Skip to main content

Children Perceived Perception of a Mini-Humanoid Social Robot Based on a Psychometric Scale: A Pilot Study in Greece

  • Conference paper
  • First Online:
Social Robotics (ICSR 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13818))

Included in the following conference series:

Abstract

There is a growing interest in the integration of social robots in different applications in our daily lives. However, it can be challenging to design a social robot that is perceived positively among the target end-users. Psychometric scales can be used to give insights and assist in the designing of an acceptable social robot. In this study, the Greek adaptation of the Human-Robot Interaction Evaluation Scale (HRIES) has been considered to evaluate the attitude of children toward a developed social robot. Questionnaires were used to collect data from 40 neurotypical children before and after interacting with the social robot. The results showed no statistical differences due to gender. The analysis of the questionnaire scores revealed changes in the children’s perceptions after the session with the robot. This implies that direct interactions with a social robot helped in altering existing perceived attitudes toward social robots. Assessment tools, such as psychometric scales, are necessary to evaluate the acceptability of social robots.

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. Alhaddad, A.Y., et al.: Sense and learn: recent advances in wearable sensing and machine learning for blood glucose monitoring and trend-detection. Front. Bioeng. Biotechnol. 699 (2022)

    Google Scholar 

  2. Alhaddad, A.Y.: Toward 3D printed prosthetic hands that can satisfy psychosocial needs: grasping force comparisons between a prosthetic hand and human hands. In: International Conference on Social Robotics, pp. 304–313. Springer (2017)

    Google Scholar 

  3. Cabibihan, J.-J., Alhaddad, A.Y., Gulrez, T., Yoon, W.J.: Influence of visual and haptic feedback on the detection of threshold forces in a surgical grasping task. IEEE Robot. Autom. Lett. 6(3), 5525–5532 (2021)

    Article  Google Scholar 

  4. Broekens, J., Heerink, M., Rosendal, H., et al.: Assistive social robots in elderly care: a review. Gerontechnology 8(2), 94–103 (2009)

    Article  Google Scholar 

  5. Alhaddad, A.Y., Cabibihan, J.J., Bonarini, A.: Influence of reaction time in the emotional response of a companion robot to a child’s aggressive interaction. Int. J. Soc. Robot. 1–13 (2020)

    Google Scholar 

  6. Katsanis, I.A., Moulianitis, V.C., Panagiotarakos, D.T.: Design, development, and a pilot study of a low-cost robot for child-robot interaction in autism interventions. Multimodal Technol. Interact. 6(6), 43 (2022)

    Article  Google Scholar 

  7. Alban, A.Q., et al.: Detection of challenging behaviours of children with autism using wearable sensors during interactions with social robots. In: 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), pp. 852–857. IEEE (2021)

    Google Scholar 

  8. Alhaddad, A.Y., Cabibihan, J.-J., Bonarini, A.: Real-time social robot’s responses to undesired interactions between children and their surroundings. Int. J. Soc. Robot. 1–9 (2022)

    Google Scholar 

  9. Feil-Seifer, D., Mataric, M.J.: Defining socially assistive robotics. In: 9th International Conference on Rehabilitation Robotics, 2005. ICORR 2005, pp. 465–468. IEEE (2005)

    Google Scholar 

  10. Alhaddad, A.Y., Cabibihan, J.-J., Hayek, A., Bonarini, A.: Safety experiments for small robots investigating the potential of soft materials in mitigating the harm to the head due to impacts. SN Appl. Sci. 1(5), 1–10 (2019). https://doi.org/10.1007/s42452-019-0467-7

    Article  Google Scholar 

  11. Begum, M., Serna, R.W., Yanco, H.A.: Are robots ready to deliver autism interventions? a comprehensive review. Int. J. Soc. Robot. 8(2), 157–181 (2016)

    Article  Google Scholar 

  12. Alhaddad, A.Y., Cabibihan, J.-J., Hayek, A., Bonarini, A.: Influence of the shape and mass of a small robot when thrown to a dummy human head. SN Appl. Sci. 1(11), 1–9 (2019). https://doi.org/10.1007/s42452-019-1447-7

    Article  Google Scholar 

  13. Bogue, R.: Rehabilitation robots. Ind. Robot Int. J. 45(3), 301–306 (2018)

    Google Scholar 

  14. Alhaddad, A.Y., Cabibihan, J.-J., Bonarini, A.: Recognition of aggressive interactions of children toward robotic toys. In: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 1–8. IEEE (2019)

