Design and application of augmented reality query-answering system in mobile phone information navigation
An augmented reality query-answering system (AR-QAS) is designed and implemented in this study. The average question classification accuracy in an artificial neural network was 98.76%. AR-QAS can provide a fast and convenient mobile information navigation service for users. Language variety, timely feedback, and personal focus improve behavioral intentions to us AR-QAS. This study confirms that the new model combining TAM and MRT can be applied to relevant AR research.
augmented reality query-answering system mobile phone information navigation data mining technology acceptance model