TY - JOUR
T1 - A comparative analysis for eye movement characteristics between professional and non-professional players in FIFA eSports game
AU - Wang, Haoyue
AU - Yang, Jian
AU - Hu, Menghan
AU - Tang, Jingyu
AU - Yu, Wangyang
N1 - Publisher Copyright:
© 2023
PY - 2024/1
Y1 - 2024/1
N2 - Eye-tracking technology has been widely applied to various kinds of traditional sports research, such as football, basketball and table tennis. eSports is an emerging digital sport, which is currently enjoying rapid development. The previous study primarily focuses on the practical applications of eye movement in eSports, such as game design, visual attention, and performance analysis. However, there is a scientific gap for the specific differences between expert and novice players, the potential of eye-tracking as a biological marker for eSports performance, and the transfer of insights from real sports to eSports through eye-tracking studies. This study aims to uncover disparities in eye movement characteristics between professional players (N = 14, 24.1 ± 2.5 years) and non-professional players (N = 14, 25.2 ± 2.3 years) by employing the expert-novice paradigm. We extracted several key eye movement features, including average fixation counts, average fixation duration, first fixation duration, eye movement trajectory, and visits to areas of interest. The results indicate that professional players exhibit higher fixation counts, shorter first fixation duration, reduced average fixation duration, and employ a more effective visual search strategy. Professional players’ fixation trajectories are characterized by clarity and focus, with a greater number of fixation points concentrated on key areas of interest. In contrast, non-professional players demonstrate relatively random fixation trajectories, lacking distinct focal points. This study not only advances our understanding of eye-tracking in eSports but also provides technical guidance and practical significance for further research in this burgeoning field.
AB - Eye-tracking technology has been widely applied to various kinds of traditional sports research, such as football, basketball and table tennis. eSports is an emerging digital sport, which is currently enjoying rapid development. The previous study primarily focuses on the practical applications of eye movement in eSports, such as game design, visual attention, and performance analysis. However, there is a scientific gap for the specific differences between expert and novice players, the potential of eye-tracking as a biological marker for eSports performance, and the transfer of insights from real sports to eSports through eye-tracking studies. This study aims to uncover disparities in eye movement characteristics between professional players (N = 14, 24.1 ± 2.5 years) and non-professional players (N = 14, 25.2 ± 2.3 years) by employing the expert-novice paradigm. We extracted several key eye movement features, including average fixation counts, average fixation duration, first fixation duration, eye movement trajectory, and visits to areas of interest. The results indicate that professional players exhibit higher fixation counts, shorter first fixation duration, reduced average fixation duration, and employ a more effective visual search strategy. Professional players’ fixation trajectories are characterized by clarity and focus, with a greater number of fixation points concentrated on key areas of interest. In contrast, non-professional players demonstrate relatively random fixation trajectories, lacking distinct focal points. This study not only advances our understanding of eye-tracking in eSports but also provides technical guidance and practical significance for further research in this burgeoning field.
KW - Eye-tracking
KW - FIFA 21
KW - Fixation
KW - Professional-player
KW - eSports
UR - https://www.scopus.com/pages/publications/85179005344
U2 - 10.1016/j.displa.2023.102599
DO - 10.1016/j.displa.2023.102599
M3 - 文章
AN - SCOPUS:85179005344
SN - 0141-9382
VL - 81
JO - Displays
JF - Displays
M1 - 102599
ER -