Design and application of augmented reality query-answering system in mobile phone information navigation

作者：

Highlights：

• 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.

摘要

•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.

论文关键词：Augmented reality,Data mining,Mobile phone information navigation,Query-answering system,Technology acceptance model

论文评审过程：Available online 27 August 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.07.050