www.citeulike.org/user/acslab/article/2714450 <i>(2008), pp. 39-48.</i> Knowledge in the head and on the web: using topic expertise to aid search Geoffrey Duggan Stephen Payne doi:10.1145/1357054.1357062 (2008), pp. 39-48. 2008-04-24T21:49:56-00:00 2008 39 48 ACM expertise information-seeking http://www.citeulike.org/user/acslab/article/2688302 <i>Psychological Review, Vol. 106, No. 4. (1 October 1999), pp. 643-675.</i><br /><br />Information foraging theory is an approach to understanding how strategies and technologies for information seeking, gathering, and consumption are adapted to the flux of information in the environment. The theory assumes that people, when possible, will modify their strategies or the structure of the environment to maximize their rate of gaining valuable information. The theory is developed by (a) adaptation (rational) analysis of information foraging problems and (b) a detailed process model (adaptive control of thought in information foraging [ACT-IF]). The adaptation analysis develops (a) information patch models, which deal with time allocation and information filtering and enrichment activities in environments in which information is encountered in clusters; (b) information scent models, which address the identification of information value from proximal cues; and (c) information diet models, which address decisions about the selection and pursuit of information items. ACT-IF is instantiated as a production system model of people interacting with complex information technology. Information Foraging Peter Pirolli Stuart Card doi:10.1037/0033-295X.106.4.643 Psychological Review, Vol. 106, No. 4. (1 October 1999), pp. 643-675. 2008-04-18T16:23:09-00:00 1999 Psychological Review 106 4 643 675 adaptive information-seeking models