KovaaK's aim trainer as a reliable metrics platform for assessing shooting proficiency in esports players: a pilot study

Esports research lacks game-based metrics platforms appropriate for adequately capturing esports performance. The aim of this pilot study was to assess the reliability of the KovaaK's first-person shooter (FPS) aim trainer as a metrics platform for assessing shooting proficiency in esports players. Ten FPS esports players completed two identical experimental trials (T) separated by three to five days. Each trial included four rounds (R) of testing, evaluating four shooting tasks: Micro Flicking, Macro Flicking, Strafe Tracking, and Wall Peeking. Reliability of performance outcomes (e.g., accuracy, headshot accuracy, hits per second, and total shots hit) were assessed using the intraclass correlation coefficient (ICC) and their 95% confidence intervals (CI), and significant differences were identified using repeated-measures analysis of variance (RM-ANOVA). Results indicated excellent, or good to excellent reliability for all outcome variables with the ICC estimates ranging between 0.947-0.995, with lower and upper bound 95% CIs ranging between 0.876-0.988, and 0.984-0.999, respectively. Significant improvements were seen between experimental trials in the Macro Flicking task for accuracy (p = .005) and hits per second (p = .009) only. Significant interactions between trial and round were identified in the Micro Flicking task for accuracy (p = .006), with post hoc analysis showing accuracy was significantly higher in T1R1 compared to T2R1 (87.74 ± 3.13 vs. 85.99 ± 3.05, respectively, p = .02), and in T2R4 compared to T2R2 (87.99 ± 2.89 vs. 84.70 ± 4.25, respectively, p = .049). Significant interactions were also identified in the Strafe Tracking task for headshot accuracy (p = .002), with post hoc analysis showing headshot accuracy was significantly higher in T1R2 compared to T2R2 (78.48 ± 8.15 vs. 76.79 ± 12.16, respectively, p = .003), and in T1R2 compared to T1R1 (78.48 ± 8.15 vs. 73.68 ± 17.94, respectively, p = .023). In summary, this study demonstrates that KovaaK's provides a reliable metrics platform for assessing shooting proficiency in esports, however, some variability in performance was observed.

"Boom, Headshot!": Violent first-person shooter (FPS) video games that reward headshots train individuals to aim for the head when shooting a realistic firearm

When shooting a gun at a human target, firearms training instructors teach individuals to shoot for the upper torso because it is the largest lethal target on the human body. In contrast, violent first-person shooter (FPS) video games reward players for headshots. The head is the smallest lethal target, and requires careful aim to hit. In this experiment, participants were randomly assigned to play a violent FPS game with humanoid targets that rewarded headshots, a nonviolent shooting game that punished hits to bull's-eye targets with faces, or a nonviolent non-shooting game. After gameplay, participants shot 16 "bullets" from a realistic gun at a life-sized human-shaped mannequin. Participants were told to hit the mannequin with as many bullets as possible, but they were not told where to aim. Consistent with operant conditioning theory, participants who played a violent FPS game that rewarded headshots had the most hits to the mannequin's head. Participants whose favorite video games were violent shooting games also had the most hits to the mannequin's head. These findings suggest that FPS games that reward headshots can influence people to aim for the head with a realistic gun after the game is turned off, even though the head is a much smaller target to hit and they are much less likely to hit another body part if they miss. FPS games are often used to train soldiers and police officers, but these findings suggest that such games might train individuals to hit the wrong part of the body.