On the role of metaphor in conceptual models for end‐user training

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 1998-12-01 DOI:10.1108/13287269880000738

P. Blakey, C. Phillips, Julie Bunnell

引用次数: 2

Abstract

It has been suggested that conceptual models can be used to enhance the training of novice end‐users. This paper discusses the part played by metaphor in conceptual models, provides examples of end‐user training incorporating metaphors, and contends that metaphors facilitate the development of accurate mental models. The more specific issue of the role of conceptual models, and by implication metaphor, in the training of end‐users remains to be investigated, and a research agenda for this purpose is outlined.

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论隐喻在终端用户培训概念模型中的作用

有人建议，概念模型可以用来加强对最终用户新手的培训。本文讨论了隐喻在概念模型中的作用，提供了包含隐喻的最终用户培训的例子，并认为隐喻促进了准确心理模型的发展。概念模型和隐含隐喻在最终用户培训中的作用这一更具体的问题仍有待研究，并概述了为此目的的研究议程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.