A location-based social network system integrating mobile augmented reality and user generated content

Location-based social networks (LBSNs) enable individuals to connect tighter through users' interdependency (e.g. friendship, common interests and shared knowledge) which derived from their physical locations and geo-tagged social media content. Nowadays, the development of mobile augmented reality (MAR) technology can enhance people's perception and interaction with the world, which enrich the way people share their geo-referenced information. In this paper, we propose a LBSN smartphone system by integrating MAR and user generated content (UGC). Users can publish their own content through an augmented reality (AR) form on a 3D model which is associated with real-world coordinates, and interact with content published by others. A prototype system is implemented on the iOS platform to prove the efficiency of the framework.

[1]  Liu Jingna.  Augmented Reality and Its Applications for Navigation and Location Based Service , 2013 .

[2]  Gerrit Heinemann,et al.  Social - Local - Mobile , 2015 .

[3]  Eugenio Di Sciascio,et al.  Indoor/Outdoor Mobile Navigation via Knowledge-Based POI Discovery in Augmented Reality , 2015, 2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT).

[4]  Mohamed F. Mokbel,et al.  Recommendations in location-based social networks: a survey , 2015, GeoInformatica.

[5]  Zhe Li,et al.  A Spatial Insight for UGC Apps: Fast Similarity Search on Keyword-Induced Point Groups , 2019, 2019 20th IEEE International Conference on Mobile Data Management (MDM).

[6]  Armin Hammand,et al.  Telegeoinformatics: Location-based Computing and Services , 2004 .

[7]  Ronald Azuma,et al.  A Survey of Augmented Reality , 1997, Presence: Teleoperators & Virtual Environments.

[8]  Bruno S. Silvestre,et al.  Social Media? Get Serious! Understanding the Functional Building Blocks of Social Media , 2011 .

[9]  Sven Fuhrmann,et al.  Enriching the GIScience research agenda: Fusing augmented reality and location-based social networks , 2018, Trans. GIS.

[10]  Hua Lu,et al.  Finding top-k local users in geo-tagged social media data , 2015, 2015 IEEE 31st International Conference on Data Engineering.

[11]  Dieter Schmalstieg,et al.  Augmented Reality 2.0 , 2008, Virtual Realities.

[12]  Daniel Gallego Vico,et al.  Collaborative Content Generation Architectures for the Mobile Augmented Reality Environment , 2011 .

[13]  Ronald Azuma,et al.  Recent Advances in Augmented Reality , 2001, IEEE Computer Graphics and Applications.

[14]  Wilbert O. Galitz,et al.  The Essential Guide to User Interface Design: An Introduction to GUI Design Principles and Techniques , 1996 .

[15]  Hua Lu,et al.  Location Inference for Non-Geotagged Tweets in User Timelines , 2019, IEEE Transactions on Knowledge and Data Engineering.

[16]  Yu Zheng,et al.  Computing with Spatial Trajectories , 2011, Computing with Spatial Trajectories.

[17]  Hua Lu,et al.  Finding Influential Local Users with Similar Interest from Geo-Tagged Social Media Data , 2017, 2017 18th IEEE International Conference on Mobile Data Management (MDM).