Abstract
A reasonable and healthy playground is an important guarantee for children to develop cognition through physical games. [] However, due to the influence of early childhood psychology and the popularity of stereotypes, the existing industrialized production of children’s play space has been defined and designed from the perspective of adults. With the help of interdisciplinary thinking and tools, based on the theory of child psychology and the circular game system, we propose a new method of children’s playground design. At first, we reviewed the fallacies of the past children’s playground design and their causes and summarized the elements of ideal children’s playground construction. Secondly, we introduced the Physarum polycephalum algorithm and brought this algorithm to the path generation of different terrains and environments. Third, we analyze the path and introduce the amoeba bionic algorithm tool to determine the facilities, and then generate a series of play facilities. Finally, we brought this result into the case and discussed its potential applications in interactive design.
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References
Unal, M.: The place and importance of playgrounds in child development. Inonu Univ. J. Fac. Educ. (INUJFE) 10(2), 95–98 (2009)
Ingunn, F., Jostein, S.: The natural environment as a playground for children: landscape description and analyses of a natural playscape. Landsc. Urban Plan. 48(1–2), 83–97 (2000)
Farley, T.A., Meriwether, R.A., Baker, E.T., Rice, J.C., Webber, L.S.: Where do the children play? The influence of playground equipment on physical activity of children in free play. J. Phys. Act Health 5(2), 319–331 (2008)
Malone, K., Tranter, P.: Children’s environmental learning and the use, design and management of schoolgrounds. Child. Youth Environ. 13(2) (2003)
Senda, M.: Design of Children’s Play Environments. McGraw-Hill, New York (1992)
Nakagaki, T., Yamada, H., Tóth, Á.: Maze-solving by an amoeboid organism. Nature 407, 470 (2000)
Tero, A., et al.: Rules for biologically inspired adaptive network design. Science 439(42), 439 (2010)
Xie, Y.M., Steven, G.P.: A simple evolutionary procedure for structural optimization. Comput. Struct. 49(5), 885–896 (1993)
Chen, W., Shidujaman, M., Jin, J., Ahmed, S.U.: A methodological approach to create interactive art in artificial intelligence. In: Stephanidis, C., et al. (eds.) HCI International 2020 – Late Breaking Papers: Cognition, Learning and Games. HCII 2020. LNCS, vol. 12425, pp.13–31. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-60128-7_2
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Yue, F., Tian, W., Shidujaman, M. (2021). A Design Method of Children Playground Based on Bionic Algorithm. In: Kurosu, M. (eds) Human-Computer Interaction. Design and User Experience Case Studies. HCII 2021. Lecture Notes in Computer Science(), vol 12764. Springer, Cham. https://doi.org/10.1007/978-3-030-78468-3_12
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DOI: https://doi.org/10.1007/978-3-030-78468-3_12
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