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Social Robots: Views of special education teachers

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Published:01 October 2015Publication History

ABSTRACT

Social Robotics is an emerging field, with many applications envisioned including in the special education system. This paper presents results of an exploratory study that interviewed six special education teachers on a) whether they can see Social Robots being used within their settings; b) what roles they could envision Social Robots to perform; and c) whether Social Robots could be bullied and conceivably become the bullies. Our exploratory study revealed a) a deep skepticism towards Social Robots being used in the special education setting; b) the roles envisioned for them were mostly mechanical, repetitive tasks with no communication needs; and c) that they were seen as a target for being bullied and becoming bullies with some believing them to be useful in educating about bullying.

References

  1. Beran, T., Stanton, L., Hetherington, R., Mishna, F., and Shariff, S., 2012. Development of the bullying and health experiences scale. Interactive journal of medical research 1, 2.Google ScholarGoogle Scholar
  2. Brandt, A., Zaveri, K., Fernandez, K., Jondoh, L., Duran, E., Bell, L., Gutierrez, J., Benna, N., and Cruz, D., 2012. School Bullying Hurts: Evidence of Psychological and Academic Challenges among Students with Bullying Histories. Undergraduate Research Journal for the Human Sciences 11, 1.Google ScholarGoogle Scholar
  3. Broadbent, E., Stafford, R., and MacDonald, B., 2009. Acceptance of healthcare robots for the older population: Review and future directions. International journal of social robotics 1, 4 (2009), 319--330.Google ScholarGoogle Scholar
  4. Cabibihan, J.-J., Javed, H., Ang Jr, M., and Aljunied, S.M., 2013. Why robots? A survey on the roles and benefits of social robots in the therapy of children with autism. International journal of social robotics 5, 4, 593--618.Google ScholarGoogle Scholar
  5. Da Silva, R.R. and Romero, R.A.F., 2012. Modelling shared attention through relational reinforcement learning. Journal of Intelligent and Robotic Systems: Theory and Applications 66, 1--2 (2012), 167--182. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Diep, L., Cabibihan, J.-J., and Wolbring, G., 2014. Social Robotics through an Anticipatory Governance Lens. In Social Robotics, M. BEETZ, B. JOHNSTON and M.-A. WILLIAMS Eds. Springer International Publishing, 115--124. DOI= http://dx.doi.org/10.1007/978-3-319-11973-1_12.Google ScholarGoogle Scholar
  7. Flandorfer, P., 2012. Population Ageing and Socially Assistive Robots for Elderly Persons: The Importance of Sociodemographic Factors for User Acceptance. International Journal of Population Research 2012(2012).Google ScholarGoogle Scholar
  8. Fridin, M., 2013. Storytelling by a Kindergarten Social Assistive Robot: a tool for constructive learning in preschool education. Computers & Education. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Gelderblom, G.J., Bemelmans, R., Spierts, N., Jonker, P., and De Witte, L., Development of PARO interventions for dementia patients in Dutch psycho-geriatric care. In 2nd International Conference on Social Robotics, ICSR 2010, November 23, 2010 - November 24, 2010 Springer Verlag, 253--258. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Guston, D., 2008. Innovation policy: not just a jumbo shrimp. Nature 454, 7207, 940--941.Google ScholarGoogle Scholar
  11. Guston, D.H., 2014. Understanding 'anticipatory governance'. Social Studies of Science 44, 2, 218--242.Google ScholarGoogle ScholarCross RefCross Ref
  12. Heerink, M., Kr+Âse, B., Evers, V., and Wielinga, B., 2010. Assessing acceptance of assistive social agent technology by older adults: the almere model. International journal of social robotics 2, 4 (2010), 361--375.Google ScholarGoogle Scholar
  13. Heylen, D., Van Dijk, B., and Nijholt, A., 2012. Robotic Rabbit Companions: Amusing or a nuisance? Journal on Multimodal User Interfaces 5, 1--2 (2012), 53--59.Google ScholarGoogle ScholarCross RefCross Ref
  14. Jayoung, S., Grinter, R.E., and Christensen, H.I., 2010. Domestic Robot Ecology: An Initial Framework to Unpack Long-Term Acceptance of Robots at Home. International journal of social robotics 2, 4 (12/2010), 417--429.Google ScholarGoogle Scholar
