Research On Applying Mobile Augmented Reality Based On ATM Model In 3G Environment

Augmented reality which has been applied since the 1960s is not an emerging business. It is mainly used to extend the information from the real word. For example, by wearing a helmet, more information of the scene is displayed on the screen of the goggles in order to enhance the human scene to get more information.With the rapid development and spread of mobile intelligent terminals, they have been greatly improved in computing power. In addition, the mobile smartphone operating system equipped on smart phones is also fully scalable to meet the augmented reality on the extension of software application in the field of innovation and exploration, including learning, living, entertainment and games.Technology acceptance and unified usage model is a model accepted in the study of information technology, and it belongs to the extension model of technology acceptance model. Based on the TAM technology, the model extends more specific factors and has a stronger explanatory power to the use of information technology.Therefore, based on a technology acceptance and unified usage model and combining with mobile augmented reality research, this article presents acceptable factors that have impact on mobile augmented reality applications, including performance expectations, work expectations, community impact, convenience, entertainment, perceived cost, network quality, intention to use, and assuming their impact on the use of behavior. Questionnaire design, research, analysis and testing method are used to validate them in order to analyze the key factor that has an impact on individual acceptance and use of mobile augmented reality.Specifically, this paper draws on previous scholars’research on the mobile Internet, adds fun, cost and network quality factors based on UTAUT to improve mobile augmented reality wishes factors explain force. In the empirical study, samples were collected through the questionnaires and validation questionnaire rationality and correctness of the model assumptions using SPSS 16 software and AMOS structural equation.Finally, research results are used to make outlook for future applications for mobile augmented reality.