Skip to main content
SpringerLink
Log in

How to Design a Successful Training Application with Used Mobile Augmented Reality

  • Conference paper
  • First Online:
HCI International 2023 – Late Breaking Papers (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14060))

Included in the following conference series:

Abstract

Augmented Reality (AR) has been found useful and with strong affordances in education and training due to its potential to make the learning process easier, decrease the time for training, and increase motivation. Research has already highlighted the importance of UX when designing and developing mobile augmented reality. In this study we propose a framework within a UX perspective to design and implement a mobile augmented reality application. The framework is inspired by Donald Norman’s six UX design principles. We used the framework to design and develop an AR mobile application for training field engineers in service and maintenance of a medical analyzer in the medical industry. Sixteen field engineers participated in the study. The evaluation of the developed AR application was inspired by the technology acceptance model, including items in ease of use, user satisfaction, usefulness, supplemented with items in visual interface, and learnability. The findings revealed that all the field engineers expressed positive feedback in terms of being able to see, train, and practice on the medical analyzer via the mobile augmented reality. A reason for the positive evaluation, could be due the high degree of effort to include the users at a very early stage and throughout the entire design process. Further, much effort was made to design the AR application based upon an explicit understanding of the users, tasks, and environments. However, future work is needed to create significant evidence of and insight into the training and learning outcomes of AR.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Babichenko, D., et al.: SterileAR: Exploration of augmented reality and computer vision approaches for real-time feedback in sterile compounding training. In: Proceedings of 6th International Conference of the Immersive Learning Research Network, pp. 62–69. IEEE (2020)

    Google Scholar 

  2. Campisi, C.A., Li, E.H., Jimenez, D.E., Milanaik, R.L.: Augmented reality in medical education and training: from physicians to patients. In: Geroimenko, V. (ed.) Augmented Reality in Education. SSCC, pp. 111–138. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-42156-4_7

    Chapter  Google Scholar 

  3. Endsley, T.C., Sprehn, K.A., Brill, R.M., Ryan, K.J., Vincent, E.C., Martin, J.M.: Augmented reality design heuristics: designing for dynamic interactions. Proc. Hum. Fact. Ergon. Soc. Annu. Meet. 61(1), 2100–2104 (2017)

    Article  Google Scholar 

  4. Horst, R., Fenchel, D., Retz, R., Rau, L., Retz, W., Dörner, R.: Integration of game engine based mobile augmented reality into a learning management system for online continuing medical education. In: Reussner, R.H., Koziolek, A., Heinrich, R. (eds.) INFORMATIK 2020, pp. 955–962. Gesellschaft für Informatik, Bonn (2021)

    Google Scholar 

  5. Kipper, G., Rampolla, J.: Augmented reality: an emerging technologies to guide AR. Elsevier, Waltham (2013)

    Google Scholar 

  6. Yuen, S.C.-Y., Yaoyuneyong, G., Johnson, E.: Augmented reality: an overview and five directions for AR in education. J. Educ. Technol. Develop. Exchange 4(1), 119–140 (2011)

    Article  Google Scholar 

  7. Zhu, E., Lilienthal, A., Shluzas, L.A., Masiello, I., Zary, N.: Design of mobile augmented reality in health care education: a theory-driven framework. JMIR Med. Educ. 1(22), e4443 (2015)

    Google Scholar 

  8. Bitkina, O.V., Kim, H.K., Park, J.: Usability and user experience of medical devices: an overview of the current state, analysis methodologies, and future challenges. Int. J. Ind. Ergon. 76, 102932 (2020)

    Article  Google Scholar 

  9. Dirin, A., Laine, T.: User experience in mobile augmented reality: emotions, challenges. Opportun. Best Pract. Comput. 7(2), 33 (2018)

    Google Scholar 

  10. Branaghan, R.J., O’Brian, J.S., Hildebrand, E.A., Foster, L.B.: Home healthcare. In: Humanizing Healthcare – Human Factors for Medical Device Design, pp. 367–383. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-64433-8_15

    Chapter  Google Scholar 

  11. Sommerauer, P., Müller, O.: Augmented reality in informal learning environments: a field experiment in a mathematics exhibition. Comput. Educ. 79, 59–68 (2014)

    Article  Google Scholar 

  12. Farrell, W.A.: Learning becomes doing: applying augmented and virtual reality to improve performance. Perform. Improv. 57(4), 19–28 (2018)

    Article  Google Scholar 

  13. Herron, J.: Augmented reality in medical education and training. J. Electron. Resour. Med. Lib. 13(2), 51–55 (2016)

    MathSciNet  Google Scholar 

  14. Kamphuis, C., Barsom, E., Schijven, M., Christoph, N.: Augmented reality in medical education? Perspect. Med. Educ. 3(4), 300–311 (2014)

    Article  Google Scholar 

  15. Escalada-Hernández, P., Soto Ruiz, N., San Martín-Rodríguez, L.: Design and evaluation of a prototype of augmented reality applied to medical devices. Int. J. Med. Informatics 128, 87–92 (2019)

    Article  Google Scholar 

  16. 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 

  17. Herbert, B., Wigley, G., Ens, B., Billinghurst, M.: Cognitive load considerations for augmented reality in network security training. Comput. Graph. 102, 566–591 (2022)

