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Natural language and mixed modality task presentations in the human-computer interaction using programmable logic controllers.

机译：使用可编程逻辑控制器在人机交互中的自然语言和混合模式任务演示。

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摘要

This dissertation focuses on the human-computer interaction elements of task presentation and task structure in the programming of Programmable Logic Controllers (PLCs). Task presentation methods that were explored included a natural language (GE Fanuc's State Logic), and a mixed modality language (GE Fanuc's Logicmaster Relay Ladder Logic). Task Structure elements utilized in this study were linear procedural tasks and conditional branching tasks.;A two-level factorial analysis of covariance determined that task presentation was a significant contributor to programming development times. Task structure and the interaction between task presentation and task structure did not yield significant p-values at the .05 alpha level to allow the rejection of their associated null hypotheses. The covariates utilized in the study included gender, age, status, computer experience, and English. None of the covariates appeared to prove significant in influencing program development times.;The population utilized in the quasi-experiment consisted of 26 general university students from Iowa State University with no prior PLC programming experience. The subjects underwent two hours of videotape training on how to program a single state or rung of code prior to the one hour testing portion of the study. The instruction consisted of basic education of a PLC, input and output functions and how they relate to associated hardware, and software navigation.;Significant contributions of this research include the distinction of a natural language from the alphanumeric categorization. Previous research documents the alphanumeric categorization as one that does not distinguish a difference between a natural language and a syntactical language. This study indicates that the use of a natural language is superior to the use of a mixed modality language in programming development times for PLCs. Previous studies had documented that mixed modality platforms were superior to alphanumeric (syntactical elements only) or pictorial languages alone.;Industry should strongly consider the implementation of a natural language into its process control. In addition, it is strongly recommended that a natural language be considered its own classification instead of lumping into the alphanumeric category. This study warrants this based on the natural language's performance superiority.
机译：本文主要研究可编程逻辑控制器（PLC）编程中任务表示和任务结构的人机交互元素。探索的任务表示方法包括自然语言（GE Fanuc的状态逻辑）和混合模态语言（GE Fanuc的Logicmaster梯形图逻辑）。本研究中使用的任务结构元素是线性过程任务和条件分支任务。协方差的两级因子分析确定任务表示是编程开发时间的重要贡献者。任务结构以及任务表示与任务结构之间的交互作用在.05 alpha级别上并未产生显着的p值，从而无法拒绝其关联的零假设。研究中使用的协变量包括性别，年龄，状态，计算机经验和英语。协变量似乎均未显示出对程序开发时间有重大影响。准实验中使用的人群由26位来自爱荷华州立大学的普通大学生组成，他们之前没有PLC编程经验。在研究的一小时测试部分之前，这些受试者接受了两个小时的录像带培训，内容涉及如何对单个状态或代码行进行编程。该指令包括PLC的基础知识，输入和输出功能以及它们与关联的硬件的关系以及软件导航。；此研究的重要贡献包括自然语言与字母数字分类的区别。先前的研究记录了字母数字分类，这种分类不能区分自然语言和句法语言之间的差异。这项研究表明，在PLC的编程开发时间中，使用自然语言要优于使用混合形式语言。先前的研究表明，混合形式平台优于字母数字（仅语法元素）或仅图形语言。；工业界应在其过程控制中强烈考虑自然语言的实现。此外，强烈建议您将自然语言视为自己的分类，而不是混入字母数字类别。这项研究基于自然语言的性能优势保证了这一点。

著录项

  • 作者

    Wright, John Robert, Jr.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Education Technology of.;Information Science.;Engineering Industrial.;Education Industrial.
  • 学位 Ph.D.
  • 年度 1998
  • 页码 138 p.
  • 总页数 138
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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