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手动与基于语音的车载信息系统交互比较。

Comparison of manual vs. speech-based interaction with in-vehicle information systems.

机构信息

Department of Engineering and Traffic Psychology, Technische Universität Braunschweig, D-38106 Braunschweig, Germany.

出版信息

Accid Anal Prev. 2009 Sep;41(5):924-30. doi: 10.1016/j.aap.2009.05.007. Epub 2009 Jun 3.

Abstract

This study examined whether speech-based interfaces for different in-vehicle-information-systems (IVIS) reduce the distraction caused by these systems. For three frequently used systems (audio, telephone with name selection, navigation system with address entry and point of interest selection) speech, manual control and driving without IVIS (baseline) were compared. The Lane Change Task was used to assess driving performance. Additionally, gaze behavior and a subjective measure of distraction were analyzed. Speech interfaces improved driving performance, gaze behavior and subjective distraction for all systems with the exception of point-of-interest entry. However, these improvements were overall not strong enough to reach the baseline performance level. Only in easy segments of the driving task the performance level was comparable to baseline. Thus, speech-based IVIS have to be further developed to keep the cognitive complexity at an adequate level which does not disturb driving. However, looking at the benefits, speech control is a must for the car of the future.

摘要

本研究旨在探讨不同车内信息系统(IVIS)的语音界面是否能减少这些系统带来的干扰。对于三个常用系统(音频、带姓名选择的电话、带地址输入和兴趣点选择的导航系统),比较了语音、手动控制和无 IVIS 驾驶(基线)。变道任务用于评估驾驶性能。此外,还分析了注视行为和主观干扰程度。除了兴趣点输入外,语音界面在所有系统中都提高了驾驶性能、注视行为和主观干扰程度。然而,这些改进总体上还不够强,无法达到基线性能水平。只有在驾驶任务的简单部分,性能水平才与基线相当。因此,基于语音的 IVIS 必须进一步开发,以保持认知复杂性在适当水平,不会干扰驾驶。然而,考虑到好处,语音控制对于未来的汽车来说是必须的。

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