Skip to main content
Springer Nature Link
Log in

Study of Human–Computer Interaction in Augmented Reality

  • Conference paper
  • First Online:
Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1057))

  • 1296 Accesses

Abstract

In the present day scenario, it can be observed that in majority of the projects coming up, the focus on specific product requirement and their immediate solutions is the approach to the existing and upcoming augmented reality problem statements. Exploring more into the functionalities and the roadmap to it is not taken much interest in. This paper desires to explore a few of such augmented reality applications when overlapped with human and computer interaction concepts for them to be a little more user-centric giving them an advantage of not only being more robust with respect to usability but also be popular in the markets for the same reasons. It is a small-scale attempt to bridge the gap between user convenience and upcoming technology of augmented reality, by studying various augmented reality projects in different fields including medical instruments, augmented dance, augmented architectural study, etc., and assessing them on the basis of the most common human–computer interaction parameters that were identified by literature surveys and further inferring the most important parameter, the problem areas, advantages, and challenges of the system by the results obtained.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Huang, X.: Virtual reality/augmented reality technology: the next chapter of human-computer interaction (2015)

    Google Scholar 

  2. Dünser, A., Grasset, R., Seichter, H., Billinghurst, M.: Applying HCI principles to AR systems design (2007)

    Google Scholar 

  3. Ali, M.R., Morris, T.: Usability evaluation framework for computer vision based interfaces. World Acad. Sci., Eng. Technol., Int. J. Comput., Electr., Autom., Control. Inf. Eng. 6(10), 1208–1213 (2012)

    Google Scholar 

  4. Agrawal, A., Acharya, G., Balasubramanian, K., Agrawal, N., Chaturvedi, R.: A review on the use of augmented reality to generate safety awareness and enhance emergency response. Int. J. Curr. Eng. Technology. Tool Based Augment. R.ity Anat. J. Sci. Educ. Technol. 24(1), 119–124 (2016)

    Google Scholar 

  5. Javornik, A., Rogers, Y., Moutinho, A.M., Freeman, R.: Revealing the shopper experience of using a “magic mirror” augmented reality make-up application. In: Conference on Designing Interactive Systems (vol. 2016, pp. 871–882). Association for Computing Machinery (ACM)

    Google Scholar 

  6. Brockhoeft, T., Petuch, J., Bach, J., Djerekarov, E., Ackerman, M., Tyson, G.: Interactive augmented reality for dance. In: Proceedings of the Seventh International Conference on Computational Creativity (2016)

    Google Scholar 

  7. Udtewar, S., Noronha, J.J., Chheda, Y.A.: Advanced AR-augmented reality using sixth sense technology. Int. J. Eng. Sci. 6153 (2016)

    Google Scholar 

  8. Gayathri, D., Om Kumar, S., Sunitha Ram C.: Marker based augmented reality application in education: teaching and learning. Int. J. Res. Appl. Sci. Eng. Technol. (IJRASET) (2016)

    Google Scholar 

  9. Chamberlain, D., Jimenez-Galindo, A., Fletcher, R.R., Kodgule, R.: Applying augmented reality to enable automated and low-cost data capture from medical devices. In: Proceedings of the Eighth International Conference on Information and Communication Technologies and Development (p. 42). ACM (2016, June)

    Google Scholar 

  10. Canciani, M., Conigliaro, E., Grasso, M.D., Papalini, P., Saccone, M.: 3D survey and augmented reality for cultural heritage. The case study of Aurelian wall at Castra Praetoria in Rome. Int. Arch. Photogramm., Remote. Sens. Spat. Inf. Sci. 41 (2016)

    Google Scholar 

  11. Pagani, A., Henriques, J., Stricker, D.: Sensors for location-based augmented reality the example of GALILEO and EGNOS. Int. Arch. Photogramm., Remote. Sens. Spat. Inf. Sci. 41, 1173 (2016)

    Article  Google Scholar 

  12. Rameau, F., Ha, H., Joo, K., Choi, J., Park, K., Kweon, I.S.: A real-time augmented reality system to see-through cars. IEEE Trans. Visual Comput. Graphics 22(11), 2395–2404 (2016)

    Article  Google Scholar 

  13. To, H., Park, H., Kim, S.H., Shahabi, C.: Incorporating geo-tagged mobile videos into context-aware augmented reality applications. In: 2016 IEEE Second International Conference on Multimedia Big Data (BigMM) (pp. 295–302). IEEE (2016, April)

    Google Scholar 

  14. Webb, B.: HCI Lecture 1: principles

    Google Scholar 

  15. Demczuk, V.J.: Human-Computer interaction: an overview. (No. DSTO-TR-0260). Defence Science and Technology Organization Canberra (Australia) (1995)

    Google Scholar 

  16. Egan, D.E.: Individual differences in human-computer interaction. In: Handbook of Human-Computer Interaction, pp. 543–568 (1988)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, 632014, India

    S. K. Janani & P. Swarnalatha

Authors
  1. S. K. Janani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. Swarnalatha
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. K. Janani .

Editor information

Editors and Affiliations

  1. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  2. Department of Mathematics, South Asian University, New Delhi, Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  4. Department of Mathematics, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  5. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Ponnambalam Pathipooranam

  6. School of Electrical Engineering, VIT University, Vellore, Tamil Nadu, India

    Rani Chinnappa Naidu

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Janani, S.K., Swarnalatha, P. (2020). Study of Human–Computer Interaction in Augmented Reality. In: Das, K., Bansal, J., Deep, K., Nagar, A., Pathipooranam, P., Naidu, R. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 1057. Springer, Singapore. https://doi.org/10.1007/978-981-15-0184-5_71

Download citation

Publish with us

Policies and ethics