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Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload
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Title
Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload
Issued Date
2024-05-14
Citation
Kang, Donghyeon. (2024-05-14). Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload. ACM Conference on Human Factors in Computing Systems, 1–18. doi: 10.1145/3613904.3642797
Type
Conference Paper
ISBN
9798400703300
Abstract
Computer mice are widely used today as the primary input device in competitive video games. If a player exhibits more wrist rotation than other players when moving the mouse laterally, the player is said to have stronger wrist-aiming habits. Despite strong public interest, there has been no affordable technique to quantify the extent of a player's wrist-aiming habits and no scientific investigation into how the habits affect player performance and workload. We present a reliable and affordable technique to quantify the extent of a player's wrist-aiming habits using a mouse equipped with two optical sensors (i.e., a dual-sensor mouse). In two user studies, we demonstrate the reliability of the technique and examine the relationship between wrist-aiming habits and player performance or workload. In summary, player expertise and mouse sensitivity significantly impacted wrist-aiming habits; the extent of wrist-aiming showed a positive correlation with upper limb workload. © 2024 Copyright held by the owner/author(s)
URI
http://hdl.handle.net/20.500.11750/57544
DOI
10.1145/3613904.3642797
Publisher
Association for Computing Machinery
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김선준
Kim, Sunjun김선준

Department of Electrical Engineering and Computer Science

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