Address entry while driving: speech recognition versus a touch-screen keyboard.

IF 3.3 3区 心理学 Q1 BEHAVIORAL SCIENCES
Omer Tsimhoni, Daniel Smith, Paul Green
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引用次数: 185

Abstract

A driving simulator experiment was conducted to determine the effects of entering addresses into a navigation system during driving. Participants drove on roads of varying visual demand while entering addresses. Three address entry methods were explored: word-based speech recognition, character-based speech recognition, and typing on a touch-screen keyboard. For each method, vehicle control and task measures, glance timing, and subjective ratings were examined. During driving, word-based speech recognition yielded the shortest total task time (15.3 s), followed by character-based speech recognition (41.0 s) and touch-screen keyboard (86.0 s). The standard deviation of lateral position when performing keyboard entry (0.21 m) was 60% higher than that for all other address entry methods (0.13 m). Degradation of vehicle control associated with address entry using a touch screen suggests that the use of speech recognition is favorable. Speech recognition systems with visual feedback, however, even with excellent accuracy, are not without performance consequences. Applications of this research include the design of in-vehicle navigation systems as well as other systems requiring significant driver input, such as E-mail, the Internet, and text messaging.

驾驶时的地址输入:语音识别与触摸屏键盘。
为了确定在驾驶过程中向导航系统输入地址的效果,进行了驾驶模拟器实验。参与者在不同视觉需求的道路上开车,同时进入地址。研究了三种地址输入方法:基于单词的语音识别、基于字符的语音识别和在触摸屏键盘上输入。对于每一种方法,车辆控制和任务措施,扫视时间和主观评分进行了检查。在驾驶过程中,基于单词的语音识别产生的总任务时间最短(15.3 s),其次是基于字符的语音识别(41.0 s)和触摸屏键盘(86.0 s)。执行键盘输入时的横向位置标准偏差(0.21 m)比所有其他地址输入方法(0.13 m)高出60%。使用触摸屏输入地址相关的车辆控制性能下降表明使用语音识别是有利的。然而,具有视觉反馈的语音识别系统,即使具有极好的准确性,也不是没有性能影响。这项研究的应用包括车载导航系统的设计,以及其他需要大量驾驶员输入的系统,如电子邮件、互联网和短信。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Factors
Human Factors 管理科学-行为科学
CiteScore
10.60
自引率
6.10%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Human Factors: The Journal of the Human Factors and Ergonomics Society publishes peer-reviewed scientific studies in human factors/ergonomics that present theoretical and practical advances concerning the relationship between people and technologies, tools, environments, and systems. Papers published in Human Factors leverage fundamental knowledge of human capabilities and limitations – and the basic understanding of cognitive, physical, behavioral, physiological, social, developmental, affective, and motivational aspects of human performance – to yield design principles; enhance training, selection, and communication; and ultimately improve human-system interfaces and sociotechnical systems that lead to safer and more effective outcomes.
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