Abstract
This paper presents a new framework to support the creation of augmented reality (AR) applications for educational purposes in physics or engineering lab courses. These applications aim to help students to develop a better understanding of the underlying physics of observed phenomena. For each desired experiment, an AR application is automatically generated from an approximate 3D model of the experimental setup and precomputed simulation data. The applications allow for a visual augmentation of the experiment, where the involved physical quantities like vector fields, particle beams or density fields can be visually overlaid on the real-world setup. Additionally, a parameter feedback module can be used to update the visualization of the physical quantities according to actual experimental parameters in real-time. The proposed framework was evaluated on three different experiments: a Teltron tube with Helmholtz coils, an electron-beam-deflection tube and a parallel plate capacitor.
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Acknowledgements
This work was supported in part by the German Science Foundation (DFG MA2555/15-1 Immersive Digital Reality and DFG INST 188/409-1 FUGG ICG Dome) and in part by the German Federal Ministry of Education and Research (01PL17043 teach4TU).
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Albuquerque, G., Sonntag, D., Bodensiek, O., Behlen, M., Wendorff, N., Magnor, M. (2019). A Framework for Data-Driven Augmented Reality. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2019. Lecture Notes in Computer Science(), vol 11614. Springer, Cham. https://doi.org/10.1007/978-3-030-25999-0_7
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