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R2C3, A Rehabilitation Robotic Companion for Children and Caregivers: The Collaborative Design of a Social Robot for Children with Neurodevelopmental Disorders

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Abstract

Neurodevelopmental disorders (NDD) are a group of conditions affecting children’s neurodevelopment with consequences on personal, social, and educational functioning. Social robots have been used in the rehabilitation of children with NDD with encouraging results on learning outcomes. This study aims at understanding how a social robot should act to support caregivers during the rehabilitation of children with NDD. Through a Design-Based-Research approach, we investigate this question by considering the point of view of the most concerned and expert people, i.e., children with NDD and their caregivers. We present here the collaborative and iterative design of R2C3, a social robot used to support caregivers and children during rehabilitation sessions in a learning-by-teaching scenario. 27 caregivers and 6 children participated in the iterative design and/or the evaluation of R2C3, that resulted in the development of a Wizard-of-Oz interface and a library containing 120 robot behaviors. We then studied how caregivers used such behaviors during the rehabilitation sessions. We found they mainly used the robot to provide positive reinforcements to children, to elicit their reflection and knowledge toward shared handwriting activities, and to support children’s error acceptance. However, the utilization of Positive Reinforcement by caregivers tends to decrease significantly as the sessions progress.

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  1. Dynamilis website: https://dynamilis.com.

  2. ROS, Robot Operating System: https://ros.org/.

  3. rosbag: http://wiki.ros.org/rosbag.

  4. https://www.thematicanalysis.net/.

  5. iReCheck Project repository: https://github.com/irecheck/irecheck.

References

  1. American Psychiatric Association (2013) Diagnostic and Statistical Manual of Mental Disorders (DSM-5®). American Psychiatric Publication

  2. Anderson T, Shattuck J (2012) Design-based research: a decade of progress in education research? Educ Res 41(1):16–25. https://doi.org/10.3102/0013189X11428813

    Article  Google Scholar 

  3. Anzalone SM, Xavier J, Boucenna S, Billeci L, Narzisi A, Muratori F, Cohen D, Chetouani M (2019) Quantifying patterns of joint attention during human-robot interactions: An application for autism spectrum disorder assessment. Pattern Recognit Lett 118:42–50. https://doi.org/10.1016/j.patrec.2018.03.007

    Article  Google Scholar 

  4. Asselborn T, Gargot T, Kidziński Ł, Johal W, Cohen D, Jolly C, Dillenbourg P (2018) Automated human-level diagnosis of dysgraphia using a consumer tablet. Npj Digital Med 1(1):1–9. https://doi.org/10.1038/s41746-018-0049-x

    Article  Google Scholar 

  5. Bangor A (2009) Determining what individual SUS scores mean: adding an adjective rating scale. J Usab Stud 4(3):10

    Google Scholar 

  6. Bangor A, Kortum PT, Miller JT (2008) An empirical evaluation of the system usability scale. Int J Hum Comput Interact 24(6):574–594. https://doi.org/10.1080/10447310802205776

    Article  Google Scholar 

  7. Barab S (2005) Design-based research: a methodological toolkit for the learning scientist. In: Sawyer RK (Ed.) The Cambridge handbook of the learning sciences. Cambridge University Press, Cambridge, pp 153–170 https://doi.org/10.1017/CBO9780511816833.011

  8. Bartneck C, Belpaeme T, Eyssel F, Kanda T, Keijsers M, Šabanović S (2020) Human-robot interaction: an introduction. Cambridge University Press, Cambridge. https://doi.org/10.1017/9781108676649

    Book  Google Scholar 

  9. Bartneck C, Kulić D, Croft E, Zoghbi S (2009) Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int J Soc Robot 1(1):71–81. https://doi.org/10.1007/s12369-008-0001-3

    Article  Google Scholar 

  10. Belpaeme T, Kennedy J, Ramachandran A, Scassellati B, Tanaka F (2018) Social robots for education: a review. Sci Robot 3(21):5954. https://doi.org/10.1126/scirobotics.aat5954

