-
Cole, C.; Mandelblatt, B.: Using Kintsch's discourse comprehension theory to model the user's coding of an informative message from an enabling information retrieval system (2000)
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- Abstract
- With new interactive technology, information science can use its traditional information focus to increase user satisfaction by designing information retrieval systems (IRSs) that inform the user about her task, and help the user get the task done, while the user is on-line interacting with the system. By doing so, the system enables the user to perform the task for which the information is being sought. In previous articles, we modeled the information flow and coding operations of a user who has just received an informative IRS message, dividing the user's processing of the IRS message into three subsystem levels. In this article, we use Kintsch's proposition-based construction-integration theory of discourse comprehension to further detail the user coding operations that occur in each of the three subsystems. Our enabling devices are designed to facilitate a specific coding operation in a specific subsystem. In this article, we describe an IRS device made up of two separate parts that enable the user's (1) decoding and (2) encoding of an IRS message in the Comprehension subsystem
- Source
- Journal of the American Society for Information Science. 51(2000) no.11, S.1033-1046
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Cole, C.: Interaction with an enabling information retrieval system : modeling the user's decoding and encoding operations (2000)
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- Abstract
- With new interactive technology, we can increase user satisfaction by designing information retrieval systems that inform the user while the user is on-line interacting with the system. The purpose of this article is to model the information processing operations of a generic user who has just received an information message from the system and is stimulated by the message into grasping at a higher understanding of his or her information task or problem. The model consists of 3 levels, each of which forms a separate subsystem. In the Perseption subsystem, the user perceives the system message in a visual sense; in the Comprehension subsystem, the user must comprehend the system message; and in the Application subsystem, the user must (a) interpret the system message in terms of the user's task at hand, and (b) create and send a new message back to the system to complete the interaction. Because of the information process stimulated by the interaction, the user's new message forms a query to the system that more accurately represents the user's information need than would have been the case if the interaction had not taken place. This article proposes a device to enable clarification of the user's task, and thus his/her information need at the Application subsystem level of the model
- Source
- Journal of the American Society for Information Science. 51(2000) no.5, S.417-426
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Cole, C.: Activity of understanding a problem during interaction with an 'enabling' information retrieval system : modeling information flow (1999)
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- Date
- 22. 5.1999 14:51:49
- Source
- Journal of the American Society for Information Science. 50(1999) no.6, S.544-552
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Cole, C.: Shannon revisited : information in terms of uncertainty (1993)
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- Abstract
- Shannon's theory of communication is discussed from the point of view of his concept of uncertainty. It is suggested that there are two information concepts in Shannon, two different uncertainties, and at least two different entropy concepts. Information science focuses on the uncertainty associated with the transmission of the signal rather than the uncertainty associated with the selection of a message from a set of possible messages. The author believes the latter information concept, which is from the sender's point of view, has more to say to information science about what information is than the former, which is from the receiver's point of view and is mainly concerned with 'noise' reduction
- Source
- Journal of the American Society for Information Science. 44(1993) no.4, S.204-211
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Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011)
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- Abstract
- This article proposes a theory of information need for information retrieval (IR). Information need traditionally denotes the start state for someone seeking information, which includes information search using an IR system. There are two perspectives on information need. The dominant, computer science perspective is that the user needs to find an answer to a well-defined question which is easy for the user to formulate into a query to the system. Ironically, information science's best known model of information need (Taylor, 1968) deems it to be a "black box"-unknowable and nonspecifiable by the user in a query to the information system. Information science has instead devoted itself to studying eight adjacent or surrogate concepts (information seeking, search and use; problem, problematic situation and task; sense making and evolutionary adaptation/information foraging). Based on an analysis of these eight adjacent/surrogate concepts, we create six testable propositions for a theory of information need. The central assumption of the theory is that while computer science sees IR as an information- or answer-finding system, focused on the user finding an answer, an information science or user-oriented theory of information need envisages a knowledge formulation/acquisition system.
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
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Cole, C.: Operationalizing the notion of information as a subjective construct (1994)
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- Source
- Journal of the American Society for Information Science. 45(1994) no.7, S.465-476
-
Spink, A.; Cole, C.: Human information behavior : integrating diverse approaches and information use (2006)
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- Source
- Journal of the American Society for Information Science and Technology. 57(2006) no.1, S.25-35
