Great article on the use of augmented feedback when implemented with a VBT. Augmented feedback is at the core of all Perform Better’s sport science products and it’s clear in this research of the power this has on performance. Augmented feedback within this study provided an increase in performance for both audio and visual feedback versus no feedback, this falls in line with previous studies that suggest an enhancement of performance when using a feedback method.
The purpose of this study was to compare the benefits of 4-weeks of velocity-based training (VBT) using different augmented feedback (AugFb) types and the frequency of AugFb, and whether adaptations are retained 10 days post-training. Thirty-seven collegiate male rugby players were divided into groups that received immediate-feedback (ImFb; n=9), visual-feedback (ViFb; n=10), average-feedback (AvgFb; n=10) and no-feedback (NoFb; n=8) during each VBT session consisting of 3 sets of 5 repetitions of loaded jump squats. The ImFb group received AugFb regarding lifting velocity under loaded jump squats (LV-JS) following every jump, whereas LV-JS measures were averaged following each set of jumps and presented to the AvgFb group. The loaded jump squats were video-recorded and displayed as kinematic feedback for the ViFb group following each set, although no feedback was provided for the NoFb group. LV-JS measures were reported at baseline, during each training session and 10-days post training. LV-JS measures were significantly greater for the ImFb Group compared to the other groups during a number of post-baseline time points (P<0.05). Furthermore, at 4-weeks of VBT and 10 days post-retention, effect size (ES) calculations showed that LV-JS measures were greater with moderate to large effects for the ImFb group compared to the NoFb (ES=1.02-1.25), AvgFb (ES=0.78-0.82) and ViFb (ES=0.74-1.60), respectively. However, LV-JS measures were reduced with moderate to large effects 10 days post-retention for the ViFb (ES=-0.60) and NoFb (ES=-0.85) groups. Providing LV-JS feedback following each jump appears to optimize performance and should be considered as a training tool during VBT.