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Effects of 3D Multiple-Object Tracking on Off-the-Block Reaction Time in University of Victoria Varsity Swimmers: A Pilot Study.

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High-level swimming is one of the most competitive sports in the world. Often less than one second separates first through last place, and

commonly races are won in just hundredths of seconds. Along with

physical training, cognitive training is also used in order to gain an edge over the competition. Three-dimensional multiple object tracking

(3D-MOT) has been used to enhance attention and decision making capabilities in visually dominated sports (e.g. soccer, basketball), but has been

relatively unstudied in regards to non-visually dominated sports (e.g.

swimming). Training one attentional modality has been shown to improve attention in other modalities, and in this way 3D-MOT may be able to

enhance performance in non-visually dominated sports.

INTRODUCTION

OBJECTIVES

Participants

•  15 University of Victoria varsity swimmers aged 18 – 25 (M = 20.3)

•  9 males, 6 females

Inclusion criteria

•  A member of the University of Victoria Swim Team

•  Aged between 18 – 25 years

Exclusion criteria

•  Sustained concussion or head injury during the study period

•  Colour blindness

•  Presence of any injuries that may prevent the diving movement,

including knee, shoulder and ankle injuries Apparatus

Neurotracker

•  3D-multiple object tracking training software

Figure 2. Stages of a Neurotracker trial. There are 20 trials per session, and three sessions per appointment. Each appointment takes approximately 21 minutes.

Ares Omega Timing System

•  Aquatic timing system to record off-the-block reaction time

Figure 3. Ares-Omega Timing System. The starting equipment, starting blocks and the control room were used in this study.

Procedure

•  First off-the-block reaction time collection session: A series of three

reaction times was taken for each participant and control to establish a baseline

•  Appointment 1: Establish a baseline assessment on the ruler task and the

Neurotracker for the participant group

•  Appointment 2-9: Participant group completed 8 3D-MOT training

sessions on the Neurotracker

•  Appointment 10: Repeat administration of the ruler task and final

session of Neurotracker training for the participant group

•  Second off-the-block reaction time collection session: A second series of

three reaction times was taken for each participant and control (7 weeks later)

METHODS

Participant group:

Following Neurotracker training, average off-the-block reaction time had significantly improved (M = 0.0813 seconds, SD = 0.0428, p = 0.00072) in the participant group.

Figure 3. Changes in off-the-block reaction time in the participant group before and after 10 sessions of Neurotracker training sessions.

Control group:

Average off-the-block reaction time significantly improved (M = 0.034 seconds, SD = 0.0171, p < 0.01, p = 0.0039) during the study period.

Figure 4. Changes in off-the-block reaction time in the control group between session 1 and session 2.

Difference:

The participant group improved their off-the-block reaction times significantly more than the control group (M = 0.0469, p = 0.00059).

Figure 5. Comparison between changes in off-the-block reaction time in the control group and participant group. Individual average reaction times are shown.

RESULTS

CONCLUSIONS

This study demonstrated significant improvements in off-the-block

reaction time after 10 Sessions of 3D-MOT training, suggesting that the Neurotracker program may be an effective cognitive training tool for high-level swimmers. These results are consistent with other research that has demonstrated attentional improvements following Neurotracker training (Parsons et al., 2014), as well as enhanced performance in sport (Mangine

et al., 2014; Romeas, Guldner & Faubert, 2016). Enhancements in

off-the-block reaction time (auditory attention task) after 3D-MOT training (visual attention task) are consistent with research on attention resource pools

(Wickens, 2008).

As this was a pilot study, replication with a larger sample size is needed to ensure validity and reliability of the results. Future research should

investigate whether the benefits of 3D-MOT to this population extend past the current study’s period. This research also opens the door to using 3D-MOT training as a cognitive training tool for other non-visually dominated sports (e.g. rowing, cycling, running).

