Perceptual-motor tasks offer redundant solutions to achieve a goal. However, not all solutions are equally robust to error-producing noise or variability and thus, skill learning can be viewed as a search process to identify behaviors that are error-tolerant. Throwing a ball to hit a target is one such example of a complex perceptual-motor skill that has been studied in the laboratory via the virtual “skittles” task, a simplified 2D task involving throwing a tetherball around a pole to hit a target. We implemented the task as a Unity3D environment (code here: https://github.com/ShortFox/SkittlesTaskEnvironment/) which enables participants to complete the task with a computer mouse and replicated key findings from previous research. Our implementation allows for remote data collection and can serve as a pedagogical tool to teach concepts in skill acquisition. Future work will use this task to explore human versus machine skill acquisition by leveraging Unity’s MLAgents reinforcement learning package.
|Title of host publication||CogSci2022|
|Subtitle of host publication||proceedings of the 44th Annual Meeting of the Cognitive Science Society|
|Editors||J. Culbertson, A. Perfors, H. Rabagliati, V. Ramenzoni|
|Place of Publication||Austin, Texas|
|Publisher||Cognitive Science Society|
|Number of pages||1|
|Publication status||Published - 2022|
|Event||Annual Meeting of the Cognitive Science Society (44th : 2022) - Toronto, Canada|
Duration: 27 Jul 2022 → 30 Jul 2022
|Name||Proceedings of the Annual Meeting of the Cognitive Science Society|
|Conference||Annual Meeting of the Cognitive Science Society (44th : 2022)|
|Abbreviated title||CogSci 2022|
|Period||27/07/22 → 30/07/22|
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