TY - JOUR AU - Chen, Jessica AU - Lyell, David AU - Laranjo, Liliana AU - Magrabi, Farah PY - 2020 DA - 20/6/1 TI -消费者数字健康任务中语音识别对问题解决和召回的影响:控制实验室实验JO - J Med Internet Res SP - e14827 VL - 22 IS - 6 KW -语音识别软件KW -消费者健康信息KW -人体工程学AB -背景:自然语言处理和人工智能的最新进展导致语音识别技术的广泛采用。在消费者健康应用程序中，语音识别通常用于支持与会话代理的交互，以进行数据收集、决策支持和患者监测。然而，人们对语音识别在消费者健康应用中的使用知之甚少，也很少有研究评估消费者手中会话代理的功效。在其他面向消费者的工具中，认知负荷已被观察到是影响语音识别技术在涉及问题解决和回忆的任务中的使用的重要因素。用户发现，与打字、指向和点击相比，同时思考和说话更加困难。然而，在执行健康任务时，语音识别对认知负荷的影响尚未被探索。目的:本研究的目的是评估语音识别在消费者数字健康任务中涉及问题解决和回忆的使用。方法:招募50名大学教职工和学生在计算机实验室中使用模拟对话代理进行四项文档任务。这些任务的复杂性取决于解决问题和回忆所需的数量(简单和复杂)以及输入方式(语音识别vs键盘和鼠标)。 Cognitive load, task completion time, error rate, and usability were measured. Results: Compared to using a keyboard and mouse, speech recognition significantly increased the cognitive load for complex tasks (Z=–4.08, P<.001) and simple tasks (Z=–2.24, P=.03). Complex tasks took significantly longer to complete (Z=–2.52, P=.01) and speech recognition was found to be overall less usable than a keyboard and mouse (Z=–3.30, P=.001). However, there was no effect on errors. Conclusions: Use of a keyboard and mouse was preferable to speech recognition for complex tasks involving problem solving and recall. Further studies using a broader variety of consumer digital health tasks of varying complexity are needed to investigate the contexts in which use of speech recognition is most appropriate. The effects of cognitive load on task performance and its significance also need to be investigated. SN - 1438-8871 UR - //www.mybigtv.com/2020/6/e14827 UR - https://doi.org/10.2196/14827 UR - http://www.ncbi.nlm.nih.gov/pubmed/32442129 DO - 10.2196/14827 ID - info:doi/10.2196/14827 ER -