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Secrets of Gosu: Understanding Physical Combat Skills of Professional Players in First-Person Shooters
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dc.contributor.author Park, Eunji -
dc.contributor.author Lee, Sangyoon -
dc.contributor.author Ham, Auejin -
dc.contributor.author Choi, Minyeop -
dc.contributor.author Kim, Sunjun -
dc.contributor.author Lee, Byungjoo -
dc.date.accessioned 2023-12-26T18:44:27Z -
dc.date.available 2023-12-26T18:44:27Z -
dc.date.created 2021-12-08 -
dc.date.issued 2021-05-10 -
dc.identifier.isbn 9781450380966 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46934 -
dc.description.abstract In first-person shooters (FPS), professional players (a.k.a., Gosu) outperform amateur players. The secrets behind the performance of professional FPS players have been debated in online communities with many conjectures; however, attempts of scientific verification have been limited. We addressed this conundrum through a data-collection study of the gameplay of eight professional and eight amateur players in the commercial FPS Counter-Strike: Global Offensive. The collected data cover behavioral data from six sensors (motion capture, eye tracker, mouse, keyboard, electromyography armband, and pulse sensor) and in-game data (player data and event logs). We examined conjectures in four categories: aiming, character movement, physicality, and device and settings. Only 6 out of 13 conjectures were supported with statistically sufficient evidence. -
dc.language English -
dc.publisher Association for Computing Machinery -
dc.title Secrets of Gosu: Understanding Physical Combat Skills of Professional Players in First-Person Shooters -
dc.type Conference Paper -
dc.identifier.doi 10.1145/3411764.3445217 -
dc.identifier.scopusid 2-s2.0-85106671155 -
dc.identifier.bibliographicCitation Park, Eunji. (2021-05-10). Secrets of Gosu: Understanding Physical Combat Skills of Professional Players in First-Person Shooters. ACM Conference on Human Factors in Computing Systems, 1–14. doi: 10.1145/3411764.3445217 -
dc.identifier.url https://programs.sigchi.org/chi/2021/program/content/47358 -
dc.citation.conferencePlace JA -
dc.citation.conferencePlace Yokohama -
dc.citation.endPage 14 -
dc.citation.startPage 1 -
dc.citation.title ACM Conference on Human Factors in Computing Systems -
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