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Designing Augmented Reality Learning Systems with Real-Time Tracking Sensors

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Advances in Neuroergonomics and Cognitive Engineering (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 259))

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Abstract

This study aims to develop an advanced augmented reality (AR) system by integrating an AR system and a real-time tracking system. Lab experiments are critical parts of engineering education, and it is possible to revolutionize engineering labs to be self-paced learning by using AR technology. However, the current hand gesture interactions to communicate with AR devices have shown several limitations. Hence, in this study, we developed a location-based AR system by integrating a real-time tracking sensor and an AR device. This new AR learning system could reduce transition time between learning modules and improve learners’ interaction between the modules and an AR device.

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References

  1. Tang, Y.M., Au, K.M., Lau, H.C.W., Ho, G.T.S., Wu, C.H.: Evaluating the effectiveness of learning design with mixed reality (MR) in higher education. Virtual Reality 24(4), 797–807 (2020). https://doi.org/10.1007/s10055-020-00427-9

    Article  Google Scholar 

  2. Guo, W.: Improving engineering education using augmented reality environment. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2018. LNCS, vol. 10924, pp. 233–242. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-91743-6_18

    Chapter  Google Scholar 

  3. Dalim, C.S.C., et al.: Factors influencing the acceptance of augmented reality in education: a review of the literature. J. Comput. Sci. 13(11), 581–589 (2017)

    Article  Google Scholar 

  4. Mourtzis, D., Zogopoulos, V., Vlachou, E.: Augmented reality supported product design towards industry 4.0: a teaching factory paradigm. Procedia Manufact. 23, 207–212 (2018)

    Google Scholar 

  5. Guo, W., Kim, J.H.: How augmented reality influences student workload in engineering education. In: Stephanidis, C., et al. (eds.) HCII 2020. LNCS, vol. 12425, pp. 388–396. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60128-7_29

    Chapter  Google Scholar 

  6. Kim, J.H., Chan, T., Du, W.: The learning effect of augmented reality training in a computer-based simulation environment. In: Zaphiris, P., Ioannou, A. (eds.) LCT 2015. LNCS, vol. 9192, pp. 406–414. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-20609-7_38

    Chapter  Google Scholar 

  7. Hondori, H.M., et al.: A spatial augmented reality rehab system for post-stroke hand rehabilitation. In: MMVR (2013)

    Google Scholar 

  8. Seichter, H., Schnabel, M.A.: Digital and tangible sensation: an augmented reality urban design studio (2005)

    Google Scholar 

  9. Stigall, J., et al.: Building evacuation using Microsoft HoloLens. In: 27th International Conference on Software Engineering and Data Engineering (2018)

    Google Scholar 

  10. Biocca, F., et al.: Attention funnel: omnidirectional 3D cursor for mobile augmented reality platforms. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2006)

    Google Scholar 

  11. Cheng, K.-H., Tsai, C.-C.: Affordances of augmented reality in science learning: suggestions for future research. J. Sci. Educ. Technol. 22(4), 449–462 (2013)

    Article  Google Scholar 

  12. Akçayır, M., Akçayır, G.: Advantages and challenges associated with augmented reality for education: a systematic review of the literature. Educ. Res. Rev. 20, 1–11 (2017)

    Article  Google Scholar 

  13. Schantz, H.G., Weil, C., Unden, A.H.: Characterization of error in a near-field electromagnetic ranging (NFER) real-time location system (RTLS). In: 2011 IEEE Radio and Wireless Symposium. IEEE (2011)

    Google Scholar 

  14. Richards, E.A., et al.: Electrically small antenna design for low frequency systems. Notice and Signature Page, p. 315 (2010)

    Google Scholar 

  15. Aleksy, M., et al.: Utilizing hololens to support industrial service processes. In: 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA). IEEE (2018)

    Google Scholar 

  16. Kamarainen, A., et al.: Using mobile location-based augmented reality to support outdoor learning in undergraduate ecology and environmental science courses. Bull. Ecol. Soc. Am. 99(2), 259–276 (2018)

    Article  Google Scholar 

  17. Rácz-Szabó, A., et al.: Real-time locating system in production management. Sensors 20(23), 6766 (2020)

    Article  Google Scholar 

  18. Rajeev, S., et al.: Augmented reality-based vision-aid indoor navigation system in GPS denied environment. In: Mobile Multimedia/Image Processing, Security, and Applications 2019. International Society for Optics and Photonics (2019)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Industrial and Manufacturing Systems Engineering, University of Missouri, Columbia, MO, 65201, USA

    Wenbin Guo & Jung Hyup Kim

Authors
  1. Wenbin Guo
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  2. Jung Hyup Kim
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Corresponding author

Correspondence to Wenbin Guo .

Editor information

Editors and Affiliations

  1. School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, USA

    Hasan Ayaz

  2. School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Umer Asgher

  3. DIGITAL – Institute for Information and Communication Technologies, Graz, Austria

    Lucas Paletta

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Guo, W., Kim, J.H. (2021). Designing Augmented Reality Learning Systems with Real-Time Tracking Sensors. In: Ayaz, H., Asgher, U., Paletta, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2021. Lecture Notes in Networks and Systems, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-80285-1_32

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  • DOI: https://doi.org/10.1007/978-3-030-80285-1_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80284-4

  • Online ISBN: 978-3-030-80285-1

  • eBook Packages: EngineeringEngineering (R0)

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