Affordances for throwing: An uncontrolled manifold analysis.
| Title: | Affordances for throwing: An uncontrolled manifold analysis. |
|---|---|
| Authors: | Bennett, Timothy1 (AUTHOR), Thomas, Liam1 (AUTHOR), Wilson, Andrew D.2 (AUTHOR) a.d.wilson@leedsbeckett.ac.uk |
| Source: | PLoS ONE. 4/17/2024, Vol. 19 Issue 4, p1-21. 21p. |
| Subject Terms: | *TENNIS balls, *TASK analysis, *TASK performance, *ELBOW, *SHOULDER |
| Abstract: | Movement systems are massively redundant, and there are always multiple movement solutions to any task demand; motor abundance. Movement consequently exhibits 'repetition without repetition', where movement outcomes are preserved but the kinematic details of the movement vary across repetitions. The uncontrolled manifold (UCM) concept is one of several methods that analyses movement variability with respect to task goals, to quantify repetition without repetition and test hypotheses about the control architecture producing a given abundant response to a task demand. However, like all these methods, UCM is under-constrained in how it decomposes a task and performance. In this paper, we propose and test a theoretical framework for constraining UCM analysis, specifically the perception of task-dynamical affordances. Participants threw tennis balls to hit a target set at 5m, 10m or 15m, and we performed UCM analysis on the shoulder-elbow-wrist joint angles with respect to variables derived from an affordance analysis of this task as well as more typical biomechanical variables. The affordance-based UCM analysis performed well, although data also showed thrower dynamics (effectivities) need to be accounted for as well. We discuss how the theoretical framework of affordances and affordance-based control can be connected to motor abundance methods in the future. [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Affordances for throwing: An uncontrolled manifold analysis. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bennett%2C+Timothy%22">Bennett, Timothy</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thomas%2C+Liam%22">Thomas, Liam</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wilson%2C+Andrew+D%2E%22">Wilson, Andrew D.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> a.d.wilson@leedsbeckett.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 4/17/2024, Vol. 19 Issue 4, p1-21. 21p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22TENNIS+balls%22">TENNIS balls</searchLink><br />*<searchLink fieldCode="DE" term="%22TASK+analysis%22">TASK analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22TASK+performance%22">TASK performance</searchLink><br />*<searchLink fieldCode="DE" term="%22ELBOW%22">ELBOW</searchLink><br />*<searchLink fieldCode="DE" term="%22SHOULDER%22">SHOULDER</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Movement systems are massively redundant, and there are always multiple movement solutions to any task demand; motor abundance. Movement consequently exhibits 'repetition without repetition', where movement outcomes are preserved but the kinematic details of the movement vary across repetitions. The uncontrolled manifold (UCM) concept is one of several methods that analyses movement variability with respect to task goals, to quantify repetition without repetition and test hypotheses about the control architecture producing a given abundant response to a task demand. However, like all these methods, UCM is under-constrained in how it decomposes a task and performance. In this paper, we propose and test a theoretical framework for constraining UCM analysis, specifically the perception of task-dynamical affordances. Participants threw tennis balls to hit a target set at 5m, 10m or 15m, and we performed UCM analysis on the shoulder-elbow-wrist joint angles with respect to variables derived from an affordance analysis of this task as well as more typical biomechanical variables. The affordance-based UCM analysis performed well, although data also showed thrower dynamics (effectivities) need to be accounted for as well. We discuss how the theoretical framework of affordances and affordance-based control can be connected to motor abundance methods in the future. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of PLoS ONE is the property of Public Library of Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0301320 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 1 Subjects: – SubjectFull: TENNIS balls Type: general – SubjectFull: TASK analysis Type: general – SubjectFull: TASK performance Type: general – SubjectFull: ELBOW Type: general – SubjectFull: SHOULDER Type: general Titles: – TitleFull: Affordances for throwing: An uncontrolled manifold analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bennett, Timothy – PersonEntity: Name: NameFull: Thomas, Liam – PersonEntity: Name: NameFull: Wilson, Andrew D. IsPartOfRelationships: – BibEntity: Dates: – D: 17 M: 04 Text: 4/17/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 19 – Type: issue Value: 4 Titles: – TitleFull: PLoS ONE Type: main |
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