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

Hui Fei Lin*, Chi Hua Chen

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

36 引文 斯高帕斯(Scopus)

摘要

This study proposed an augmented reality query-answering system (AR-QAS) based on mobile cloud computing to provide natural language informational navigation services. Empirical research was performed to examine the effectiveness of the system in actual use. This study confirms that the new model developed by combining technology acceptance model (TAM), media richness theory, and the factors of self-efficacy can be applied to relevant AR research. The experiment results revealed that the average question classification accuracy of QAS when combined with artificial neural network and ontology was 98.76%. Moreover, the perceived media richness was found to be positively related to self-efficacy, perceived usefulness, perceived ease of use, user attitude, and use intention. Furthermore, this study reveals that combining the TAM and media richness theory provides a stronger explanation than does the TAM alone. Before new systems are created, designers are suggested to consider the four factors of media richness theory (i.e., multiple cues, language variety, timely feedback, and personal focus), to greatly improve user attitudes toward and behavioral intentions to use new technologies.

原文英語
頁(從 - 到)810-820
頁數11
期刊Expert Systems with Applications
42
發行號2
DOIs
出版狀態已發佈 - 2015 2月 1
對外發佈

ASJC Scopus subject areas

  • 一般工程
  • 電腦科學應用
  • 人工智慧

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