Towards Player Health Analytics in Overwatch

Glass, J; Mcgregor, C

Towards Player Health Analytics in Overwatch

Glass, J Mcgregor, C

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE 8th International Conference on Serious Games and Applications for Health, SeGAH 2020, 2020, 00, pp. 1-5
Issue Date:: 2020-08-01

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Field	Value	Language
dc.contributor.author	Glass, J
dc.contributor.author	Mcgregor, C
dc.date	2020-08-12
dc.date.accessioned	2021-01-09T21:03:22Z
dc.date.available	2021-01-09T21:03:22Z
dc.date.issued	2020-08-01
dc.identifier.citation	2020 IEEE 8th International Conference on Serious Games and Applications for Health, SeGAH 2020, 2020, 00, pp. 1-5
dc.identifier.isbn	9781728190426
dc.identifier.uri	http://hdl.handle.net/10453/145234
dc.description.abstract	© 2020 IEEE. Overwatch is a competitive, team-based first-person shooter game, with a professional eSports league supporting competitive play. Player mental health has been an issue in eSports, and in Overwatch multiple players have quit playing professionally and cited mental health concerns. Player physiology during gameplay presents an opportunity to understand stressors during gameplay that may affect individual performance and health. This paper presents the collection of physiological data from Overwatch players and overlays it with data from the video game. This method, demonstrated in a pilot study could be used to learn more about how in game events affect player mental health, and lead to the development of resilience building approaches for eSports athletes.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE 8th International Conference on Serious Games and Applications for Health, SeGAH 2020
dc.relation.ispartof	2020 IEEE 8th International Conference on Serious Games and Applications for Health(SeGAH)
dc.relation.isbasedon	10.1109/SeGAH49190.2020.9201733
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Towards Player Health Analytics in Overwatch
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-09-22T00:00:00+1000Z
dc.date.updated	2021-01-09T21:03:02Z
pubs.finish-date	2020-08-14
pubs.publication-status	Published
pubs.start-date	2020-08-12
pubs.volume	00

Abstract:

© 2020 IEEE. Overwatch is a competitive, team-based first-person shooter game, with a professional eSports league supporting competitive play. Player mental health has been an issue in eSports, and in Overwatch multiple players have quit playing professionally and cited mental health concerns. Player physiology during gameplay presents an opportunity to understand stressors during gameplay that may affect individual performance and health. This paper presents the collection of physiological data from Overwatch players and overlays it with data from the video game. This method, demonstrated in a pilot study could be used to learn more about how in game events affect player mental health, and lead to the development of resilience building approaches for eSports athletes.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/145234