Exploring the fusion of augmented reality and location-based social network

Authors: Chengbi Liu*, George Mason University, Sven Fuhrmann, George Mason University
Topics: Geographic Information Science and Systems
Keywords: augmented reality, LBSN, social media
Session Type: Paper
Day: 4/12/2018
Start / End Time: 1:20 PM / 3:00 PM
Room: Grand Couteau, Sheraton, 5th Floor
Presentation File: No File Uploaded

Augmented Reality (AR) overlays real world views or scenes with virtual, computer-generated, objects that appear to visually coexist in the same space. Location-Based Social Network (LBSN) are platforms for individuals to be connected through the interdependency derived from their physical locations and their location-tagged social media content. Recently, there have been some theoretical and technical attempts of integrating mobile-based AR browsers to LBSN and several applications (e.g., Sekai Camera and Wallame) have been successfully developed and commercialized. However, there have been few discussions on the potential impacts as well as evaluation methods of AR-integrated LBSN in the GIScience community. To close this existing gap, we discuss in this paper the impacts of AR-integrated LBSN with a particular focus on how AR may benefit LBSN researchers in the GIScience field. We first briefly review the importance of LBSN in GIScience research. Then, we present the status quo of AR-integrated LBSN from both theoretical and applicational perspectives with a discussion on how AR-integrated LBSN can enrich the GIScience research agenda in three aspects. Lastly, we propose a conceptual framework as a guidance of the evaluation and development of AR-integrated LBSNs in the future.

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