    Article  Google Scholar 

  11. Biotteau M, Danna J, Baudou É, Puyjarinet F, Velay J-L, Albaret J-M, Chaix Y (2019) Developmental coordination disorder and dysgraphia: signs and symptoms, diagnosis, and rehabilitation. Neuropsychiatr Dis Treat 15:1873–1885. https://doi.org/10.2147/NDT.S120514

    Article  Google Scholar 

  12. Braun V, Clarke V (2006) Using thematic analysis in psychology. Qual Res Psychol 3(2):77–101. https://doi.org/10.1191/1478088706qp063oa

    Article  Google Scholar 

  13. Brooke J (1995) SUS—a quick and dirty usability scale. In Usability evaluation in industry, Taylor and Francis, London, pp 8–16

  14. Brooke J (2013) SUS: a retrospective. J Usab Stud 8(2):29–40

    Google Scholar 

  15. Carberry AR (2012) A review of learning-by-teaching for engineering educators. Adv Eng Educ 3(2):1–17

    Google Scholar 

  16. Christensen K, West RE (2017) The development of design-based research. In: Foundations of learning and instructional design technology (Pressbooks). Pressbooks. https://lidtfoundations.pressbooks.com/chapter/design-based-research/

  17. Chung PJ, Patel DR, Nizami I (2020) Disorder of written expression and dysgraphia: definition, diagnosis, and management. Transl Pediatr 9((Suppl 1)):S46–S54. https://doi.org/10.21037/tp.2019.11.01

    Article  Google Scholar 

  18. Cifuentes CA, Pinto MJ, Céspedes N, Múnera M (2020) Social robots in therapy and care. Curr Robot Rep 1(3):59–74. https://doi.org/10.1007/s43154-020-00009-2

    Article  Google Scholar 

  19. Cohen D, Anzalone S, Chetouani M (2022) Intelligence artificielle: quelles applications pour la psychopathologie du développement ? Neuropsychiatrie de l’Enfance et de l’Adolescence. https://doi.org/10.1016/j.neurenf.2022.03.003

    Article  Google Scholar 

  20. Dillenbourg P, Jermann P (2010) Technology for classroom orchestration. New science of learning: cognition, computers and collaboration in education, pp 525–552

  21. Eeckhout C, Francaux M, Philippot P (2012) Auto-efficacité perçue pour la pratique d’une activité physique: Adaptation et validation francophone du Exercise Confidence Survey. Can J Behav Sci 44(1):77–82. https://doi.org/10.1037/a0025317

    Article  Google Scholar 

  22. Elbeleidy S, Rosen D, Liu D, Shick A, Williams T (2021) Analyzing teleoperation interface usage of robots in therapy for children with autism

  23. Elbeleidy S, Shick A, Williams T (2021) Teleoperation interface usage in robot-assisted childhood ASD therapy, pp 162–166. https://doi.org/10.1145/3434074.3447151

  24. Gargot T, Asselborn T, Zammouri I, Brunelle J, Johal W, Dillenbourg P, Archambault D, Chetouani M, Cohen D, Anzalone SM (2021) “It is not the robot who learns, it is me”; Treating severe dysgraphia using Child-Robot Interaction. Front Psychiatr. https://doi.org/10.3389/fpsyt.2021.596055

    Article  Google Scholar 

  25. Gelsomini M, Degiorgi M, Garzotto F, Leonardi G, Penati S, Ramuzat N, Silvestri J, Clasadonte F (2017) Designing a robot companion for children with neuro-developmental disorders. IDC. https://doi.org/10.1145/3078072.3084308

    Article  Google Scholar 

  26. Gronier G, Baudet A (2021) Psychometric evaluation of the F-SUS: creation and validation of the French version of the system usability scale. Int J Hum-Comput Interact. https://doi.org/10.1080/10447318.2021.1898828

    Article  Google Scholar 

  27. Grossard C, Palestra G, Xavier J, Chetouani M, Grynszpan O, Cohen D (2018) ICT and autism care: state of the art. Curr Opin Psychiatry 31(6):474–483. https://doi.org/10.1097/YCO.0000000000000455

    Article  Google Scholar 

  28. Guha ML, Druin A, Fails JA (2013) Cooperative Inquiry revisited: reflections of the past and guidelines for the future of intergenerational co-design. Int J Child-Compu Interact 1(1):14–23. https://doi.org/10.1016/j.ijcci.2012.08.003

