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Dynamic management of multichannel interfaces for human interaction with computer-based intelligent assistants

机译:与基于计算机的智能助手进行人机交互的多通道界面的动态管理

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摘要

For complex man-machine tasks where multi-media interaction with computer-based assistants is appropriate, a portion of the assistant's intelligence must be devoted to managing its communication processes with the user. Since people often serve the role of assistants, the conventions of human communication provide a basis for designing the communication processes of the computer-based assistant.;Human decision making for communication requires knowledge of the user's style, the task demands, and communication practices, and knowledge of the current situation. Decisions necessary for effective communication, when, how, and what to communicate, can be expressed using these knowledge sources. A system based on human communication rules was developed to manage the communication decisions of an intelligent assistant.;The Dynamic Communication Management (DCM) system consists of four components, three models and a manager. The model of the user describes the user's communication preferences for different task situations. The model of the task is used to establish the user's current activity and to describe how communication should be conducted for this activity. The communication model provides the rules needed to make decisions: when to communicate the message, how to present the message to the user, and what information should be communicated. The Communication Manager controls and coordinates these models to conduct all communication with the user.;Performance with DCM as the interface to a simulated Flexible Manufacturing System (FMS) control task was established to learn about the potential benefits of the concept. An initial comparison showed no improvement over a keyboard and monitor interface, but provided performance data which exposed the differences in information needed for decision making using auditory and visual communication. This knowledge and related performance data were used to redesign features of the DCM.;The redesigned DCM significantly improved all aspects of system performance compared to the keyboard and monitor interface. The FMS performance measures and performance on a secondary task improved, user communication behavior was changed favorably, and users preferred the advanced features of DCM. These types of benefits can potentially accrue for a variety of tasks where multi-media communication with computer-based intelligent assistants is managed with DCM.
机译:对于需要与基于计算机的助手进行多媒体交互的复杂人机任务,助手的部分智能必须专门用于管理其与用户的通信过程。由于人们经常扮演助手的角色,因此人类交流的惯例为设计基于计算机的助手的交流过程提供了基础。人的交流决策需要了解用户的风格,任务要求和交流实践,了解当前情况。可以使用这些知识源来表达有效沟通所必需的决策,何时,如何以及进行什么沟通。开发了基于人际交流规则的系统来管理智能助手的交流决策。动态通讯管理(DCM)系统由四个组件,三个模型和一个管理器组成。用户模型描述了用户在不同任务情况下的通信偏好。任务模型用于建立用户的当前活动并描述应如何为此活动进行交流。通信模型提供了决策所需的规则:何时传递消息,如何向用户呈现消息以及应传递哪些信息。 Communication Manager控制和协调这些模型以进行与用户的所有通信。建立DCM的性能作为模拟的柔性制造系统(FMS)控制任务的接口,以了解该概念的潜在好处。初步比较显示,键盘和显示器界面没有任何改进,但是提供的性能数据揭示了使用听觉和视觉交流进行决策所需的信息差异。这些知识和相关的性能数据用于重新设计DCM的功能。与键盘和显示器界面相比,重新设计的DCM显着改善了系统性能的所有方面。 FMS的性能指标和次要任务的性能得到改善,用户的通信行为得到了有利的改变,并且用户更喜欢DCM​​的高级功能。在使用DCM管理与基于计算机的智能助手的多媒体通信的各种任务中,这些类型的好处可能会产生。

著录项

  • 作者

    Strickland, Ted John, Jr.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Systems science.;Computer science.;Artificial intelligence.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 201 p.
  • 总页数 201
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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