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Advancement in Information Foraging Theory
Departmentof Computer Science, Pondicherry University, Pondicherry, India
Departmentof Computer Science, Pondicherry University, Pondicherry, India
- 1 Departmentof Computer Science, Pondicherry University, Pondicherry, India
- 2 Departmentof Computer Science, Pondicherry University, Pondicherry, India
Intelligent Information Management·Volume 04 (2012)·Pages 383–389·Published 20 November 2012·DOI10.4236/iim.2012.46042
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Abstract
This paper presents the advantages of information foraging theory matched with traditional information retrieval theory and user behavior analysis theory, a search content framework for information foraging theory is described, on a thor- ough review of the two research branches i.e. the basic concept of information foraging theory and the elementary mod- els of information foraging theory, an extended framework is proposed,. Several problems for future research are also identified through.
KeywordsInformation ForagingInformation ScentPatch-ModelsDiet-ModelsMarginal-ValueForaging Theory
- K. Annan, Secretary General of the UN Global Knowledge Conference, Canada, 22 June 1997.
- P. Pirolli and S. K. Card, “Information Foraging in Information Access Environments,” Proceedings of the CHI’95, ACM Conference on Human Factors in Software, ACM Press, New York, 1995, pp. 51-58. doi:10.1145/223904.223911
- S. K. Card, P. Pirolli, M. Van Der Wege, et al., “Information Scent as a Driver of Web Behavior Graphs,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2001, pp. 498-505.
- Ed. H. Chi, Pirolli, et al., “Using Information Scent to Model User Information Needs and Actions and the Web,” Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 2001, pp. 490-497.
- A. Gonzalez, “Hot on the Scent of Information,” 2008. http://www.wired.com/science/discoveries/news/2001/06/44321
- P. Pirolli, “The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web,” Adaptive Perspective on Human-Technology Interaction: Methods & Models for Cognitive Engineering and Human-Computer Interaction, University Press, Oxford, pp. 247-266.
- P. Pirolli, “Information Foraging Theory,” Oxford University Press, New York, 2007, pp. 31-35. doi:10.1093/acprof:oso/9780195173321.001.0001
- R. Baeza-Yates and B. Ribeiro-Neto, “Modern Information Retrieval,” Mechanical Industry Press, Beijing, 2005.
- P. Pirolli, “Information Foraging Theory,” Oxford University Press, New York, 2007, pp. 35-39. doi:10.1093/acprof:oso/9780195173321.001.0001
- S. K. Card, P. Pirolli, M. Van Der Wege, et al., “Information Scent as a Driver of Web Behavior Graphs: Results of a Protocol Analysis Method for Web Usability,” ACM Conference on Human Factors in Computing Systerms, CHI Letters, Vol. 3, No. 1, 2001, pp. 498-505.
- S. Lambros, “Investigating the Applicability of Information Foraging Theory to Mobile Web Browsing,” Virginia Polytechnic Institute and State University School of Computer Science and Applications, Virginia, 2005.
- S. S. Sundar, S. Knobloch-Westerwick and M. R. Hastall, “News Cues: Information Scent and Cognitive Heuristics,” Journal of the American Society for Information Science and Technology, Vol. 58, No. 3, 2007, pp. 366- 378.
- J. H. Barkow, L. Cosmides and J. Tooby, “The Adapted Mind: Evolutionary Psychology and the Generation of Culture,” Oxford University Press, Oxford, 1992.