  15. Kahn Jr, P.H., Kanda, T., Ishiguro, H., Gill, B.T., Ruckert, J.H., Shen, S., Gary, H.E., Reichert, A.L., Freier, N.G., and Severson, R.L., 2012. Do people hold a humanoid robot morally accountable for the harm it causes? In Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction ACM, 33--40. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Keren, G. and Fridin, M., 2014. Kindergarten Social Assistive Robot (KindSAR) for children's geometric thinking and metacognitive development in preschool education: A pilot study. Computers in Human Behavior 35, June, 400--412.Google ScholarGoogle ScholarCross RefCross Ref
  17. Lee, K.M., Jung, Y., Kim, J., and Kim, S.R., 2006. Are physically embodied social agents better than disembodied social agents?: The effects of physical embodiment, tactile interaction, and people's loneliness in human--robot interaction. International Journal of Human-Computer Studies 64, 10, 962--973. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Miklosi, A. and Gacsi, M., 2012. On the utilization of social animals as a model for social robotics. Frontiers in Psychology 3, 75. DOI= http://dx.doi.org/10.3389/fpsyg.2012.00075.Google ScholarGoogle ScholarCross RefCross Ref
  19. Queensland Government, 2014. Bullying, disability and mental health Queensland Government, online.Google ScholarGoogle Scholar
  20. Shibata, T., Kawaguchi, Y., and Wada, K., 2012. Investigation on People Living with Seal Robot at Home. International journal of social robotics 4, 1 (2012), 53--63.Google ScholarGoogle Scholar
  21. Stafford, R.Q., MacDonald, B.A., Jayawardena, C., Wegner, D.M., and Broadbent, E., 2013. Does the Robot Have a Mind? Mind Perception and Attitudes Towards Robots Predict Use of an Eldercare Robot. International journal of social robotics, 1--16.Google ScholarGoogle Scholar
  22. Thill, S., Pop, C.A., Belpaeme, T., Ziemke, T., and Vanderborght, B., 2013. Robot-assisted therapy for autism spectrum disorders with (partially) autonomous control: Challenges and outlook. Paladyn, 1--9.Google ScholarGoogle Scholar
  23. Turkle, S., 2007. Authenticity in the age of digital companions. Interaction Studies 8, 3, 501--517.Google ScholarGoogle ScholarCross RefCross Ref
  24. Van Den Brule, R., Dotsch, R., Bijlstra, G., Wigboldus, D.H., and Haselager, P., 2014. Do Robot Performance and Behavioral Style affect Human Trust? International journal of social robotics, 1--13.Google ScholarGoogle Scholar
  25. Van Oost, E. and Reed, D., 2011. Towards a Sociological Understanding of Robots as Companions. In Human-Robot Personal Relationships Springer, 11--18.Google ScholarGoogle Scholar
  26. Wainer, J., Dautenhahn, K., Robins, B., and Amirabdollahian, F., 2014. A pilot study with a novel setup for collaborative play of the humanoid robot KASPAR with children with autism. International journal of social robotics 6, 1, 45--65.Google ScholarGoogle Scholar
  27. Welch, K.C., Lahiri, U., Warren, Z., and Sarkar, N., 2010. An Approach to the Design of Socially Acceptable Robots for Children with Autism Spectrum Disorders. International journal of social robotics 2, 4 (12/2010), 391--403.Google ScholarGoogle Scholar
  28. Winsper, C., Lereya, T., Zanarini, M., and Wolke, D., 2012. Involvement in bullying and suicide-related behavior at 11 years: a prospective birth cohort study. Journal of the American Academy of Child & Adolescent Psychiatry 51, 3, 271--282. e273.Google ScholarGoogle ScholarCross RefCross Ref
  29. Wolbring, G. and Yumakulov, S., 2014. Social Robots: Views of Staff of a Disability Service Organization. International journal of social robotics 6, 3, 457--468. DOI= http://dx.doi.org/10.1007/s12369-014-0229-z.Google ScholarGoogle Scholar
  30. Yumakulov, S., Yergens, D., and Wolbring, G., 2012. Imagery of people with disabilities within social robotics research. Proc.ICSR, LNAI 7621(2012), 168--177. DOI=http://dx.doi.org/10.1007/978-3-642-34103-8_1 Google ScholarGoogle ScholarDigital LibraryDigital Library

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    • Published in

      cover image ACM Other conferences
      REHAB '15: Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques
      October 2015
      176 pages
      ISBN:9781450338981
      DOI:10.1145/2838944

      Copyright © 2015 ACM

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      Publication History

      • Published: 1 October 2015

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