Is Anticipation Skill Learning Bayesian?

• Published in: Research quarterly for exercise and sport Vol. 95; no. 3; pp. 664 - 679
• Main Authors: Smeeton, Nicholas J., Meyer, Johannes, Varga, Matyas, Klatt, Stefanie
• Format: Journal Article
• Language: English
• Published: United States Routledge 02.07.2024
• Subjects: Advance cue; perceptual learning; predictive coding; situational probabilities; sport; situational probabilities; perceptual learning; predictive coding; sport; Advance cue
• ISSN: 0270-1367; 2168-3824; 2168-3824
• DOI: 10.1080/02701367.2023.2294100

Purpose: The aims of this study were to examine the learning of anticipation skill in the presence of kinematic and outcome probabilities information, and to see if this learning exhibited characteristics of Bayesian integration. Method: Participants with no competitive tennis playing experience watched tennis player stimuli playing forehand tennis shots and were tasked with predicted shot outcomes. Accuracy, response times and perceived task effort were recorded, pre, post and during four acquisition blocks where outcome feedback was provided. In both Experiment 1 and 2, kinematic information about shot direction was either present in the training group stimuli or absent. In Experiment 1, left/right shot probability information remained equi-probable for both groups. In Experiment 2, both groups also trained with a bias in the shot outcome probability toward one shot direction on 80% of the trials across acquisition blocks (and were not told about this manipulation). Results: Pre-to-post anticipation performance improved in the presence of kinematic (EXP 1) or both information sources (EXP 2). Pre-to-post improvements in the presence of shot outcome probability information were congruent with the bias in the shot direction trained (EXP 2). Superior anticipation performance was found when both information sources were present. The presence of kinematic information resulted in increased perceived effort during early training (EXP 1 & 2). Bayesian odds ratios indicated that shot direction probabilities and kinematic information were integrated during anticipation skill learning. Conclusion: Learning with shot direction probabilities and kinematic information shows characteristics of Bayesian integration.