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COVID-Hero: Machine Learning Based COVID-19 Awareness Enhancement Mobile Game for Children

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Applied Intelligence and Informatics (AII 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1435))

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Abstract

In this pandemic, children are affected heavily by lockdown and quarantine worldwide. Hence, children’s awareness of COVID-19 and passing a joyful time at home are necessary for their mental health. In this work, we developed a mobile gaming app named COVID-Hero, which intends to learn and create awareness among children about COVID-19. Using this app, they obtain scores/points by grabbing the right objects from their superhero-shaped player, which are fun, attractive, and psychologically helpful during this pandemic. However, we designed a questionnaire and conducted a user survey of different aged people who gave their opinions about this game. Finally, numerous significant features were extracted and prioritized using machine learning regression models that enhance children’s COVID-19 awareness and tolerable behavior in this pandemic.

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Acknowledgements

The authors acknowledge that this research is partially supported through the Australian Research Council Discovery Project: DP190100-314, “Re-Engineering Enterprise Systems for Microservices in the Cloud”.

Author information

Authors and Affiliations

  1. Department of Management Information Systems, Noakhali Science and Technology University, Sonapur, Noakhali, 3814, Bangladesh

    Md. Shahriare Satu

  2. Institute of Information Technology, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh

    K. Shayekh Ebne Mizan, Syeda Anika Jerin & Md Whaiduzzaman

  3. School of Information Systems, Queensland University of Technology, Brisbane, Australia

    Md Whaiduzzaman & Alistair Barros

  4. Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail, 1902, Bangladesh

    Kawsar Ahmed

  5. WHO Collaborating Centre on eHealth, UNSW Digital Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, 2052, Australia

    Mohammad Ali Moni

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  1. Md. Shahriare Satu
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  2. K. Shayekh Ebne Mizan
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  3. Syeda Anika Jerin
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  4. Md Whaiduzzaman
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  6. Kawsar Ahmed
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  7. Mohammad Ali Moni
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Corresponding author

Correspondence to Md. Shahriare Satu .

Editor information

Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. Jahangirnagar University, Savar, Dhaka, Bangladesh

    M. Shamim Kaiser

  3. Auckland University of Technology, Auckland, New Zealand

    Nikola Kasabov

  4. Old Dominion University, Norfolk, VA, USA

    Khan Iftekharuddin

  5. Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Satu, M.S. et al. (2021). COVID-Hero: Machine Learning Based COVID-19 Awareness Enhancement Mobile Game for Children. In: Mahmud, M., Kaiser, M.S., Kasabov, N., Iftekharuddin, K., Zhong, N. (eds) Applied Intelligence and Informatics. AII 2021. Communications in Computer and Information Science, vol 1435. Springer, Cham. https://doi.org/10.1007/978-3-030-82269-9_25

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  • DOI: https://doi.org/10.1007/978-3-030-82269-9_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-82268-2

  • Online ISBN: 978-3-030-82269-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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