Abstract
In frst-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 scientifc verifcation 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 Ofensive. 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 sufcient evidence.
Original language | English |
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Title of host publication | CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | Making Waves, Combining Strengths |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450380966 |
DOIs | |
State | Published - 6 May 2021 |
Event | 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 - Virtual, Online, Japan Duration: 8 May 2021 → 13 May 2021 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths, CHI 2021 |
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Country/Territory | Japan |
City | Virtual, Online |
Period | 8/05/21 → 13/05/21 |
Bibliographical note
Publisher Copyright:© 2021 ACM.
Keywords
- Datasets
- E-sports
- Frst person shooters
- Games
- Performance metrics