加速度
任务(项目管理)
模拟
控制(管理)
撞车
精神疲劳
计算机科学
心理学
工程类
应用心理学
人工智能
经典力学
物理
程序设计语言
系统工程
作者
Dyani Saxby,Gerald Matthews,Edward M. Hitchcock,Joel S. Warm,Gregory J. Funke,Thomas Gantzer
标识
DOI:10.1177/154193120805202113
摘要
The present study investigated the effects of active fatigue (e.g., elevated distress) and passive fatigue (e.g., decreased task engagement) on driving performance. The study used similar manipulations developed by Saxby et al. (2007), which were shown to induce active and passive fatigue states. 168 undergraduates participated. There were 3 conditions (active, passive, control) and 2 durations (10, 30 minutes). The active condition used simulated wind gusts to increase the required number of steering and acceleration changes, while the passive condition was fully automated. In the control condition, drivers were in full control of steering and acceleration. Data confirmed that, over time, passive fatigue is expressed as decreasing task engagement. Furthermore, drivers in the passive condition had slower response times to an unexpected event and were more likely to crash than those in the active and control conditions. Theoretical and practical implications are discussed.
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