Skip to main content
SpringerLink
Log in

Intelligent Augmented Reality Training for Assembly Tasks

  • Conference paper
Artificial Intelligence in Education (AIED 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7926))

Included in the following conference series:

Abstract

We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training systems, and a prototype based on this framework that teaches novice users how to assemble a computer motherboard. An evaluation found that our intelligent AR system improved test scores by 25% and that task performance was 30% faster compared to the same AR training system without intelligent support. We conclude that using intelligent AR tutor can significantly improve learning compared to traditional AR training.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Azuma, R.T.: A survey of augmented reality. Presence: Teleoperators and Virtual Environments, 355–385 (1997)

    Google Scholar 

  2. Caudell, T., Mizell, D.: Augmented reality: an application of heads-up display technology to manual manufacturing processes. In: Proc. 25th Hawaii Int. Conf. System Sciences, vol. 2, pp. 659–669 (1992)

    Google Scholar 

  3. Henderson, S.J., Feiner, S.: Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret. In: Proc. 8th Int. Symp. Mixed and Augmented Reality, pp. 135–144. IEEE (2009)

    Google Scholar 

  4. Baird, K.M., Barfield, W.: Evaluating the effectiveness of augmented reality displays for a manual assembly task. Virtual Reality 4(4), 250–259 (1999)

    Article  Google Scholar 

  5. Psotka, J., Mutter, S.A.: Intelligent Tutoring Systems: Lessons Learned. Lawrence Erlbaum Associates (1988)

    Google Scholar 

  6. VanLehn, K., Lynch, C., Schulze, K., Shapiro, J.A., Shelby, R., Taylor, L., Treacy, D., Weinstein, A., Wintersgill, M.: The Andes Physics Tutoring System: Lessons Learned’. Artificial Intelligence in Education 15, 147–204 (2005)

    Google Scholar 

  7. Koedinger, K.R., Anderson, J.R., Hadley, W.H., Mark, M.A.: Intelligent tutoring goes to the big city. Artificial Intelligence in Education 8, 30–43 (1997)

    Google Scholar 

  8. Mitrovic, A.: Fifteen years of Constraint-Based Tutors: What we have achieved and where we are going. User Modeling and User-Adapted Interaction 22(1-2), 39–72 (2012)

    Article  Google Scholar 

  9. Mendez, G., Herrero, P., de Antonio, A.: Intelligent virtual environments for training in nuclear power plants. In: Proc. 6th Int. Conf. Enterprise Information Systems (2004)

    Google Scholar 

  10. Evers, M., Nijholt, A.: Jacob - An animated instruction agent in virtual reality. In: Tan, T., Shi, Y., Gao, W. (eds.) ICMI 2000. LNCS, vol. 1948, pp. 526–533. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  11. Fournier-Viger, P., Nkambou, R., Nguifo, E.: Exploiting partial problem spaces learned from users’ interactions to provide key tutoring services in procedural and ill-defined domains. In: Dimitrova, V., Mizoguchi, R., du Boulay, B., Graesser, A. (eds.) Proc. 14th Int. Conf. Artificial Intelligence in Education, pp. 383–390 (2009)

    Google Scholar 

  12. Qiao, Y., Xie, X., Sun, T.: Design for the cockpit intelligent tutoring system based on augmented reality. In: Proc. Int. Symp. Computational Intelligence and Design, vol. 2, pp. 224–227 (2008)

    Google Scholar 

  13. Feiner, S., Macintyre, B., Seligmann, D.: Knowledge-based augmented reality. Communications of ACM 36, 53–62 (1993)

    Article  Google Scholar 

  14. Mitrovic, A., Martin, B., Suraweera, P., Zakharov, K., Milik, N., Holland, J., McGuigan, N.: ASPIRE: an authoring system and deployment environment for constraint-based tutors. Artificial Intelligence in Education 19(2), 155–188 (2009)

    Google Scholar 

  15. Looser, J., Grasset, R., Seichter, H., Billinghurst, M.: OSGART-A pragmatic approach to MR. In: 5th IEEE and ACM Int. Symp. on Mixed and Augmented Reality, pp. 22–25 (2006)

    Google Scholar 

  16. Kato, H., Billinghurst, M.: Marker tracking and HMD calibration for a video-based augmented reality conferencing system. In: Proc. 2nd IEEE and ACM Int. Workshop on Augmented Reality, pp. 85–94 (1999)

    Google Scholar 

  17. Johnson, W.L., Rickel, J.W., Lester, J.C.: Animated pedagogical agents: Face-to-face interaction in interactive learning environments. Artificial Intelligence in Education 11(1), 47–78 (2000)

    Google Scholar 

  18. Liu, Z., Pan, Z.: An emotion model of 3d virtual characters in intelligent virtual environment. In: Tao, J., Tan, T., Picard, R.W. (eds.) ACII 2005. LNCS, vol. 3784, pp. 629–636. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  19. Gulz, A., Haake, M.: Design of animated pedagogical agents—A look at their look. Human-Computer Studies 64(4), 322–339 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Human Interface Technology Laboratory NZ, University of Canterbury, Christchurch, New Zealand

    Giles Westerfield & Mark Billinghurst

  2. Intelligent Computer Tutoring Group, University of Canterbury, Christchurch, New Zealand

    Antonija Mitrovic

Authors
  1. Giles Westerfield
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antonija Mitrovic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mark Billinghurst
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute for Creative Technologies, University of Southern California, 12015 Waterfront Dr., 90094, Playa Vista, CA, USA

    H. Chad Lane

  2. School of Information Technologies, University of Sydney, 2006, Sydney, NSW, Australia

    Kalina Yacef

  3. School of Computer Science, Carnegie Mellon University, 5000 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Jack Mostow

  4. Department of Psychology, University of Memphis, 38152, Memphis, TN, USA

    Philip Pavlik

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Westerfield, G., Mitrovic, A., Billinghurst, M. (2013). Intelligent Augmented Reality Training for Assembly Tasks. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39112-5_55

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39111-8

  • Online ISBN: 978-3-642-39112-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation