Investigation of Variable Exercise Intensities on Coincidence Anticipation Timing
2011-04-13
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Investigation of Variable Exercise Intensities on Coincidence Anticipation Timing
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2011-04-13
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Abstract
Coincidence anticipation timing is the ability to track a moving stimulus and correctly perform a coincident action at the exact moment the
stimulus arrives at a target area. For example, a baseball hitter uses his coincidence anticipation timing skills while tracking a baseball
from a pitcher’s hand to the exact moment he strikes the ball with his bat. He uses his ability to determine how and when to swing his
bat in order to make contact with the ball. Past vision research studies have examined the effects of different exercise intensities on a
subject’s dynamic visual acuity, the ability to track a moving object. Since dynamic visual acuity has been one of the only aspects of
visual ability examined, the purpose of this study was to examine the effect of varying levels of exercise intensities on a performer’s
coincidence anticipation timing. Twenty college-aged students’ coincident anticipation ability was tested at rest and during cycling
across three varying exercise intensity levels: 30%, 60%, and 90% of maximal heart rate. Coincidence anticipation timing for each of the
four experimental conditions was recorded in milliseconds. Each subject's coincident anticipation timing scores were calculated in terms
of absolute (magnitude), constant (bias), and variable errors (consistency). Three separate one-way ANOVA analyses were performed
for each type of error to determine the effects of the different experimental conditions on coincidence anticipation timing. The results of
the study determined if exercise intensity affects one’s ability to accurately perform receptive skills such as hitting or catching with little
bias and high reliability.
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Additional contributor: Duane Millslagle (faculty mentor)
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Smith, Melissa. (2011). Investigation of Variable Exercise Intensities on Coincidence Anticipation Timing. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/104489.
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