    Google Scholar 

  15. Cabibihan, J.J.: Social robots and wearable sensors for mitigating meltdowns in autism - a pilot test. In: Ge, S.S., et al. (eds.) ICSR 2018. LNCS (LNAI), vol. 11357, pp. 103–114. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-05204-1_11

    Chapter  Google Scholar 

  16. Katsanis, I.A., Moulianitis, V.C.: An architecture for safe child-robot interactions in autism interventions. Robotics 10(1), 20 (2021)

    Article  Google Scholar 

  17. Alhaddad, A.Y., Cabibihan, J.-J., Bonarini, A.: Head impact severity measures for small social robots thrown during meltdown in autism. Int. J. Soc. Robot. 11(2), 255–270 (2019)

    Article  Google Scholar 

  18. Spatola, N., Kühnlenz, B., Cheng, G.: Perception and evaluation in human-robot interaction: the human-robot interaction evaluation scale (hries)-a multicomponent approach of anthropomorphism. Int. J. Soc. Robot. 13(7), 1517–1539 (2021)

    Article  Google Scholar 

  19. Alhaddad, A.Y., Mecheter, A., Wadood, M.A., Alsaari, A.S., Mohammed, H., Cabibihan, J.-J.: Anthropomorphism and its negative attitudes, sociability, animacy, agency, and disturbance requirements for social robots: a pilot study. In: Li, H., et al. (eds.) ICSR 2021. LNCS (LNAI), vol. 13086, pp. 791–796. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-90525-5_73

    Chapter  Google Scholar 

  20. Alhaddad, A.Y., Javed, H., Connor, O., Banire, B., Al Thani, D., Cabibihan, J.J.: Robotic trains as an educational and therapeutic tool for autism spectrum disorder intervention. In: International Conference on Robotics and Education RiE 2017, pp. 249–262. Springer (2018)

    Google Scholar 

  21. Bartneck, C., Kulić, D., Croft, E., Zoghbi, S.: Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Soc. Robot. 1(1), 71–81 (2009)

    Article  Google Scholar 

  22. Carpinella, C.M., Wyman, A.W., Perez, M.A., Stroessner, S.J.: The robotic social attributes scale (rosas) development and validation. In: Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction, pp. 254–262 (2017)

    Google Scholar 

  23. Nomura, T., Suzuki, T., Kanda, T., Kato, K.: Measurement of negative attitudes toward robots. Interact. Stud. 7(3), 437–454 (2006)

    Article  Google Scholar 

  24. Peca, A., et al.: Robot enhanced therapy for children with autism disorders: measuring ethical acceptability. IEEE Technol. Soc. Mag. 35(2), 54–66 (2016)

    Google Scholar 

  25. Sheba, J.K., Mohan, R.E., García, E.A.M.: Easiness of acceptance metric for effective human robot interactions in therapeutic pet robots. In: 2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 150–155. IEEE (2012)

    Google Scholar 

  26. Young, J.E., Hawkins, R., Sharlin, E., Igarashi, T.: Toward acceptable domestic robots: applying insights from social psychology. Int. J. Soc. Robot. 1(1), 95–108 (2009)

    Article  Google Scholar 

  27. Dang, J., Liu, L.: Robots are friends as well as foes: ambivalent attitudes toward mindful and mindless AI robots in the United States and China. Comput. Hum. Behav. 115, 106612 (2021)

    Google Scholar 

  28. Backonja, U., et al.: Comfort and attitudes towards robots among young, middle-aged, and older adults: a cross-sectional study. J. Nurs. Sch. 50(6), 623–633 (2018)

    Article  Google Scholar 

  29. Paetzel, M., Perugia, G., Castellano, G.: The persistence of first impressions: the effect of repeated interactions on the perception of a social robot. In: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, pp. 73–82 (2020)

    Google Scholar 

  30. Tung, F.-W.: Influence of gender and age on the attitudes of children towards humanoid robots. In: Jacko, J.A. (ed.) HCI 2011. LNCS, vol. 6764, pp. 637–646. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21619-0_76

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to John-John Cabibihan .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 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

Katsanis, I., Alhaddad, A.Y., Cabibihan, JJ., Moulianitis, V. (2022). Children Perceived Perception of a Mini-Humanoid Social Robot Based on a Psychometric Scale: A Pilot Study in Greece. In: Cavallo, F., et al. Social Robotics. ICSR 2022. Lecture Notes in Computer Science(), vol 13818. Springer, Cham. https://doi.org/10.1007/978-3-031-24670-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-24670-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-24669-2

  • Online ISBN: 978-3-031-24670-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics