COGNITIVE PERSPECTIVES OF INFORMATION RETRIEVAL INTERACTION: ELEMENTS OF A COGNITIVE IR THEORY
Abstract
The objective of the paper is to amalgamate theories of text retrieval from various research traditions into a cognitive theory for information retrieval interaction. Set in a cognitive framework, the paper outlines the concept of polyrepresentation applied to both the user's cognitive space and the information space of IR systems. The concept seeks to represent the current user's information need, problem state, and domain work task or interest in a structure of causality. Further, it implies that we should apply different methods of representation and a variety of IR techniques of different cognitive and functional origin simultaneously to each semantic full‐text entity in the information space. The cognitive differences imply that by applying cognitive overlaps of information objects, originating from different interpretations of such objects through time and by type, the degree of uncertainty inherent in IR is decreased. Polyrepresentation and the use of cognitive overlaps are associated with, but not identical to, data fusion in IR. By explicitly incorporating all the cognitive structures participating in the interactive communication processes during IR, the cognitive theory provides a comprehensive view of these processes. It encompasses the ad hoc theories of text retrieval and IR techniques hitherto developed in mainstream retrieval research. It has elements in common with van Rijsbergen and Lalmas' logical uncertainty theory and may be regarded as compatible with that conception of IR. Epistemologically speaking, the theory views IR interaction as processes of cognition, potentially occurring in all the information processing components of IR, that may be applied, in particular, to the user in a situational context. The theory draws upon basic empirical results from information seeking investigations in the operational online environment, and from mainstream IR research on partial matching techniques and relevance feedback. By viewing users, source systems, intermediary mechanisms and information in a global context, the cognitive perspective attempts a comprehensive understanding of essential IR phenomena and concepts, such as the nature of information needs, cognitive inconsistency and retrieval overlaps, logical uncertainty, the concept of ‘document’, relevance measures and experimental settings. An inescapable consequence of this approach is to rely more on sociological and psychological investigative methods when evaluating systems and to view relevance in IR as situational, relative, partial, differentiated and non‐linear. The lack of consistency among authors, indexers, evaluators or users is of an identical cognitive nature. It is unavoidable, and indeed favourable to IR. In particular, for full‐text retrieval, alternative semantic entities, including Salton et al .'s ‘passage retrieval’, are proposed to replace the traditional document record as the basic retrieval entity. These empirically observed phenomena of inconsistency and of semantic entities and values associated with data interpretation support strongly a cognitive approach to IR and the logical use of polyrepresentation, cognitive overlaps, and both data fusion and data diffusion.
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The requirements for evidence synthesis are not always obvious to reviewers as they are used to navigational or exploratory searching that comes intuitively.
“The requirements for evidence synthesis are not always obvious to reviewers as they are used to navigational or exploratory searching that comes intuitively.78, 85, 86, 87”
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Cognitive space and information space
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Sustainability of digital information services
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Understanding Information Need
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- Authors
- INGWERSEN, P.
- Corresponding author
- INGWERSEN, PETER
- ORCID
- INGWERSEN, PETER
- Venue
- Journal of Documentation
- Publisher
- Emerald
- Published
- 1996-01-01
- Volume
- 52
- Issue
- 1
- Pages
- 3-50
- ISSN
- 0022-0418 (ISSN-L)
- OpenAlex
- W2008883775
- Cited by
- 717
- References
- 87
- Citations by year
- 2026: 12 · 2025: 7 · 2024: 12 · 2023: 19 · 2022: 16 · 2021: 14 · 2020: 14 · 2019: 24 · 2018: 22 · 2017: 20 · 2016: 34 · 2015: 29 · 2014: 40 · 2013: 29 · 2012: 34
- FWCI
- 48.17
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Documentation (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Keywords
- information needs, cognitive inconsistency, relevance feedback, partial matching, data fusion, full-text search, passage retrieval, information seeking, relevance measures, information space, concept of document
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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