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Abstract
Currently, the number of scenarios for using AR (Augmented Reality) tools grows every year. Yet, there are still some open performance issues associated with this technology, related with the efficiency of the mobile device itself, including build-in components or the operation system. The purpose of this study was to investigate available augmented reality engines for mobile platforms. First, a review of current graphics and AR engines was conducted, based on which measurement aspects were selected taking into consideration the device performance. Next, we have performed a series of research studies, including different 3-dimensional AR modes and scenarios, both with and without a tag. The research was carried out using 4 mobile devices, with 3 of them running Android OS and 1 powered by iOS (with 2 different AR libraries). The performed tests and obtained results can aid any interested individual when choosing the right mobile device, as well as configuring the AR environment, for various UX (User Experiences).
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Authors (4)
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Monika Zamłyńska
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Grzegorz Debita dr inż.
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Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Zamłyńska M., Lasota A., Debita G., Falkowski-Gilski P.: Study on AR Application Efficiency of Selected iOS and Android OS Mobile Devices// / : , 2022,
- DOI:
- Digital Object Identifier (open in new tab) 10.5220/0011574600003318
- Sources of funding:
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- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
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