Skip to main content

Towards the Design of a Robot for Supporting Children’s Attention During Long Distance Learning

  • Conference paper
  • First Online:
Social Robotics (ICSR 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12483))

Included in the following conference series:

Abstract

Educational robots have proven to be effective at supporting students and teachers in classrooms. However, when schools are not available and education must continue online, the lack of a common physical space for learners and instructors might make it difficult for these robots to be used. Remote education through an online environment is possible but not without some limitations. In fact, when using the home as an educational setting, the lack of physical interaction between children, teachers, and their peers can lead to problems, such as loss of motivation or decrease in attention level. In this paper, we describe the design process of a robot to support children during long distance learning. We conducted a survey to student, parents and teacher to understand the problematic and gather information about the possible use of a robot for support students. We then propose the concept of a companion robot for supporting children during online classes. The robot’s main function is to increase children’s awareness and attention by monitoring the teacher’s voice and redirecting the student’s attention through expressive behavior. Future work will focus on the implementation of the robot and consider additional features.

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. Admoni, H., Scassellati, B.: Social eye gaze in human-robot interaction: a review. J. Hum.-Robot Interact. 6(1), 25 (2017). https://doi.org/10.5898/JHRI.6.1.Admoni

  2. Anderson-Bashan, L., et al.: The greeting machine: an abstract robotic object for opening encounters. In: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 595–602. IEEE, August 2018. https://doi.org/10.1109/ROMAN.2018.8525516

  3. Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati, B., Tanaka, F.: Social robots for education: a review. Sci. Robot. 3(21) (2018). https://doi.org/10.1126/scirobotics.aat5954

  4. Cha, E., Chen, S., Mataric, M.J.: Designing telepresence robots for K-12 education. In: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), vol. 2017-Janua, pp. 683–688. IEEE, August 2017. https://doi.org/10.1109/ROMAN.2017.8172377

  5. Davison, D.P., Wijnen, F.M., van der Meij, J., Reidsma, D., Evers, V.: Designing a social robot to support children’s inquiry learning: a contextual analysis of children working together at school. Int. J. Soc. Robot. 12(4), 883–907 (2019). https://doi.org/10.1007/s12369-019-00555-6

    Article  Google Scholar 

  6. Feil-Seifer, D., Haring, K.S., Rossi, S., Wagner, A.R., Williams, T.: Where to next? The impact of covid-19 on human-robot interaction research. J. Hum.-Robot Interact. 10(1) (2020). https://doi.org/10.1145/3405450

  7. Fitter, N.T., Chowdhury, Y., Cha, E., Takayama, L., Matari, M.J.: Evaluating the effects of personalized appearance on telepresence robots for education. In: ACM/IEEE International Conference on Human-Robot Interaction, pp. 109–110 (2018). https://doi.org/10.1145/3173386.3177030

  8. Hedegaard, M.: The significance of demands and motives across practices in children’s learning and development: an analysis of learning in home and school. Learn. Cult. Soc. Interact. 3(3), 188–194 (2014). https://doi.org/10.1016/j.lcsi.2014.02.008

    Article  Google Scholar 

  9. Hoffman, G., Zuckerman, O., Hirschberger, G., Luria, M., Shani Sherman, T.: Design and evaluation of a peripheral robotic conversation companion. In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction - HRI 2015, pp. 3–10. ACM Press, New York (2015). https://doi.org/10.1145/2696454.2696495

  10. Kwon, O.H., Koo, S.Y., Kim, Y.G., Kwon, D.S.: Telepresence robot system for English tutoring. In: Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO, pp. 152–155 (2010). https://doi.org/10.1109/ARSO.2010.5679999

  11. Moon, A., et al.: Meet me where i’m gazing. In: Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction - HRI 2014, pp. 334–341. ACM Press, New York (2014). https://doi.org/10.1145/2559636.2559656

  12. Mubin, O., Stevens, C.J., Shahid, S., Mahmud, A.A., Dong, J.J.: A review of the applicability of robots in education. Technol. Educ. Learn. 1(1) (2013). https://doi.org/10.2316/journal.209.2013.1.209-0015

  13. Pandey, A.K., Gelin, R.: Humanoid Robots in Education: A Short Review, pp. 1–16. Springer, Dordrecht (2016)

    Google Scholar 

  14. Pereira, A., Oertel, C., Fermoselle, L., Mendelson, J., Gustafson, J.: Responsive joint attention in human-robot interaction. In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1080–1087. IEEE, November 2019. https://doi.org/10.1109/IROS40897.2019.8968130

  15. Shidujaman, M., Zhang, S., Elder, R., Mi, H.: “RoboQuin”: a mannequin robot with natural humanoid movements. In: 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 1051–1056 (2018)

    Google Scholar 

  16. Tennent, H., Shen, S., Jung, M.: Micbot: a peripheral robotic object to shape conversational dynamics and team performance. In: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), vol. 2019-March, pp. 133–142. IEEE, March 2019. https://doi.org/10.1109/HRI.2019.8673013

  17. Viner, R.M., et al.: School closure and management practices during coronavirus outbreaks including COVID-19: a rapid systematic review. Lancet Child Adolesc. Health 4(5), 397–404 (2020). https://doi.org/10.1016/S2352-4642(20)30095-X

  18. Warta, S.F., Newton, O.B., Song, J., Best, A., Fiore, S.M.: Effects of social cues on social signals in human-robot interaction during a hallway navigation task. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 62, no. 1, pp. 1128–1132, September 2018. https://doi.org/10.1177/1541931218621258

  19. Zhang, M., Duan, P., Zhang, Z., Esche, S.: Development of telepresence teaching robots with social capabilities. In: Engineering Education, vol. 5. American Society of Mechanical Engineers, November 2018. https://doi.org/10.1115/IMECE2018-86686

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dante Arroyo .

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

Arroyo, D., Guo, Y., Yu, M., Shidujaman, M., Fernandes, R. (2020). Towards the Design of a Robot for Supporting Children’s Attention During Long Distance Learning. In: Wagner, A.R., et al. Social Robotics. ICSR 2020. Lecture Notes in Computer Science(), vol 12483. Springer, Cham. https://doi.org/10.1007/978-3-030-62056-1_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-62056-1_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62055-4

  • Online ISBN: 978-3-030-62056-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics