@article{ref1,
title="Augmenting the technology acceptance model with trust: commercial drivers' attitudes towards monitoring and feedback",
journal="Proceedings of the Human Factors and Ergonomic Society annual meeting",
year="2012",
author="Ghazizadeh, Mahtab and Peng, Yiyun and Lee, John D. and Boyle, Linda Ng",
volume="56",
number="1",
pages="2286-2290",
abstract="This study evaluates truck drivers' attitudes toward an on-board monitoring system (OBMS), using an extended version of the Technology Acceptance Model (TAM) that accounts for drivers' trust in OBMS. Crashes that involve trucks incur a high cost to society and driver-related factors contribute to about one third of all large truck fatal crashes in the US. Therefore, safety initiatives that can increase drivers' awareness of their risky behaviors are highly desirable. In-vehicle feedback systems are designed to serve this purpose; however, their benefits will not be realized unless their information can positively influence safe driving. Acceptance constructs for the proposed model were measured using a survey administered after the monitoring system was introduced to the drivers but before the system was actually installed in their trucks. In line with the TAM, the results demonstrated that perceived usefulness is the most important determinant of intention to use the OBMS. Trust was also a major determinant of intention to use, suggesting that the acceptance model can be usefully augmented by this construct.<p /> <p>Language: en</p>",
language="en",
issn="2169-5067",
doi="10.1177/1071181312561481",
url="http://dx.doi.org/10.1177/1071181312561481"
}