Evaluating the application of Neisser's Perceptual Cycle Model in Human Factors of transportation researc

该项目的目的是采用混合方法，利用不同人口统计群体对汽车驾驶行为进行研究，应用定量和定性措施来调查图式（由经验形成的期望）如何影响具体行为。知觉循环模型（Perceptual cycle model， PCM）是本研究的理论基础，是一种用于人因工程研究的心理学模型，用于解释图式、行为和环境之间的关系。在对PCM如何应用于交通研究的文献进行全面回顾之后，将测试各种图式启发方法，以确定使用PCM调查研究问题的最佳方式。随着这些获得定性数据的测试方法的建立，将进行一系列实验，以确定不同人口统计学组的驾驶员（非驾驶员，新手驾驶员，经验丰富的驾驶员，高级驾驶员）的模式如何影响他们在特别安全关键的道路情况下（例如路口，农村地区）和智能速度适应系统（例如自适应巡航控制，限速器）超速行为的倾向（客观测量）。

The aim of this project is to conduct research on automobile driving behaviour using different demographic groups of drivers with a mixed-method approach, applying both quantitative and qualitative measures to investigate how schema (expectations formed from experiences) influence specific behaviours. Perceptual cycle model (PCM) will be the theoretical underpinning behind the research, a psychological model used in research in human factors engineering to explain the relationship of schema, actions, and the environment. Following a thorough literature review of how the PCM has been applied to transportation research, various schema-elicitation methods will be tested to determine the optimal way of investigating research questions with the PCM. With these tested methods for gaining qualitative data established, a series of experiments will be run that determines how schema in different demographic groups of drivers (non-drivers, learner drivers, experienced drivers, advanced drivers) may influence their propensity towards speeding behaviour (measured objectively) at particularly safety-critical road situations (e.g. junctions, rural areas) and with intelligent speed adaption systems (e.g. adaptive cruise control, speed limiters)