Computer
Understanding Mashup Development
IEEE Internet Computing
Citizen Sensing, Social Signals, and Enriching Human Experience
IEEE Internet Computing
CAMAR Mashup: Empowering End-user Participation in U-VR Environment
ISUVR '09 Proceedings of the 2009 International Symposium on Ubiquitous Virtual Reality
Unified Context-Aware Augmented Reality Application Framework for User-Driven Tour Guides
ISUVR '10 Proceedings of the 2010 International Symposium on Ubiquitous Virtual Reality
Extracting social and community intelligence from digital footprints: an emerging research area
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Toward a cooperative programming framework for context-aware applications
Personal and Ubiquitous Computing
Stroke-based semi-automatic region of interest detection algorithm for in-situ painting recognition
Proceedings of the 2011 international conference on Virtual and mixed reality: systems and applications - Volume Part II
Barcode-Assisted Planar Object Tracking Method for Mobile Augmented Reality
ISUVR '11 Proceedings of the 2011 International Symposium on Ubiquitous Virtual Reality
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
| Hi-index | 0.00 |
With the recent advent of mobile Augmented Reality (AR) applications, spatially appropriate content is overlayed over the real scene for a quick and intuitive information provision. In this paper, we introduce a concept of in-situ AR mashup content (AMC) as a new type of end-user created content for AR applications and as a concentrated digital trace that reveals Social and Community Intelligence (SCI). Especially, we present an AMC-based application for an art gallery that focuses on a specific representation format for AMC and the underlying architecture that enables such user participation. The proposed in-situ AR mashup elevates, otherwise passive users to active contributors of the content ecosystem by adding informational and experiential content. As a result of such content mashup activities, currently limited and frozen AR content ecosystem can be enriched and revamped. At the same time, the user-generated AMC implicitly leaves rich and multi-dimensionally structured digital traces that can be collectively used to build SCI.