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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kang, Donghyeon | - |
| dc.contributor.author | Kim, Namsub | - |
| dc.contributor.author | Kang, Daekaun | - |
| dc.contributor.author | Yoon, June-Seop | - |
| dc.contributor.author | Kim, Sunjun | - |
| dc.contributor.author | Lee, Byungjoo | - |
| dc.date.accessioned | 2025-01-20T17:10:15Z | - |
| dc.date.available | 2025-01-20T17:10:15Z | - |
| dc.date.created | 2024-06-14 | - |
| dc.date.issued | 2024-05-14 | - |
| dc.identifier.isbn | 9798400703300 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.11750/57544 | - |
| dc.description.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) | - |
| dc.language | English | - |
| dc.publisher | Association for Computing Machinery | - |
| dc.relation.ispartof | CHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems | - |
| dc.title | Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload | - |
| dc.type | Conference Paper | - |
| dc.identifier.doi | 10.1145/3613904.3642797 | - |
| dc.identifier.wosid | 001266059701052 | - |
| dc.identifier.scopusid | 2-s2.0-85194813222 | - |
| dc.identifier.bibliographicCitation | 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 | - |
| dc.identifier.url | https://programs.sigchi.org/chi/2024/program/content/146862 | - |
| dc.citation.conferenceDate | 2024-05-11 | - |
| dc.citation.conferencePlace | US | - |
| dc.citation.conferencePlace | Honolulu | - |
| dc.citation.endPage | 18 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.title | ACM Conference on Human Factors in Computing Systems | - |
Department of Electrical Engineering and Computer Science