语音、笔和多模态界面中隐含的用户自适应系统参与

S. Oviatt
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引用次数: 2

摘要

目前的研究为开发完全基于语音振幅和笔压的系统参与的隐含用户自适应技术提供了新的实证研究、理论和原型。结果表明,在计算机媒介的群体环境中,人们会自发地、可靠地、大量地、以不同的方式调整自己的交际能量水平,以指定和修复预期的对话者。此外,这种单一的行为可以用来实现75% - 86%范围内的系统接合精度。简而言之,在交流过程中,用户能量水平的隐式提示会产生高水平的正确系统参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit user-adaptive system engagement in speech, pen and multimodal interfaces
The present research contributes new empirical research, theory, and prototyping toward developing implicit user-adaptive techniques for system engagement based exclusively on speech amplitude and pen pressure. The results reveal that people will spontaneously adapt their communicative energy level reliably, substantially, and in different modalities to designate and repair an intended interlocutor in a computer-mediated group setting. Furthermore, this sole behavior can be harnessed to achieve system engagement accuracies in the 75 - 86 % range. In short, there was a high level of correct system engagement based exclusively on implicit cues in users' energy level during communication.
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