REFERENCES

Mangine, G. T., Hoffman, J. R., Wells, A. J., Gonzalez, A. M., Rogowski, J. P., Townsend, J. R., Jajtner, A. R., Beyer, K. S., Bohner, J. D., Pruna G. J. & Fragala, M. S. (2014). Visual tracking speed is related to basketball-specific measures of performance in NBA players. The Journal of Strength

& Conditioning Research, 28(9), 2406-2414.

Parsons, B., Magill, T., Boucher, A., Zhang, M., Zogbo, K., Bérubé, S., Scheffer, O., Beauregard, M., & Faubert, J. (2014). Enhancing cognitive function using perceptual-cognitive training. Clinical EEG and

neuroscience, 47(1), 37-47.

Riewald, S., & Rodeo, S. (2015). The science of swimming faster. Champagne, IL: Human Kinetics.

Rio 2016 Swimming. (2017, June 02). Retrieved from https:// www.olympic.org/rio-2016/swimming

Swiss Timing. (2018). Services for Swimming [Digital image]. Retrieved January 21, 2019, from https://www.swisstiming.com/terms/

Wickens, C. D. (2008). Multiple resources and mental workload. Human

factors, 50(3), 449-455.

2018 NCAA Division 1 Men’s Swimming and Diving. (2018, March 22). Retrieved from http://www.swmeets.com/Realtime/NCAA/2018/

ACKNOWLEDGEMENTS

The researchers would like to thank the coaches and athletes of the University of Victoria Vikes Swim Team for their overwhelming

participation in this research study. This work was supported by the

University of Victoria Department of Medical Sciences. This research was funded by a Jamie Cassels Undergraduate Research Award to T.M.S.R.

This study examined if training visual selective attention on the

Neurotracker (a 3D-MOT training tool) had an effect on off-the-block reaction times of varsity swimmers at the University of Victoria. This study was performed using participants (n = 15), aged 18-25 years old, who had completed a total of ten 3D-MOT training sessions over a

five-week period. Participants completed ten sessions of Neurotracker training, and off-the-block reaction times were measured before and after training. Off-the-block reaction time was considered an auditory selective attention task, and is defined as the time between the start gun firing and the

swimmer’s front foot leaving the blocks.

While improvements of a mere few hundredths of a second may not seem game changing, in high-performance swimming it can be the difference between winning and losing.

•  At the Rio 2016 Olympics, a difference of just 0.1 seconds would have

caused 30 medals to change hands

•  Between the 1972 and 2004 Olympic Sprinting events (50 m – 200 m), a

total of 65 Olympic medals would have exchanged hands

•  At the 2018 Men’s NCAA Division 1 Championships 50 m freestyle

finals, with the exception of first place, which was a world record performance, only 0.53 seconds separated second through last place

Figure 1. Stages of a swim start. The swimmer starts in position A. Upon hearing the start signal the swimmer progresses through the stages to stage D, and then water entry. Off-the-block reaction time is considered the time between the starting signal, and the swimmer’s

front foot leaving the blocks (stage B).

T.M. Snowden-Richardson and B.R. Christie

Effects of 3D multiple-object tracking on off-the-block reaction time in

University of Victoria varsity swimmers: A pilot study.

0.6 0.64 0.68 0.72 0.76 Pre-Intervension Post-Intervension O ff -t he -B lo ck Re ac tio n Ti m e (s ) Session 0.5 0.55 0.6 0.65 0.7 0.75 Session 1 Session 2 O ff -t he -B lo ck Re ac tio n Ti m e (s ) Session 0.56 0.61 0.66 0.71 0.76 Contols Participants Re ac tio n Ti m e (s ) Group Before After

HIGH-PERFORMANCE SWIMMING

Presentation Indexation Movement Identification Feedback

Department of Medical Sciences, University of Victoria, British Columbia, Canada

A

B

C

D

Taylor Snowden-Richardson, Department of Medical Sciences February 26, 2019

This research was supported by the Jamie Cassels Undergraduate Research Award, University of Victoria

Supervised by Dr. Brian Christie, Department of Medical Sciences

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