COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children

Md Shahriare Satu; K. Shayekh Ebne Mizan; Syeda Anika Jerin; Md Whaiduzzaman; Alistair Barros; Kawsar Ahmed; Mohammad Ali Moni

doi:10.1007/978-3-030-82269-9_25

COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children

Md Shahriare Satu, K. Shayekh Ebne Mizan, Syeda Anika Jerin, Md Whaiduzzaman, Alistair Barros, Kawsar Ahmed, Mohammad Ali Moni

Artificial Intelligence and Cyber Futures Institute

Research output: Book chapter/Published conference paper › Conference paper › peer-review

11 Citations (Scopus)

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.

Original language	English
Title of host publication	Applied Intelligence and Informatics
Subtitle of host publication	First International Conference, AII 2021, Proceedings
Editors	Mufti Mahmud, M. Shamim Kaiser, Nikola Kasabov, Khan Iftekharuddin, Ning Zhong
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	321-335
Number of pages	15
ISBN (Electronic)	9783030822699
ISBN (Print)	9783030822682
DOIs	https://doi.org/10.1007/978-3-030-82269-9_25
Publication status	Published - 2021
Event	1st International Conference on Applied Intelligence and Informatics, AII 2021 - Virtual, Online Duration: 30 Jul 2021 → 31 Jul 2021 https://link-springer-com.ezproxy.csu.edu.au/book/10.1007/978-3-030-82269-9 (Proceedings) https://link-springer-com.ezproxy.csu.edu.au/content/pdf/bfm:978-3-030-82269-9/1 (Front matter)

Publication series

Name	Communications in Computer and Information Science
Volume	1435
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Conference on Applied Intelligence and Informatics, AII 2021
Abbreviated title	Fostering the Reproducibility of Scientific Results
Period	30/07/21 → 31/07/21
Other	The 2021 International Conference on Applied Intelligence and Informatics (AII 2021) brought together researchers and practitioners from diverse domains to share cutting-edge research results obtained through the application of intelligence and/or informatics to solve problems that it otherwise would not have been possible to solve. AII 2021 also fostered the exchange and dissemination of innovative and methodologies and the practical development of technologies with real-life applications.
Internet address	https://link-springer-com.ezproxy.csu.edu.au/book/10.1007/978-3-030-82269-9 (Proceedings) https://link-springer-com.ezproxy.csu.edu.au/content/pdf/bfm:978-3-030-82269-9/1 (Front matter)

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10.1007/978-3-030-82269-9_25

Cite this

Satu, M. S., Mizan, K. S. E., Jerin, S. A., Whaiduzzaman, M., Barros, A., Ahmed, K., & Moni, M. A. (2021). COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children. In M. Mahmud, M. S. Kaiser, N. Kasabov, K. Iftekharuddin, & N. Zhong (Eds.), Applied Intelligence and Informatics: First International Conference, AII 2021, Proceedings (pp. 321-335). (Communications in Computer and Information Science; Vol. 1435). Springer. https://doi.org/10.1007/978-3-030-82269-9_25

Satu, Md Shahriare ; Mizan, K. Shayekh Ebne ; Jerin, Syeda Anika et al. / COVID-Hero : Machine learning based COVID-19 awareness enhancement mobile game for children. Applied Intelligence and Informatics: First International Conference, AII 2021, Proceedings. editor / Mufti Mahmud ; M. Shamim Kaiser ; Nikola Kasabov ; Khan Iftekharuddin ; Ning Zhong. Cham, Switzerland : Springer, 2021. pp. 321-335 (Communications in Computer and Information Science).

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title = "COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children",

abstract = "In this pandemic, children are affected heavily by lockdown and quarantine worldwide. Hence, children{\textquoteright}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{\textquoteright}s COVID-19 awareness and tolerable behavior in this pandemic.",

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author = "Satu, {Md Shahriare} and Mizan, {K. Shayekh Ebne} and Jerin, {Syeda Anika} and Md Whaiduzzaman and Alistair Barros and Kawsar Ahmed and Moni, {Mohammad Ali}",

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booktitle = "Applied Intelligence and Informatics",

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note = "1st International Conference on Applied Intelligence and Informatics, AII 2021, Fostering the Reproducibility of Scientific Results ; Conference date: 30-07-2021 Through 31-07-2021",

url = "https://link-springer-com.ezproxy.csu.edu.au/book/10.1007/978-3-030-82269-9, https://link-springer-com.ezproxy.csu.edu.au/content/pdf/bfm:978-3-030-82269-9/1",

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Satu, MS, Mizan, KSE, Jerin, SA, Whaiduzzaman, M, Barros, A, Ahmed, K & Moni, MA 2021, COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children. in M Mahmud, MS Kaiser, N Kasabov, K Iftekharuddin & N Zhong (eds), Applied Intelligence and Informatics: First International Conference, AII 2021, Proceedings. Communications in Computer and Information Science, vol. 1435, Springer, Cham, Switzerland, pp. 321-335, 1st International Conference on Applied Intelligence and Informatics, AII 2021, 30/07/21. https://doi.org/10.1007/978-3-030-82269-9_25

COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children. / Satu, Md Shahriare; Mizan, K. Shayekh Ebne; Jerin, Syeda Anika et al.
Applied Intelligence and Informatics: First International Conference, AII 2021, Proceedings. ed. / Mufti Mahmud; M. Shamim Kaiser; Nikola Kasabov; Khan Iftekharuddin; Ning Zhong. Cham, Switzerland: Springer, 2021. p. 321-335 (Communications in Computer and Information Science; Vol. 1435).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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T1 - COVID-Hero

T2 - 1st International Conference on Applied Intelligence and Informatics, AII 2021

AU - Satu, Md Shahriare

AU - Mizan, K. Shayekh Ebne

AU - Jerin, Syeda Anika

AU - Whaiduzzaman, Md

AU - Barros, Alistair

AU - Ahmed, Kawsar

AU - Moni, Mohammad Ali

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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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KW - Features

KW - Machine learning

KW - Regression models

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U2 - 10.1007/978-3-030-82269-9_25

DO - 10.1007/978-3-030-82269-9_25

M3 - Conference paper

AN - SCOPUS:85113446347

SN - 9783030822682

T3 - Communications in Computer and Information Science

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EP - 335

BT - Applied Intelligence and Informatics

A2 - Mahmud, Mufti

A2 - Kaiser, M. Shamim

A2 - Kasabov, Nikola

A2 - Iftekharuddin, Khan

A2 - Zhong, Ning

PB - Springer

CY - Cham, Switzerland

Y2 - 30 July 2021 through 31 July 2021

ER -

Satu MS, Mizan KSE, Jerin SA, Whaiduzzaman M, Barros A, Ahmed K et al. COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children. In Mahmud M, Kaiser MS, Kasabov N, Iftekharuddin K, Zhong N, editors, Applied Intelligence and Informatics: First International Conference, AII 2021, Proceedings. Cham, Switzerland: Springer. 2021. p. 321-335. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-82269-9_25

COVID-Hero: Machine learning based COVID-19 awareness enhancement mobile game for children

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