Development of AR/VR Navigation System Using Non-Linguistic Information

被引:0
作者
Farahani, Marzieh Aliabadi [1 ]
Yamamoto, Kayoko [2 ]
机构
[1] Univ Electrocommun, Grad Sch Informat Syst, Tokyo, Japan
[2] Univ Electrocommun, Grad Sch Informat & Engn, Tokyo, Japan
来源
2016 11TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE) | 2016年
关键词
Navigation System; AR (Augmented Reality); VR (Virtual Reality); Non-Linguistic Information; Smart Glass; Social Media; RECOMMENDATION;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This study aims to develop a navigation system for a wide range of people including foreigners who visit Japan and cannot understand Japanese at all. Though there are already a lot of navigation systems corresponding to many languages, it is impossible to further develop such systems in the same way as before. Therefore, this study demonstrates the originality to use non-linguistic information such as symbols, marks and pictograms, and to supports the tourist excursions by making it possible to collect, accumulate, share and utilize tourist spot information, using mixed AR/VR technologies. The usefulness of this system, especially when used outdoors, can be summarized in the following three points: 1) Reduction of constraints of time and space: Because the system can provide non-linguistic information with or without a recommendation request using AR technology, users can acquire appropriate information anytime, anywhere. 2) Realization of a dynamic real-time situation: By taking account of each user's situation and the information that becomes a topic on Twitter, the system can provide users with information relevant to each situation in real time. 3) Reduction of the burden of information acquisition: Because the system can provide information relevant to the situation at any time using mixed AR/VR technologies, the occasions for users to acquire information via terminals are reduced, enabling them to engage in efficient tourist activities.
引用
收藏
页码:332 / 337
页数:6
相关论文
共 17 条
  • [1] [Anonymous], P 23 BEN C ART INT
  • [2] [Anonymous], 2012, P 20 INT C ADV GEOGR, DOI DOI 10.1145/2424321.2424348
  • [3] Baltrunas L, 2011, LECT NOTES COMPUT SC, V6769, P531, DOI 10.1007/978-3-642-21675-6_61
  • [4] Turist@: Agent-based personalised recommendation of tourist activities
    Batet, Montserrat
    Moreno, Antonio
    Sanchez, David
    Isern, David
    Valls, Aida
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (08) : 7319 - 7329
  • [5] Felfernig A, 2011, RECOMMENDER SYSTEMS HANDBOOK, P187, DOI 10.1007/978-0-387-85820-3_6
  • [6] Fujita S., 2016, THESIS
  • [7] Fujitsuka T., 2014, P ANN C SOC INSTR CO, P802
  • [8] Hidenori K, 2012, J DIGITAL PRACTICE, V3, P272
  • [9] Ikeda T, 2014, INT J ADV COMPUT SC, V5, P8
  • [10] Ishizuka J., 2007, SPECIAL INTEREST GRO, V2007, P17