Abstract
Programmable and non-programmable educational robots are, in most cases, associated with sedentary behavior in children. Children interact with educational robots mostly in indoor environments. Whole-body interaction and natural environments seem to potentiate children’s physical and mental health. In order to potentiate children’s physical and mental health we have developed a new set of robotic devices - Biosymtic Robotic devices. We describe the main computational models of Biosymtic Robotic devices: a computational model demonstrating how to increase children’s physical activity levels and contact with natural environments through automatic feedback control mechanisms; a theoretical cognitive model on how to program robotic devices through whole-body interaction in natural environments.
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American Heart Association 2015. Target Heart Rates. http://www.heart.org/HEARTORG/GettingHealthy/PhysicalActivity/FitnessBasics/Target-Heart-Rates_UCM_434341_Article.jsp
Bar-Cohen, Y., Breazeal, C.: Biologically inspired intelligent robotics. In: Proceedings of the SPIE Smart Structures Conference, San Diego, CA, pp. 1–7 (2003)
Barsalou, L.W.: Perceptual symbol systems. Behav. Brain Sci. 22(4), 577–660 (1999)
Boreham, C., Riddoch, C.: The physical activity, fitness and health of children. J. Sports Sci. 19(12), 915–929 (2001)
Calinon, S., Billard, A.: What is the teacher’s role in robot programming by demonstration? Toward benchmarks for improved learning. Interact. Stud. 8(3), 441–464 (2007). Special Issue on Psychological Benchmarks in Human-Robot Interaction
Chaddock, L., Erickson, K.I., Prakash, R.S., Kim, J.S., Voss, M.W., Vanpatter, M., Kramer, A.F.: A neuroimaging investigation of the association between aerobic fitness, hippocampal volume and memory performance in preadolescent children. Brain Res. 1358, 172–183 (2010)
Espinoza, R.R., Nalin, M., Wood, R., Baxter, P., Looije, R., Demiris, Y.: Child-robot interaction in the wild: advice to the aspiring experimenter. In: Proceedings of the 13th International Conference on Multimodal Interfaces, ICMI 2011, pp. 335–342. ACM (2011)
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Grigore, E.C., Scassellati, B.: Maintaining engagement in shared goals with a personal robot companion through motivational state modeling. In: 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Portland, OR (2015)
Jensen, E.: Learning with the Body in the Mind: The Scientific Basis for Energizers, Movement, Play, Games, and Physical Education. The Brain Store, Inc., Chicago (2000)
Kirstein, F., Risager, R.V.: Social robots in educational institutions. They came to stay: introducing, evaluating, and securing social robots in daily education. In: The Eleventh ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016, pp. 453–454. IEEE Press, Piscataway (2016)
Meyer, J.-A., Guillot, A.: Biologically inspired robots. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1395–1422. Springer, Heidelberg (2008)
Minsky, M.L.: Robotics. Omni Press Book, New York (1985)
von Neumann, J.: Theory of Self-Reproducing Automata. Burks, A.W. (ed.) University of Illinois Press, Urbana and London (1966)
Papert, S.: Mindstorms, Children, Computers and Powerful Ideas, 2nd edn. Basic Books, New York (1980)
Piek, J.P., Dawson, L., Smith, L.M., Gasson, N.: The role of early fine and gross motor development on later motor and cognitive ability. Hum. Mov. Sci. 27(5), 668–681 (2008)
World Health Organization 2013. Physical Activity and Young People. http://www.who.int/dietphysicalactivity/factsheet_young_people/en/
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Ferraz, M. (2017). Robot Programming Through Whole-Body Interaction. In: Oliveira, E., Gama, J., Vale, Z., Lopes Cardoso, H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science(), vol 10423. Springer, Cham. https://doi.org/10.1007/978-3-319-65340-2_13
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DOI: https://doi.org/10.1007/978-3-319-65340-2_13
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