This study proposes an integrated technology acceptance model to investigate the factors that affect drivers’ usage intention of mobile navigation applications. The proposed model adds three new constructs (drivers’ sense of direction, navigation application affinity and distraction perception) to the original technology acceptance model based on the features of mobile navigation applications. First, a questionnaire was developed and administered, and data from 384 drivers were collected via an online survey. Second, confirmatory factor analysis was conducted to examine the reliability and validity of the developed scale based on the collected data. Third, a structural equation model was constructed to investigate the interrelationships among these constructs in the conceptual research model and to identify the key factors that affect drivers’ acceptance of mobile navigation applications. The proposed model explained 60.50% of the variance in the intention to use mobile navigation applications. In addition to attitude and perceived usefulness, navigation application affinity and distraction perception also significantly affected drivers’ intention to use mobile navigation applications. Navigation application affinity and distraction perception affected not only drivers’ intention to use but also their perceptions. Sense of direction was a significant individual trait that affected drivers’ navigation application affinity, distraction perception, perceived ease of use and perceived usefulness. These findings imply that relevant developers should continually optimize the incorrect and inappropriate use of navigation information and that they should attach importance to the amount and intelligibility of navigation information. Furthermore, the prompt form of navigation information should satisfy the demands and expectations of drivers with different senses of direction. Overall, this study improves our understanding of drivers’ acceptance of mobile navigation applications and provides some important practical implications to improve mobile navigation services.

这项研究提出了一个集成技术接受模型，以研究影响驾驶员使用移动导航应用程序的意图的因素。提出的模型基于移动导航应用程序的功能，在原始技术接受模型中添加了三个新的构造（驾驶员的方向感，导航应用程序亲和力和干扰感）。首先，开发并管理了一份问卷，并通过在线调查收集了384位驾驶员的数据。其次，根据收集的数据进行验证性因素分析，以检验所开发量表的信度和效度。第三，构建了一个结构方程模型，以研究概念研究模型中这些构造之间的相互关系，并确定影响驾驶员接受移动导航应用程序的关键因素。拟议的模型解释了使用移动导航应用程序意图的60.50％的差异。除了态度和感知有用性之外，导航应用程序的亲和力和干扰感也显着影响了驾驶员使用移动导航应用程序的意图。导航应用程序的亲和力和干扰感不仅影响驾驶员的使用意愿，而且影响他们的感知。方向感是一个重要的个人特质，它影响驾驶员的导航应用亲和力，分心的感知力，易用性和实用性。这些发现表明，相关的开发人员应不断优化对导航信息的不正确和不适当使用，并且他们应重视导航信息的数量和清晰度。此外，导航信息的及时形式应满足具有不同方向感的驾驶员的需求和期望。总体而言，这项研究提高了我们对驾驶员对移动导航应用程序的接受程度的理解，并为改善移动导航服务提供了一些重要的实际意义。导航信息的及时形式应满足驾驶员不同方向感的需求和期望。总体而言，这项研究提高了我们对驾驶员对移动导航应用程序的接受程度的理解，并为改善移动导航服务提供了一些重要的实际意义。导航信息的及时形式应满足驾驶员不同方向感的需求和期望。总体而言，这项研究提高了我们对驾驶员对移动导航应用程序的接受程度的理解，并为改善移动导航服务提供了一些重要的实际意义。