Behavioral Measures in a Cognitive-Motor Batting Task Explain Real Game Performance of Top Athletes

• Main Authors: Daiki Nasu (Author), Masumi Yamaguchi (Author), Akemi Kobayashi (Author), Naoki Saijo (Author), Makio Kashino (Author), Toshitaka Kimura (Author)
• Format: Book
• Published: Frontiers Media S.A., 2020-05-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2624-9367; 10.3389/fspor.2020.00055
• Keywords: movement onset time; motion capture; hitting motion; path-analysis; button pressing; Sports; GV557-1198.995
• Source: Frontiers in Sports and Active Living, Vol 2 (2020)

Excellent athletic performance in baseball and softball batting is achieved through the momentary cognitive-motor processes. However, in previous studies, cognitive and motor processes are investigated separately. In this study, we focused on the difference in the time of swing onset (a delta onset) during a batting task where 17 elite female softball batters hit balls randomly thrown at two different speeds by pitchers. The delta onset included both cognitive and motor processes because the batters needed to anticipate the ball speed and discriminate their swing motion according to the time-to-contact. Then, we investigated the relationship between the delta onset and the batting outcomes of the batting task, and the relationship between the experimental outcomes and actual batting performance (batting average) over a season. We used path analysis to clarify the structure of the cognitive-motor processes and consequent performance. We found that the batters who had a larger delta onset attained superior batting outcomes (i.e., higher exit velocity and lower miss ratio) in the batting task, and these experimental outcomes explained 67% of the batting average in real games. On the other hand, the cognitive scores (judgement accuracy and rapidity) obtained from a button pressing task, where batters responded to a ball by pressing a button instead of actually swinging, explained only 34% of the batting average. Therefore, our model quantitatively describes the key cognitive-motor structure for athletes and can partially predict a batter's performance in real games. These findings suggest that it is important to employ both cognitive and motor processes in performing tasks, such as this batting task, to properly evaluate a batter's actual ability.