» Articles » PMID: 37564360

Kinematic Markers of Skill in First-person Shooter Video Games

Overview
Journal PNAS Nexus
Specialty General Medicine
Date 2023 Aug 11
PMID 37564360
Authors
Affiliations
Soon will be listed here.
Abstract

Video games present a unique opportunity to study motor skill. First-person shooter (FPS) games have particular utility because they require visually guided hand movements that are similar to widely studied planar reaching tasks. However, there is a need to ensure the tasks are equivalent if FPS games are to yield their potential as a powerful scientific tool for investigating sensorimotor control. Specifically, research is needed to ensure that differences in visual feedback of a movement do not affect motor learning between the two contexts. In traditional tasks, a movement will translate a cursor across a static background, whereas FPS games use movements to pan and tilt the view of the environment. To this end, we designed an online experiment where participants used their mouse or trackpad to shoot targets in both visual contexts. Kinematic analysis showed player movements were nearly identical between contexts, with highly correlated spatial and temporal metrics. This similarity suggests a shared internal model based on comparing predicted and observed displacement vectors rather than primary sensory feedback. A second experiment, modeled on FPS-style aim-trainer games, found movements exhibited classic invariant features described within the sensorimotor literature. We found the spatial metrics tested were significant predictors of overall task performance. More broadly, these results show that FPS games offer a novel, engaging, and compelling environment to study sensorimotor skill, providing the same precise kinematic metrics as traditional planar reaching tasks.

Citing Articles

Input device matters for measures of behaviour in online experiments.

Warburton M, Campagnoli C, Mon-Williams M, Mushtaq F, Morehead J Psychol Res. 2024; 89(1):29.

PMID: 39607544 PMC: 11604694. DOI: 10.1007/s00426-024-02065-1.


Motor adaptation is reduced by symbolic compared to sensory feedback.

Chen Y, Abram S, Ivry R, Tsay J bioRxiv. 2024; .

PMID: 39005305 PMC: 11244888. DOI: 10.1101/2024.06.28.601293.

References
1.
Gordon J, Ghilardi M, Ghez C . Accuracy of planar reaching movements. I. Independence of direction and extent variability. Exp Brain Res. 1994; 99(1):97-111. DOI: 10.1007/BF00241415. View

2.
Listman J, Tsay J, Kim H, Mackey W, Heeger D . Long-Term Motor Learning in the "Wild" With High Volume Video Game Data. Front Hum Neurosci. 2022; 15:777779. PMC: 8720934. DOI: 10.3389/fnhum.2021.777779. View

3.
Campbell M, Toth A, Moran A, Kowal M, Exton C . eSports: A new window on neurocognitive expertise?. Prog Brain Res. 2018; 240:161-174. DOI: 10.1016/bs.pbr.2018.09.006. View

4.
Krakauer J, Pine Z, Ghilardi M, Ghez C . Learning of visuomotor transformations for vectorial planning of reaching trajectories. J Neurosci. 2000; 20(23):8916-24. PMC: 6773094. View

5.
Donovan I, Saul M, DeSimone K, Listman J, Mackey W, Heeger D . Assessment of human expertise and movement kinematics in first-person shooter games. Front Hum Neurosci. 2022; 16:979293. PMC: 9744923. DOI: 10.3389/fnhum.2022.979293. View