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首页> 外文期刊>International Journal of Engineering Trends and Technology >Multimodal Human Computer Interactionwith Context Dependent Input Modality Suggestion and Dynamic Input Ambiguity Resolution
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Multimodal Human Computer Interactionwith Context Dependent Input Modality Suggestion and Dynamic Input Ambiguity Resolution

机译：多模式人机互动跟上上下文相关的输入模态建议和动态输入歧义分辨率

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摘要

This paper reports a novel approach for enhanced implementation of a practical multimodal interface system with context based input modality suggestion and dynamic input error correction or ambiguity resolution algorithm. The context based input modality suggestion algorithm suggests the user to switch over to alternate modality in adverse environment. The dynamic input error correction module helps the user to correct the omission or resolve the ambiguity in the primarily communicated message by asking for the clarification from the user. If the user provides the input corresponding to reported error, the system completes the operation without asking for a fresh start. Tricolor Finite State Transducers (TFST) introduced in this paper, analyze the semantics of the communicated multimodal message. The strategy adopted for grammar definition provides a wider operational space for the users to interact with the computer system. A TFST based message understanding module emphasis on completing the desired operation rather than giving importance for recognizing the each and every signal from the input channel. The proposed architecture is tested with a standard set of operations used for basic human computer interaction.
机译：本文报告了一种新的方法，可以提高具有基于上下文的输入模态建议和动态输入纠错或模糊分辨率算法的实用多模式接口系统的实现。基于上下文的输入模态建议算法表明用户在不利环境中切换到备用模态。动态输入纠错模块通过要求从用户求解来帮助用户纠正主要传达的消息中的省略或解析歧义。如果用户提供对应于报告的错误的输入，则系统会完成操作而不要求新的开始。本文介绍了Tricolor有限状态传感器（TFST），分析了通信多模式信息的语义。用于语法定义采用的策略为用户提供了更广泛的操作空间，以与计算机系统交互。基于TFST的消息了解模块强调完成所需操作，而不是重视识别来自输入通道的每个信号和每个信号。拟议的架构是用用于基本人类计算机交互的标准操作进行测试。

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