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Designing Curated Conversation-Driven Explanations for Communicating Complex Technical Concepts

机译:设计用于交流的复杂技术概念的策划式对话驱动解释

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The need for learning about emerging technologies and technical concepts among the general population is increasing, but formal explanations from online encyclopedias, textbooks, and articles are often rich in technical jargon and can be challenging to grasp. In this paper, we explore a novel approach for explaining technical concepts to non-technical users through the design of JargonLite, an interactive dictionary that shows how technical concepts can be used in everyday conversations. We evaluated curated conversation-driven explanations with 12 users who had little or no technical training and wanted to learn about big data concepts. We found that users perceived conversation-driven explanations to be easy to understand and these explanations helped them to maintain focus. We discuss the potential of using conversation-driven explanations as a learning tool for non-technical users and reflect on the advantages and disadvantages of this approach.
机译:越来越多的人需要学习新兴技术和技术概念,但是来自在线百科全书,教科书和文章的正式解释通常包含丰富的技术术语,并且可能难以理解。在本文中,我们探索了一种通过JargonLite的设计向非技术用户解释技术概念的新颖方法,这是一种交互式词典,显示了如何在日常对话中使用技术概念。我们与12位没有经过或几乎没有技术培训并且想了解大数据概念的用户一起评估了由对话驱动的策划性解释。我们发现用户认为对话驱动的解释很容易理解,这些解释有助于他们保持专注。我们讨论使用对话驱动的解释作为非技术用户的学习工具的潜力,并思考这种方法的优缺点。

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