WEB OF SCIENCE
SCOPUS
| DC Field | Value | Language |
|---|---|---|
| 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 | - |
Department of Electrical Engineering and Computer Science