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Predicting the utility of feedback judgements using cognitive load theory

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posted on 2018-07-24, 09:12 authored by Jonathan Back
Results from laboratory testing suggest that user-based relevance feedback can significantly improve retrieval performance. However outside the laboratory, feedback systems are rarely utilised when implemented. This thesis explores why users are often reluctant to provide feedback. Modelling interaction involves reconciling the need for prediction with the seemingly individual-specific effect of information. Information behaviour is guided by heuristics and not by logical analysis or deduction. Heuristics impose assumptions that are used to address a problem in a way that is compatible with an individual's knowledge schemata. This thesis argues that feedback heuristics are influenced by the cognitive load imposed on an individual. [Continues.]

Funding

Arts and Humanities Research Board (AHRB) (research studentship).

History

School

  • Science

Department

  • Information Science

Publisher

© J. Back

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2003

Notes

A Doctoral Thesis. Submitted in partial fulfilment of the requirements for the award of Doctor of Philosophy at Loughborough University.

Language

  • en

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