Learning, Emotion, and Decision Group, Department of Experimental Psychology, University of Granada, Campus de Cartuja, Granada, Spain.
Traffic Inj Prev. 2011 Dec;12(6):630-5. doi: 10.1080/15389588.2011.620661.
In the last 2 decades, cognitive science and the transportation psychology field have dedicated a lot of effort to designing advanced driver support systems. Verbal warning systems are increasingly being implemented in modern automobiles in an effort to increase road safety.
The study presented here investigated the impact of directional speech alert messages on the participants' speed to judge whether or not naturalistic road scenes depicted a situation of impending danger.
Thirty-eight volunteers performed a computer-based key-press reaction time task.
Findings indicated that semantic content of verbal warning signals can be used for increasing driving safety and improving hazard detection. Furthermore, the classical result regarding signal accuracy is confirmed: directional informative speech messages lead to faster hazard detection compared to drivers who received a high rate of false alarms.
Notwithstanding some study limitations (lack of driver experience and low ecological validity), this evidence could provide important information for the specification of future Human-Machine-interaction (HMI) design guidelines.
在过去的 20 年里，认知科学和交通心理学领域投入了大量精力来设计先进的驾驶员支持系统。为了提高道路安全，口头警告系统越来越多地被应用于现代汽车。
本研究旨在调查定向语音警报信息对参与者判断自然场景是否即将发生危险的速度的影响。
38 名志愿者完成了一项基于计算机的按键反应时任务。
研究结果表明，口头警告信号的语义内容可用于提高驾驶安全性和改善危险检测。此外，还证实了关于信号准确性的经典结果：与收到高误报率的驾驶员相比，定向信息性语音消息可更快地检测到危险。
尽管存在一些研究限制（缺乏驾驶经验和低生态有效性），但这一证据可以为未来人机交互（HMI）设计指南的制定提供重要信息。