    Article  Google Scholar 

  29. Hamstra-Bletz L, de Bie J, den Brinker B (1987) Concise evaluation scale for children's handwriting. Lisse Swets 1 Zeitlinger

  30. Hassenzahl M (2006) Hedonic, emotional, and experiential perspectives on product quality [Chapter]. Encyclopedia of Human Computer Interaction; IGI Global. https://doi.org/10.4018/978-1-59140-562-7.ch042

  31. Hood D, Lemaignan S, Dillenbourg P (2015) The CoWriter project: teaching a robot how to write. In: Proceedings of the tenth annual ACM/IEEE international conference on human-robot interaction extended abstracts, https://doi.org/10.1145/2701973.2702091

  32. Hood D, Lemaignan S, Dillenbourg P (2015) When children teach a robot to write: an autonomous teachable humanoid which uses simulated handwriting. In: Proceedings of the tenth annual ACM/IEEE international conference on human-robot interaction, pp 83–90. https://doi.org/10.1145/2696454.2696479

  33. Jamet F, Masson O, Jacquet B, Stilgenbauer J-L, Baratgin J (2018) Learning by teaching with humanoid robot: a new powerful experimental tool to improve children’s learning ability. J Robot 2018:1–11

    Article  Google Scholar 

  34. Johal W (2020) Research trends in social robots for learning. Curr Robot Rep 1:75–83. https://doi.org/10.1007/s43154-020-00008-3

    Article  Google Scholar 

  35. Johnson WL, Lester JC (2016) Face-to-face interaction with pedagogical agents, twenty years later. Int J Artif Intell Educ 26(1):25–36. https://doi.org/10.1007/s40593-015-0065-9

    Article  Google Scholar 

  36. Kim Y, Baylor AL (2006) A social-cognitive framework for pedagogical agents as learning companions. Educ Tech Res Dev 54(6):569–596. https://doi.org/10.1007/s11423-006-0637-3

    Article  Google Scholar 

  37. Konijn EA, Smakman M, van den Berghe R (2020) Use of robots in education. In: The international encyclopedia of media psychology. John Wiley & Sons, Ltd., Hoboken pp 1–8 https://doi.org/10.1002/9781119011071.iemp0318

  38. Lallemand C, Gronier G (2018) Méthodes de design UX (Eyrolles). https://www.eyrolles.com/Informatique/Livre/methodes-de-design-ux-9782212673982

  39. Lallemand C, Koenig V, Gronier G, Martin R (2015) Création et validation d’une version française du questionnaire AttrakDiff pour l’évaluation de l’expérience utilisateur des systèmes interactifs. Eur Rev Appl Psychol 65(5):239–252. https://doi.org/10.1016/j.erap.2015.08.002

    Article  Google Scholar 

  40. Lemaignan S, Jacq A, Hood D, Garcia F, Paiva A, Dillenbourg P (2016) Learning by teaching a robot: the case of handwriting. IEEE Robot Autom Mag 23(2):56–66. https://doi.org/10.1109/MRA.2016.2546700

    Article  Google Scholar 

  41. Nasir J, Bruno B, Chetouani M, Dillenbourg P (2021) What if social robots look for productive engagement? Int J Soc Robot. https://doi.org/10.1007/s12369-021-00766-w

    Article  Google Scholar 

  42. Nasir J, Norman U, Bruno B, Dillenbourg P (2020) When positive perception of the robot has no effect on learning. In: 2020 29th IEEE international conference on robot and human interactive communication (RO-MAN), pp 313–320. https://doi.org/10.1109/RO-MAN47096.2020.9223343

  43. Nielsen J (2005) Ten usability heuristics. https://pdfs.semanticscholar.org/5f03/b251093aee730ab9772db2e1a8a7eb8522cb.pdf

  44. Papakostas GA, Sidiropoulos GK, Papadopoulou CI, Vrochidou E, Kaburlasos VG, Papadopoulou MT, Holeva V, Nikopoulou V-A, Dalivigkas N (2021) Social robots in special education: a systematic review. Electronics. https://doi.org/10.3390/electronics10121398

