Abstract
In general, humans can express their intents effortlessly. On the contrary, individuals with Autism Spectrum Disorder (ASD) present impairments in this area. Researchers are employing different technological strategies in order to improve the emotion recognition skills of individuals with ASD. Among those technological solutions, the use of Objects based on Playware Technology (OPT) in context of serious games is getting increasing attention. Following this trend, the present work proposes the development of an OPT module to be used as an add-on to the human-robot interaction with children with ASD in emotion recognition activities. To evaluate the proposed approach, usability tests with typically developing children in a school environment were conducted. Overall, the different evaluations allow estimating how the children interacted with the OPT.
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References
Christensen, D.L., et al.: Prevalence and characteristics of autism spectrum disorder among children aged 8 years — autism and developmental disabilities monitoring network, 11 sites, United States, 2012. MMWR Surveill. Summ. 65(3), 1–23 (2016)
Lund, H.H., Dam Pedersen, M., Beck, R.: Modular robotic tiles: experiments for children with autism. Artif. Life Robot. 13(2), 394–400 (2009)
Pennisi, P., et al.: Autism and social robotics: a systematic review. Autism Res. 9(2), 165–183 (2016)
Lund, H.H., Klitbo, T., Jessen, C.: Playware technology for physically activating play. Artif. Life Robot. 9(4), 165–174 (2005)
Tapus, A., Member, S., Scassellati, B.: The grand challenges in socially assistive robotics. IEEE Robot. Autom. Mag. 14, 1–7 (2007)
Kim, E., Paul, R., Shic, F., Scassellati, B.: Bridging the research gap: making HRI useful to individuals with autism. J. Hum. Robot Interact. 1(1), 26–54 (2012)
Costa, S.: Affective robotics for socio-emotional skills development in children with autism spectrum disorders. University of Minho (2014)
Begum, M., et al.: Measuring the efficacy of robots in autism therapy. In: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction - HRI 2015, pp. 335–342 (2015)
King, D.E.: Dlib-ml: a machine learning toolkit. J. Mach. Learn. Res. 10, 1755–1758 (2009)
Schuetze, M., Rohr, C.S., Dewey, D., McCrimmon, A., Bray, S.: Reinforcement learning in autism spectrum disorder. Front. Psychol. 8, 2035 (2017)
Acknowledgements
The authors would like to express their acknowledgments to COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. Vinicius Silva also thanks FCT for the PhD scholarship SFRH/BD/ SFRH/BD/133314/2017. The authors thank the teachers and students of the Elementary School of Gualtar (EB1/JI Gualtar) in Braga for the participation.
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Silva, V., Soares, F., Esteves, J.S., Pereira, A.P. (2019). PlayCube: Designing a Tangible Playware Module for Human-Robot Interaction. In: Ahram, T., Karwowski, W., Taiar, R. (eds) Human Systems Engineering and Design. IHSED 2018. Advances in Intelligent Systems and Computing, vol 876. Springer, Cham. https://doi.org/10.1007/978-3-030-02053-8_80
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DOI: https://doi.org/10.1007/978-3-030-02053-8_80
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