Productivity, satisfaction, and interaction strategies of individuals with spinal cord injuries and traditional users interacting with speech recognition software
Productivity, satisfaction, and interaction strategies of individuals with spinal cord injuries and traditional users interacting with speech recognition software
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脊髓损伤患者和传统用户与语音识别软件交互的生产力、满意度和交互策略
DOI：
10.1007/s102090100001
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发表时间：
2001
影响因子：
2.4
通讯作者：
Jinjuan Feng
中科院分区：
文献类型：
--
作者：
A. Sears;Clare;K. Oseitutu;Azfar S. Karimullah;Jinjuan Feng
摘要：语音识别是一项重要的技术，对于面向听写的活动来说，它正变得越来越有效。尽管识别准确率近年来大幅提高，但最近的研究证实，传统计算机用户使用键盘和鼠标的速度仍然更快，纠错的时间比听写的时间更长。此外，随着这些用户变得更有经验，他们经常采用多模式策略，在纠正错误时需要键盘和鼠标。虽然语音识别对于传统的计算机用户来说是一种方便的替代方案，但对于限制了他们使用键盘和鼠标能力的肢体残疾人士来说，它也可能是一种强大的工具。然而，关于肢体残障人士的表现、满意度和使用模式的研究尚未见报道。在这篇文章中，我们报告了一项研究，该研究提供了对现有语音识别系统对于肢体残疾个人的有效性的初步见解。我们的结果证实了传统用户和肢体残疾用户之间的生产力没有差异。相比之下，当用户对系统的满意度进行评级时，以及在分析使用模式时，观察到了许多差异。
Abstract.Speech recognition is an important technology that is becoming increasingly effective for dictation-oriented activities. While recognition accuracy has increased dramatically in recent years, recent studies confirm that traditional computer users are still faster using a keyboard and mouse and spend more time correcting errors than dictating. Further, as these users become more experienced they frequently adopt multimodal strategies that require the keyboard and mouse when correcting errors. While speech recognition can be a convenient alternative for traditional computer users, it can be a powerful tool for individuals with physical disabilities that limit their ability to use a keyboard and mouse. However, research into the performance, satisfaction, and usage patterns of individuals with physical disabilities has not been reported. In this article, we report on a study that provides initial insights into the efficacy of existing speech recognition systems with respect to individuals with physical disabilities. Our results confirm that productivity does not differ between traditional users and those with physical disabilities. In contrast, numerous differences were observed when users rated their satisfaction with the system and when usage patterns were analyzed.