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The Interaction Design of AR Game Based on Hook Model for Children's Environmental Habit Formation

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HCI International 2021 - Late Breaking Posters (HCII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1498))

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Abstract

Human beings are facing the crisis of deteriorating ecological environment. To strengthen the cultivation of children's environmental awareness and make them develop the habit of environmental protection life are important parts of ecological environment improvement and protection.

This study investigate and analyze the current situation of children's environmental awareness education which had found that the limitations of it is the main reason why it’s so difficult for children to form environmental awareness and habits. The purpose of this study is to conduct an interactive design which based on AR technology, to enhance children's environmental protection awareness, to further enable them to form eco-friendly habits in their daily lives. Based on Hook model, the study designs an AR game mechanics by considering children's psychological characteristics so as to trigger children take actions. The design of game interaction mode adopts the Hook model. This study attempts to build an ecosphere management model in the game and the main interaction mode of the game is that players can use AR scanning function based on image recognition technology to obtain virtual models of plants and animals to build their own unique ecosphere. Players can experience the actions of cognizing and managing their own ecosystem.

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Xie, Q., Yu, W. (2021). The Interaction Design of AR Game Based on Hook Model for Children's Environmental Habit Formation. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1498. Springer, Cham. https://doi.org/10.1007/978-3-030-90176-9_61

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  • DOI: https://doi.org/10.1007/978-3-030-90176-9_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90175-2

  • Online ISBN: 978-3-030-90176-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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