Augmented Reality: A New Way to Build Knowledge. Bibliometric Analysis and Apps Testing
Augmented Reality (AR) combines real and digital images, and is fast becoming a new immersive source of data for building knowledge. This research analyzes its real potential, through a bibliometric analysis of recent research and a descriptive analysis of the characteristics of 100 AR apps followin...
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| Veröffentlicht in: | IEEE-RITA 2020-02, Vol.15 (1), p.17-25 |
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| creator | Cadavieco, Javier Fombona Pascual, Maria Angeles Vazquez-Cano, Esteban |
| description | Augmented Reality (AR) combines real and digital images, and is fast becoming a new immersive source of data for building knowledge. This research analyzes its real potential, through a bibliometric analysis of recent research and a descriptive analysis of the characteristics of 100 AR apps following testing. The results reveal several emerging lines, a range of user profiles and the most suitable areas for these technologies to be applied; this study also points to new emerging immersive methodologies, and the opposing perspectives of this phenomenon. The empirical descriptive testing of these apps also reveals the limitations of these technologies in the structured construction of knowledge. |
| doi_str_mv | 10.1109/RITA.2020.2979167 |
| format | Article |
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| issn | 1932-8540 2374-0132 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Augmented reality Bibliometrics Digital imaging Education Empirical analysis geolocation ICT mobile devices Mobile handsets Registers Software Testing ubiquitous learning |
| title | Augmented Reality: A New Way to Build Knowledge. Bibliometric Analysis and Apps Testing |
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