Predicting the utility of feedback judgements using cognitive load theory
thesisposted on 24.07.2018, 09:12 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.]
Arts and Humanities Research Board (AHRB) (research studentship).
- Information Science