    Article  Google Scholar 

  45. Parameswaran UD, Ozawa-Kirk JL, Latendresse G (2020) To live (code) or to not: a new method for coding in qualitative research. Qual Soc Work 19(4):630–644. https://doi.org/10.1177/1473325019840394

    Article  Google Scholar 

  46. Pivetti M, Di Battista S, Agatolio F, Simaku B, Moro M, Menegatti E (2020) Educational robotics for children with neurodevelopmental disorders: a systematic review. Heliyon 6(10):e05160. https://doi.org/10.1016/j.heliyon.2020.e05160

    Article  Google Scholar 

  47. Ridley E, Riby DM, Leekam SR (2020) A cross-syndrome approach to the social phenotype of neurodevelopmental disorders: Focusing on social vulnerability and social interaction style. Res Dev Disabil 100:103604. https://doi.org/10.1016/j.ridd.2020.103604

    Article  Google Scholar 

  48. Riek L (2012) Wizard of Oz studies in HRI: a systematic review and new reporting guidelines. J Human-Robot Interact. https://doi.org/10.5898/JHRI.1.1.Riek

    Article  Google Scholar 

  49. Roscoe RD, Chi MT (2008) Tutor learning: the role of explaining and responding to questions. Instr Sci 36:321–350. https://doi.org/10.1007/s11251-007-9034-5

    Article  Google Scholar 

  50. Saleh MA, Hanapiah FA, Hashim H (2021) Robot applications for autism: a comprehensive review. Disabil Rehabil Assist Technol 16(6):580–602. https://doi.org/10.1080/17483107.2019.1685016

    Article  Google Scholar 

  51. Steinfeld A, Jenkins OC, Scassellati B (2009) The oz of wizard: simulating the human for interaction research. In: Proceedings of the 4th ACM/IEEE international conference on human robot interaction, pp 101–108. https://doi.org/10.1145/1514095.1514115

  52. Tschacher W, Junghan UM, Pfammatter M (2014) Towards a taxonomy of common factors in psychotherapy—results of an expert survey. Clin Psychol Psychother 21(1):82–96. https://doi.org/10.1002/cpp.1822

    Article  Google Scholar 

  53. Valentine AZ, Brown BJ, Groom MJ, Young E, Hollis C, Hall CL (2020) A systematic review evaluating the implementation of technologies to assess, monitor and treat neurodevelopmental disorders: a map of the current evidence. Clin Psychol Rev 80:101870. https://doi.org/10.1016/j.cpr.2020.101870

    Article  Google Scholar 

  54. Zou J, Gauthier S, Anzalone S, Cohen D, Archambault D (2022) A wizard of oz interface with qtrobot for facilitating the handwriting learning in children with dysgraphia and its usability evaluation, pp 219–225. https://doi.org/10.1007/978-3-031-08645-8_26

  55. Zubrycki I, Granosik G (2016) Understanding therapists’ needs and attitudes towards robotic support. The roboterapia project. Int J Soc Robot 8(4):553–563. https://doi.org/10.1007/s12369-016-0372-9

    Article  Google Scholar 

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Acknowledgements

Authors thank the EPFL team working in the iReCheck Project: Prof. Pierre Dillenbourg, Dr. Barbara Bruno, Dr. Daniel Tozadore and Chenyang Wang. Authors want to thank the Dynamilis team for their collaboration.

Funding

This work is financed by the bilateral French-Swiss ANR-FNS project iReCheck, Grant No. ANR-19-CE19-0029—FNS 200021E 189475/1. The study was reviewed and approved by the ethics committee of Sorbonne University, ID: CER-2020–103. The authors declare that they have no conflict of interest. Data will be made available on reasonable request to the authors of this paper.

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Zou, J., Gauthier, S., Pellerin, H. et al. R2C3, A Rehabilitation Robotic Companion for Children and Caregivers: The Collaborative Design of a Social Robot for Children with Neurodevelopmental Disorders. Int J of Soc Robotics 16, 599–617 (2024). https://doi.org/10.1007/s12369-024-01104-6

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