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Cole, C.; Beheshti, J.; Leide, J. E.; Large, A.: Interactive information retrieval : bringing the user to a selection state (2005)
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- Abstract
- There have been various approaches to conceptualizing interactive information retrieval (IR), which can be generally divided into system and user approaches (Hearst, 1999; cf. also Spink, 1997). Both system and user approaches define user-system interaction in terms of the system and the user reacting to the actions or behaviors of the other: the system reacts to the user's input; the user to the output of the system (Spink, 1997). In system approach models of the interaction, e.g., Moran (1981), "[T]he user initiates an action or operation and the system responds in some way which in turn leads the user to initiate another action and so on" (Beaulieu, 2000, p. 433). In its purest form, the system approach models the user as a reactive part of the interaction, with the system taking the lead (Bates, 1990). User approaches, on the other hand, in their purest form wish to insert a model of the user in all its socio-cognitive dimensions, to the extent that system designers consider such approaches impractical (Vakkari and Jarvelin, 2005, Chap. 7, this volume). The cognitive approach to IR interaction attempts to overcome this divide (Ruthven, 2005, Chap. 4, this volume; Vakkari and Jarvelin, 2005 Chap. 7, this volume) by representing the cognitive elements of both system designers and the user in the interaction model (Larsen and Ingwersen, 2005 Chap. 3, this volume). There are cognitive approach researchers meeting in a central ground from both the system and user side. On the system side, are computer scientists employing cognitive research to design more effective IR systems from the point of view of the user's task (Nathan, 1990; Fischer, Henninger, and Redmiles, 1991; O'Day and Jeffries, 1993; Russell et al., 1993; Kitajima and Polson, 1996; Terwilliger and Polson, 1997). On the user side are cognitive approach researchers applying methods, concepts and models from psychology to design systems that are more in tune with how users acquire information (e.g., Belkin, 1980; Ford (2005, Chap. 5, this volume); Ingwersen (Larsen and Ingwersen, 2005, Chap. 3, this volume); Saracevic, 1996; Vakkari (Vakkari and Jarvelin, 2005, Chap. 7, this volume)).
- Source
- New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
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Large, A.; Beheshti, J.; Cole, C.: Information architecture for the Web : the IA matrix approach to designing children's portals (2002)
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Large, A.; Beheshti, J.; Rahman, T.: Design criteria for children's Web portals : the users speak out (2002)
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- Date
- 2. 6.2005 10:34:22
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Cole, C.; Leide, J.E.; Large, A,; Beheshti, J.; Brooks, M.: Putting it together online : information need identification for the domain novice user (2005)
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Cole, C.; Leide, J.; Beheshti, J.; Large, A.; Brooks, M.: Investigating the Anomalous States of Knowledge hypothesis in a real-life problem situation : a study of history and psychology undergraduates seeking information for a course essay (2005)
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Yi, K.; Beheshti, J.; Cole, C.; Leide, J.E.; Large, A.: User search behavior of domain-specific information retrieval systems : an analysis of the query logs from PsycINFO and ABC-Clio's Historical Abstracts/America: History and Life (2006)
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Leide, J.E.; Cole, C.; Beheshti, J.; Large, A.; Lin, Y.: Task-based information retrieval : structuring undergraduate history essays for better course evaluation using essay-type visualizations (2007)
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Leide, J.E.; Large, A.; Beheshti, J.; Brooks, M.; Cole, C.: Visualization schemes for domain novices exploring a topic space : the navigation classification scheme (2003)
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Beheshti, J.; Cole, C.; Abuhimed, D.; Lamoureux, I.: Tracking middle school students' information behavior via Kuhlthau's ISP Model : temporality (2015)
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Cole, C.; Beheshti, J.; Abuhimed, D.; Lamoureux, I.: ¬The end game in Kuhlthau's ISP Model : knowledge construction for grade 8 students researching an inquiry-based history project (2015)
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Beheshti, J.; Bowler, L.; Large, A.; Nesset, V.: Towards an alternative information retrieval system for children (2005)
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- Source
- New directions in cognitive information retrieval. Eds.: A. Spink, C. Cole
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Cole, C.; Lin, Y.; Leide, J.; Large, A.; Beheshti, J.: ¬A classification of mental models of undergraduates seeking information for a course essay in history and psychology : preliminary investigations into aligning their mental models with online thesauri (2007)
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