Development of a video-based task to assess decision-making ability in mountain bike athletes

Document Type


Publication details

Novak, AR, Bennett, KJM, Stevens, CJ, Dascombe, BJ & Fransen, J 2016, 'Development of a video-based task to assess decision-making ability in mountain bike athletes', poster presented to Exercise & Sports Science Australia Conference: Research to Practice 2016, Melbourne, Vic., 14-16 April.


Introduction & Aims:

Research within mountain biking (MTB) has focused on identifying physiological characteristics that contribute to successful performance. Nonetheless, while it is well understood that MTB performance is multi-dimensional, no research has quantified perceptual-cognitive skill in MTB. As such, this study aimed to develop a video-based decision-making task to compare perceptual-cognitive skill between MTB athletes and those without MTB experience (non-MTB). Methods: A video based task was developed using C# language and deployed via Xcode V7.1 (Apple Inc., Cupertino, CA, USA). The task displayed 30 videos (5 familiarisation and 25 trial videos) taken from chest-mounted camera footage of a MTB athlete to 23 participants (10 experienced MTB athletes with >5 years experience, and 13 non-MTB). The final frame of each video was paused and either 2 (easy), 3 (moderate) or 4 (hard) line choice selections (LCS) were presented using touch-sensitive arrows on-screen. The participants were instructed to touch the arrow indicating the fastest line. Response accuracy (RA) and response time (RT) were recorded. Results: Repeated measures MANOVA was used to identify between-subject (MTB vs. non-MTB) and within-subject (LCS conditions) effects on RT and RA. Experienced MTB athletes scored higher on RA than non-MTB in easy, moderate and hard LCS videos (F=3.038, p=0.001, ES=0.44) but did not differ in RT. Both RA (F=10.315, p