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A Conceptual Model and Taxonomy for Collaborative Augmented Reality
- Source :
- IEEE transactions on visualization and computer graphics. 28(12)
- Publication Year :
- 2021
-
Abstract
- To support the nuances of collaborative work, many researchers have been exploring the field of Augmented Reality (AR), aiming to assist in co-located or remote scenarios. Solutions using AR allow taking advantage from seamless integration of virtual objects and real-world objects, thus providing collaborators with a shared understanding or common ground environment. However, most of the research efforts, so far, have been devoted to experiment with technology and mature methods to support its design and development. Therefore, it is now time to understand where the field stands and how well can it address collaborative work with AR, to better characterize and evaluate the collaboration process. In this article, we perform an analysis of the different dimensions that should be taken into account when analysing the contributions of AR to the collaborative work effort. Then, we bring these dimensions forward into a conceptual framework and propose an extended human-centered taxonomy for the categorization of the main features of Collaborative AR. Our goal is to foster harmonization of perspectives for the field, which may help create a common ground for systematization and discussion. We hope to influence and improve how research in this field is reported by providing a structured list of the defining characteristics. Finally, some examples of the use of the taxonomy are presented to show how it can serve to gather information for characterizing AR-supported collaborative work, and illustrate its potential as the grounds to elicit further studies.
- Subjects :
- Augmented Reality
Process (engineering)
Computer science
media_common.quotation_subject
Common ground
Computer Graphics and Computer-Aided Design
Data science
Field (computer science)
Categorization
Conceptual framework
Taxonomy (general)
Signal Processing
Conceptual model
Computer Graphics
Humans
Augmented reality
Computer Vision and Pattern Recognition
Software
media_common
Subjects
Details
- ISSN :
- 19410506
- Volume :
- 28
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- IEEE transactions on visualization and computer graphics
- Accession number :
- edsair.doi.dedup.....6486bb1409bc204c07382797fcd0a539