- Title
- Interaction between situational probability information for cricket batsmen when anticipating a bowler’s intentions
- Creator
- Du Preez, Joshua
- Subject
- Cricket--Batting
- Date Issued
- 2020
- Date
- 2020
- Type
- Thesis
- Type
- Masters
- Type
- MA
- Identifier
- http://hdl.handle.net/10948/46355
- Identifier
- vital:39570
- Description
- The ability to anticipate the bowler’s intention is vital in skilled cricket batting. Two perceptual-cognitive skills used for anticipation include use of kinematic information and the use of situational probability information. This study aims to investigate the interaction between two sources of situational probability (action preferences of bowlers and opposition field placement) used by skilled cricket batsmen to anticipate the bowler’s intention in an in-situ setting. Fifteen skilled cricket batsmen were required to predict the delivery outcome (landing position) of 72 deliveries bowled by a bowling machine before attempting to strike each delivery. These deliveries were divided into four conditions of situational probability: no sources (control trials); field placement alone; action preference alone; and both field placement and action preferences. Data were collected according to batsmen’s prediction accuracy, response accuracy, and initial movement time. In the presence of situational probability information, batsmen were able to predict delivery outcome significantly better than chance level (25%) and control trials. Results revealed significant differences between sources of situational probability in terms of batsmen’s prediction accuracy but not response accuracy or initial movement time. In cricket batting, it appears that some sources of situational probability information are more valuable than others.
- Format
- x, 129 leaves
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Health Sciences
- Language
- English
- Rights
- Nelson Mandela University
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | du Preez, J 214064387 Dissertation April 2020.pdf | 1 MB | Adobe Acrobat PDF | View Details Download |