DETERMINING THE INDIVIDUAL ZONE OF OPTIMAL FUNCTIONING BY A PROBABILISTIC METHOD
 
Tenenbaum, G., Kamata, A., Florida State University, USA and Hanin, Y., Research Institute for Olympic Sports, Finland
 
The individual zone of optimal functioning (IZOF) model postulates the functional relationship between emotions and optimal performance, and aims at predicting the quality of upcoming performance with respect to the pre- performance emotional state of the performer. Several limitations associated with the current direct method of determining the IZOF are outlined, and a new probabilistic approach is introduced instead. In order to reliably postulate the boundaries of the IZOF based on probabilistic curve thresholds, performance outcomes varying in quality, and the emotional intensity associate d with them, are taken into account. Several probabilistic models are presented varying in their complexity, and hypothetical and real data are used to illustrate the concept.