Quantifying Wrist-Aiming Habits with A Dual-Sensor Mouse: Implications for Player Performance and Workload
Donghyeon Kang, Namsub Kim, Daekaun Kang, June-Seop Yoon, Sunjun Kim, Byungjoo Lee
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.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Cited by top-tier papers1
Ask how each one uses itRelated papers
- Secrets of Gosu: Understanding Physical Combat Skills of Professional Players in First-Person ShootersEunji Park, Sangyoon Lee, Auejin Ham, Minyeop Choi et al.CHI 2021 · 25 citations
- Effects of Computer Mouse Lift-off Distance Settings in Mouse Lifting ActionMunjeong Kim, Sunjun KimUIST 2024
- Optimal Sensor Position for a Computer MouseSunjun Kim, Byungjoo Lee, Thomas Van Gemert, Antti OulasvirtaCHI 2020 · 34 citations
- Characterizing and Quantifying Expert Input Behavior in League of LegendsHanbyeol Lee, Seyeon Lee, Rohan Nallapati, Youngjung Uh et al.CHI 2024 · 11 citations
- Scaled Mouse: An Efficient and Accurate Interaction Technique for 3D Docking in Seated VRXinpeng Liu, Di Bill Zhao, Wolfgang StuerzlingerIEEE VR 2026
