Human-AI Interaction in Symbolic Problem Solving

Benjamin T. Jones
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Abstract

Despite the increasing need for computer assistance in solving problems involving complex systems and large amount of data, professional mathematicians, scientists, and engineers currently avoid the use of computer algebra systems during creative problem-solving phases of their work due to problems with transparency, familiarity, and inflexibility in input. I have designed and prototyped a new approach to interaction with computer algebra systems that is compatible with current working styles, flexible in its input and output. I propose a user study to validate this tool, and tool extensions to allow creative problem solvers to interactively define their own notation as they work.
符号问题解决中的人机交互
尽管在解决涉及复杂系统和大量数据的问题时越来越需要计算机的帮助,但由于输入的透明度、熟悉度和不灵活性等问题,专业数学家、科学家和工程师目前在创造性解决问题的阶段避免使用计算机代数系统。我已经设计并原型化了一种与计算机代数系统交互的新方法,该方法与当前的工作方式兼容,在输入和输出方面具有灵活性。我建议通过用户研究来验证这个工具,并通过工具扩展来允许创造性的问题解决者在工作时交互式地定义他们自己的符号。
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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