    Article  Google Scholar 

  18. Davis, F.D.: User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int. J. Man Mach. Stud. 38(3), 475–487 (1993)

    Article  Google Scholar 

  19. Venkatesh, V., Speier, C., Morris, M.G.: User acceptance enablers in individual decision making about technology: toward an integrated model. Decis. Sci. 33(2), 297–316 (2002)

    Article  Google Scholar 

  20. Jetter, J., Eimecke, J., Rese, A.: Augmented reality tools for industrial applications: what are potential key performance indicators and who benefits? Comput. Hum. Behav. 87, 18–33 (2018)

    Article  Google Scholar 

  21. Ip, H.H.S., et al.: Design and evaluate immersive learning experience for massive open online courses (MOOCs). IEEE Trans. Learn. Technol. 12(4), 503–515 (2019)

    Article  Google Scholar 

  22. Norman, D.A.: The Design of Everyday Things. Doubleday, New York (1990)

    Google Scholar 

  23. Zou, D., Huang, X., Kohnke, L., Chen, X., Cheng, G., Xie, H.: A bibliometric analysis of the trends and research topics of empirical research on TPACK. Educ. Inf. Technol. 27(8), 10585–10609 (2022)

    Article  Google Scholar 

  24. Kazanidis, I., Pellas, N., Christopoulos, A.: A learning analytics conceptual framework for augmented reality-supported educational case studies. Multim. Technol. Interact. 5(3), 9 (2021)

    Article  Google Scholar 

  25. Doerner, R., Horst, R.: Overcoming challenges when teaching hands-on courses about virtual reality and augmented reality: methods, techniques and best practice. Graph. Vis. Comput. 6, 200037 (2022)

    Article  Google Scholar 

  26. Scaravetti, D., François, R.: Implementation of augmented reality in a mechanical engineering training context. Computers 10(12), 163 (2021)

    Article  Google Scholar 

  27. Zhang, J., Xia, X., Liu, R., Li, N.: Enhancing human indoor cognitive map development and wayfinding performance with immersive augmented reality-based navigation systems. Adv. Eng. Inform. 50, 101432 (2021)

    Article  Google Scholar 

  28. O’Brien, H.L., Toms, E.G.: What is user engagement? A conceptual framework for defining user engagement with technology. J. Am. Soc. Inform. Sci. Technol. 59(6), 938–955 (2008)

    Article  Google Scholar 

  29. Marangunić, N., Granić, A.: Technology acceptance model: a literature review from 1986 to 2013. Univ. Access Inf. Soc. 14(1), 81–95 (2014)

    Article  Google Scholar 

  30. Bjørner, T.: The advantages of and barriers to being smart in a smart city: the perceptions of project managers within a smart city cluster project in Greater Copenhagen. Cities 114, 103187 (2021)

    Article  Google Scholar 

  31. Malatji, W.R., Eck, R.V., Zuva, T.: Understanding the usage, modifications, limitations and criticisms of technology acceptance model (TAM). Adv. Sci. Technol. Eng. Syst. J. 5(6), 113–117 (2020)

    Article  Google Scholar 

  32. Jones, P.: Contexts of co-creation: designing with system stakeholders. In: Jones, P., Kijima, K. (eds.) Systemic Design. TSS, vol. 8, pp. 3–52. Springer, Tokyo (2018). https://doi.org/10.1007/978-4-431-55639-8_1

    Chapter  Google Scholar 

  33. Bjørner, T.: Data analysis and findings. In: Bjørner, T. (ed.) Qualitative Methods for Consumer Research: The Value of the Qualitative Approach in Theory and Practice. Hans Reitzel, Copenhagen (2015)

    Google Scholar 

  34. Korsgaard, D., Bjørner, T., Sørensen, P.K., Bruun-Pedersen, J.R.: Older adults eating together in a virtual living room: opportunities and limitations of eating in augmented virtuality. In: Proceedings of the 31st European Conference on Cognitive Ergonomics, pp. 168–176. ACM, Belfast (2019)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Architecture, Design and Media Technology, Aalborg University, A.C. Meyersvænge 15, 2450, Copenhagen, SV, Denmark

    Liana Møsbæk & Thomas Bjørner

Authors
  1. Liana Møsbæk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Thomas Bjørner
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thomas Bjørner .

Editor information

Editors and Affiliations

  1. Cyprus University of Technology, Limassol, Cyprus

    Panayiotis Zaphiris

  2. Cyprus University of Technology, Limassol, Cyprus

    Andri Ioannou

  3. Soar Technology, Inc., Orlando, FL, USA

    Robert A. Sottilare

  4. Fraunhofer FKIE, Wachtberg, Germany

    Jessica Schwarz

  5. City University of Hong Kong, Hong Kong, Hong Kong

    Fiona Fui-Hoon Nah

  6. City University of Hong Kong, Hong Kong, Hong Kong

    Keng Siau

  7. University of West Florida, Pensacola, FL, USA

    June Wei

  8. University of Central Florida, Orlando, FL, USA

    Gavriel Salvendy

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Møsbæk, L., Bjørner, T. (2023). How to Design a Successful Training Application with Used Mobile Augmented Reality. In: Zaphiris, P., et al. HCI International 2023 – Late Breaking Papers. HCII 2023. Lecture Notes in Computer Science, vol 14060. Springer, Cham. https://doi.org/10.1007/978-3-031-48060-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-48060-7_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48059-1

  • Online ISBN: 978-3-031-48060-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation