基于技术接受模型的生态驾驶诱导辅助系统认知接受度

Drivers’ Acceptance of Eco-Driving Guidance Assistance System Based on Technology Acceptance Model

摘要:

融合技术接受模型和信息系统成功模型框架，设计了李克特7级量表问卷，探究了不同驾驶场景下驾驶员对生态驾驶诱导辅助系统的使用意愿和对诱导信息的认知偏好。研究表明，驾驶员倾向于接受以语音形式警示非生态驾驶行为的诱导信息类型。在城市道路上，提高诱导辅助系统的感知有用性和感知易用性有助于提高驾驶员对系统的接受度。在城市快速路上，诱导辅助系统的感知有用性和感知易用性仅对高峰场景下的驾驶员使用意愿有显著正向影响，平峰场景下影响驾驶员使用意愿的具体因素仍需在未来诱导实验中深入探究。

Abstract:

This study applied the technology acceptance model and information system success model to investigate drivers’ willingness to use the eco-driving guidance assistance system and their preference for information types， using a 7-likert questionnaire. The study shows drivers are inclined to accept the audio warning type of eco-driving guidance. On urban roads， improving the perceived usefulness and perceived ease of use of the guidance assistance system has a beneficial effect on drivers’ acceptance of the system. In contrast， on urban expressways， perceived usefulness and perceived ease of use affect driver willingness to use the system significantly only during peak hours. However， the specific factors affecting drivers’ willingness to use the system in off-peak hours still need to be explored in future experiments.