The human performance characteristics of pitching and batting within the context of baseball game situations are examined to determine their influence on the batter' decision to swing or not at a pitched ball. Signal detection theory techniques are used on generated data to show how the probability of the batter swinging at a “strike” and leaving a “ball” could be optimized. Applications of this approach to game situations and areas for future research are discussed.
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