Modeling goal-directed movements in modern pistol competition
| Autor: | Alexander A. Brown, Chason J. Coelho |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
05 social sciences Context (language use) 030229 sport sciences Industrial engineering 050105 experimental psychology Task (project management) Cognitive strategy Competition (economics) 03 medical and health sciences 0302 clinical medicine Probability distribution 0501 psychology and cognitive sciences Fitts's law Pace |
| Zdroj: | SMC |
| DOI: | 10.1109/smc.2017.8122701 |
| Popis: | This paper explores the predictive power of perhaps the most well-supported human performance model in the context of a complex ecological task. The model is Fitts Law, which describes the classic speed-accuracy tradeoff of goal-directed motor behavior. The task is modern pistol shooting competition, which demands explicit cognitive strategy and full-body biomechanical coordination. Data obtained via video analysis indicate that Fitts Law can in fact predict human performance in competitive shooting. Speed-accuracy tradeoffs for target transitions are further investigated to determine an optimal pace for competitive shooting in order to maximize score. A Monte Carlo simulation is also offered which develops a probability distribution of possible scores based on accuracy and pace, all informed only by a calibrated Fitts model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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