4 resultados para Expert information (QUT)

em CentAUR: Central Archive University of Reading - UK


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The aim of this article is to improve the communication of the probabilistic flood forecasts generated by hydrological ensemble prediction systems (HEPS) by understanding perceptions of different methods of visualizing probabilistic forecast information. This study focuses on interexpert communication and accounts for differences in visualization requirements based on the information content necessary for individual users. The perceptions of the expert group addressed in this study are important because they are the designers and primary users of existing HEPS. Nevertheless, they have sometimes resisted the release of uncertainty information to the general public because of doubts about whether it can be successfully communicated in ways that would be readily understood to nonexperts. In this article, we explore the strengths and weaknesses of existing HEPS visualization methods and thereby formulate some wider recommendations about the best practice for HEPS visualization and communication. We suggest that specific training on probabilistic forecasting would foster use of probabilistic forecasts with a wider range of applications. The result of a case study exercise showed that there is no overarching agreement between experts on how to display probabilistic forecasts and what they consider the essential information that should accompany plots and diagrams. In this article, we propose a list of minimum properties that, if consistently displayed with probabilistic forecasts, would make the products more easily understandable. Copyright © 2012 John Wiley & Sons, Ltd.

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The ultimate criterion of success for interactive expert systems is that they will be used, and used to effect, by individuals other than the system developers. A key ingredient of success in most systems is involving users in the specification and development of systems as they are being built. However, until recently, system designers have paid little attention to ascertaining user needs and to developing systems with corresponding functionality and appropriate interfaces to match those requirements. Although the situation is beginning to change, many developers do not know how to go about involving users, or else tackle the problem in an inadequate way. This paper discusses the need for user involvement and considers why many developers are still not involving users in an optimal way. It looks at the different ways in which users can be involved in the development process and describes how to select appropriate techniques and methods for studying users. Finally, it discusses some of the problems inherent in involving users in expert system development, and recommends an approach which incorporates both ethnographic analysis and formal user testing.

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Objective The Medicines Use Review (MUR) community pharmacy service was introduced in 2005 to enhance patient empowerment but the service has not been taken up as widely as expected. We investigated the depiction of the patient–pharmacist power relationship within MUR patient information leaflets. Methods We identified 11 MUR leaflets including the official Department of Health MUR booklet and through discourse analysis examined the way language and imagery had been used to symbolise and give meaning to the MUR service, especially the portrayal of the patient–pharmacist interactions and the implied power relations. Results A variety of terminology was used to describe the MUR, a service that aimed ultimately to produce more informed patients through the information imparted by knowledgeable, skilled pharmacists. Conclusion The educational role of the MUR overshadowed the intended patient empowerment that would take place with a true concordance-centred approach. Although patient empowerment was implied, this was within the boundaries of the biomedical model with the pharmacist as the expert provider of medicines information. Practice implications If patient empowerment is to be conveyed this needs to be communicated to patients through consistent use of language and imagery that portrays the inclusivity intended.

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Knowledge-elicitation is a common technique used to produce rules about the operation of a plant from the knowledge that is available from human expertise. Similarly, data-mining is becoming a popular technique to extract rules from the data available from the operation of a plant. In the work reported here knowledge was required to enable the supervisory control of an aluminium hot strip mill by the determination of mill set-points. A method was developed to fuse knowledge-elicitation and data-mining to incorporate the best aspects of each technique, whilst avoiding known problems. Utilisation of the knowledge was through an expert system, which determined schedules of set-points and provided information to human operators. The results show that the method proposed in this paper was effective in producing rules for the on-line control of a complex industrial process. (C) 2005 Elsevier Ltd. All rights reserved.