A comparative study of two desktop hazard perception tasks suitable for mass testing in which scores are not based on response latencies

任务(项目管理) 剪辑 隐蔽的 考试(生物学) 危害 感知 应用心理学 计算机科学 心理学 认知心理学 工程类 人工智能 生物 哲学 古生物学 神经科学 有机化学 化学 系统工程 语言学
作者
W P Vlakveld
出处
期刊:Transportation Research Part F-traffic Psychology and Behaviour [Elsevier BV]
卷期号:22: 218-231 被引量:44
标识
DOI:10.1016/j.trf.2013.12.013
摘要

In PC-based hazard perception tests scores are traditionally based on how quickly participants respond to developing hazards in video clips. A disadvantage of this method is that latent hazards which do not develop into acute threats cannot be included in the test. The present study compared two tasks using the same stimuli but with different response methods. The stimuli consisted of thirteen animated video clips in which latent hazards did not materialize. Latent hazards could either be a visible other road user who due to the circumstances could start to act dangerously, or a hidden other road users who could be on collision course. The first-mentioned were the overt latent hazards and the latter were the covert latent hazards. In Task 1, participants had to indicate what the high priority latent hazard was after they had watched a clip. In Task 2, participants could indicate latent hazards while they were watching a clip and decide afterwards which of the indicated latent hazards had the highest priority. In both tasks the scores were based on how many high priority latent hazards were detected and were not based not on response times. Professional drivers (driver trainers and driving examiners) and learner drivers were randomly assigned to a group that performed Task 1 and a group that performed Task 2. Professionals scored significantly better on both tasks than learner drivers. Although in both tasks professionals scored significantly higher, Task 1 seems to be a more promising alternative for the traditional hazard perception test than Task 2 because professional drivers scored significantly higher on overt latent hazards than learner drivers in Task 1 but not in Task 2 and experience with computer games influenced the scores in Task 2 but not in Task 1. A weakness of Task 1 was its rather low internal consistency (α = .69).
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