Skip to main content

User-Specific Interfaces of Teaching Devices for Manipulation of Collaborative Robot

  • Conference paper
  • First Online:
HCI International 2020 – Late Breaking Posters (HCII 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1293))

Included in the following conference series:

  • 1213 Accesses

Abstract

As the use of robotics in manufacturing and industrial settings continues to advance, expand, and evolve at a speedy pace, efficient collaboration between robots and workers becomes increasingly important. Known as cobots, collaborative robots are highly designed so they can perform tasks continuously and accurately alongside human workers in a safe mode. However, it is not easy to control cobots proficiently and directly in case of scaling of industrial robots for the beginners and skilled engineers. Thus, research for human-robot interaction (HRI) still remains to be challenged. Particularly, users who work with collaborative robot currently need robust and facile methodologies for human-robot collaboration to enhance user experience (UX) and to use direct teaching affordably. Up to date, teaching devices considering more intuitive graphical user interface (GUI) have been intensively exploited, thereby eliminating the need for safety barriers. However, it is still inevitable to consider safety issues that may arise when users work with cobots. Therefore, it is important to properly assign well-adapted functions to each user. There is still a big challenge to develop a more efficient way to authorization of suitable functions to different users.

This paper deals with the user-specific interface considering the user’s role for improving the usability and convenience. It provides multiple functions of teaching devices simply used by not only the robot engineers but also developers and operators. We applied the method of user experience such as user journey map and persona to develop the interfaces of teaching device that can operate appropriate tasks with ease by users. In the present study, we introduce the user-specific interfaces for developers, operators, and robot engineers including beginner and experts.

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

Access this chapter

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 EPUB and 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

References

  1. Holmes, A., et al.: Intuitive interfaces in human-robot interaction. In: Giulian, M., Assaf, T., Giannaccini, M.E. (eds.) Towards, Autonomous Robotic Systems. 19th Towards Autonomous Robotic Systems (TAROS) Conference. LNCS. Springer, Cham (2018)

    Google Scholar 

  2. Khan, S., Germak, C.: Reframing HRI design opportunities for social robots: lessons learnt from a service robotics case study approach using UX for HRI. Future Internet 10, 101 (2018)

    Google Scholar 

  3. Tonkin, M., Vitale, J., Herse, S., Williams, M., Judge, W., Wang, X.: Design methodology for the UX of HRI: a field study of a commercial social robot at an airport. In: HRI 2018 Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, pp. 407–415 (2018)

    Google Scholar 

  4. Yoo, S.: Development and validation of block coding based human-robot teaching pendant UX. J. Integr. Des. Res. 17(4), 9–18 (2018)

    Article  Google Scholar 

  5. Kraft, M., Rickert, M.: How to teach your robot in 5 minutes: applying UX paradigms to human-robot-interaction. In: 26th IEEE International Symposium on Robot and Human Interactive Communication, pp. 942–949 (2017)

    Google Scholar 

  6. Balázs, D., Korondi, P., Sziebig, G., Thomessen, T.: Evaluation of flexible graphical user interface for intuitive human robot interactions. Acta Polytechnica Hungarica 11(1), 135–151 (2014)

    Google Scholar 

  7. Hartson, R., Pyla, P.S.: The UX Book: Process and Guidelines for Ensuring a Quality User Experience. Elsevier, Amsterdam (2012)

    Google Scholar 

  8. Examples of UX personas. https://qubstudio.com/blog/4-examples-of-ux-personas/

  9. A beginner’s guide to user journey mapping. https://uxplanet.org/a-beginners-guide-to-user-journey-mapping-bd914f4c517c

Download references

Acknowledgements

This work was supported by Electronics and Telecommunications Research Institute (ETRI) grant funded by the Korean government. [20ZD1130, Development of ICT Convergence Technology for Daegu-GyeongBuk Regional Industry].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeyoun Dong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dong, J., Jo, S.H., Kwon, W., Kang, D., Chung, Y. (2020). User-Specific Interfaces of Teaching Devices for Manipulation of Collaborative Robot. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-60700-5_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-60700-5_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60699-2

  • Online ISBN: 978-3-030-60700-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics