Difference in gaze control ability between low and high skill players of a real-time strategy game in esports

被引:14
|
作者
Jeong, Inhyeok [1 ]
Nakagawa, Kento [2 ]
Osu, Rieko [3 ]
Kanosue, Kazuyuki [2 ]
机构
[1] Waseda Univ, Grad Sch Sport Sci, Saitama, Japan
[2] Fac Sport Sci, WasedaUnivers, Saitama, Japan
[3] Waseda Univ, Fac Human Sci, Saitama, Japan
来源
PLOS ONE | 2022年 / 17卷 / 03期
关键词
D O I
10.1371/journal.pone.0265526
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This research investigated the difference in aspects of gaze control between esports experts (Expert) and players with lower skills (Low Skill) while playing the real-time strategy game called StarCraft. Three versions of this game at different difficulty levels were made with the StarCraft Editor, and the gaze movements of seven Expert and nine Low Skill players were analyzed while they played the games. The gaze of Expert players covered a significantly larger area in the horizontal direction than the gaze of Low Skill players. Furthermore, the magnitude and number of saccadic eye movements were greater, and saccade velocity was faster in the Expert than in the Low Skill players. In conclusion, StarCraft experts have a specific gaze control ability that enables them to quickly and widely take visual information from all over the monitor. This could be one of the factors enabling StarCraft experts to perform better than players with lower skills when playing games that require task-switching ability.
引用
收藏
页数:17
相关论文
共 32 条
  • [1] High-Performance Pen plus Touch Modality Interactions: A Real-Time Strategy Game eSports Context
    Hamilton, William
    Kerne, Andruid
    Robbins, Thomas
    [J]. UIST'12: PROCEEDINGS OF THE 25TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE AND TECHNOLOGY, 2012, : 309 - 318
  • [2] Performance Evaluation Gaps in a Real-Time Strategy Game Between Human and Artificial Intelligence Players
    Kim, Man-Je
    Kim, Kyung-Joong
    Kim, Seungjun
    Dey, Anind K.
    [J]. IEEE ACCESS, 2018, 6 : 13575 - 13586
  • [3] The Shoutcasters, the Game Enthusiasts, and the AI: Foraging for Explanations of Real-time Strategy Players
    Penney, Sean
    Dodge, Jonathan
    Anderson, Andrew
    Hilderbrand, Claudia
    Simpson, Logan
    Burnett, Margaret
    [J]. ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS, 2021, 11 (01)
  • [4] Deep ensemble learning of tactics to control the main force in a real-time strategy game
    Han, Isaac
    Kim, Kyung-Joong
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (04) : 12059 - 12087
  • [5] Deep ensemble learning of tactics to control the main force in a real-time strategy game
    Isaac Han
    Kyung-Joong Kim
    [J]. Multimedia Tools and Applications, 2024, 83 : 12059 - 12087
  • [6] Supervisory control of multiple robots based on a real-time strategy game interaction paradigm
    Jones, H
    Snyder, M
    [J]. 2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE, 2002, : 383 - 388
  • [7] Associations Between Avid Action and Real-Time Strategy Game Play and Cognitive Performance: a Pilot Study
    Dale G.
    Green C.S.
    [J]. Journal of Cognitive Enhancement, 2017, 1 (3) : 295 - 317
  • [8] Real-time coordinated control strategy for the hybrid electric propulsion system of a flying car with model adaptation and game theory
    Ruan, Shumin
    Ma, Yue
    Xiang, Changle
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2024,
  • [9] Start up partial nitrification at low temperature with a real-time control strategy based on blower frequency and pH
    Gu, Shengbo
    Wang, Shuying
    Yang, Qing
    Yang, Pei
    Peng, Yongzhen
    [J]. BIORESOURCE TECHNOLOGY, 2012, 112 : 34 - 41
  • [10] Intuitive real-time control strategy for high-density myoelectric hand prosthesis using deep and transfer learning
    Tam, Simon
    Boukadoum, Mounir
    Campeau-Lecours, Alexandre
    Gosselin, Benoit
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)