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Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation
The current experiment investigated the effect of visual accuracy feedback on the structure of variability of time interval estimates in the continuation tapping paradigm. Participants were asked to repeatedly estimate a 1-s interval for a prolonged period of time by tapping their index finger. In s...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201842/ https://www.ncbi.nlm.nih.gov/pubmed/22046149 http://dx.doi.org/10.3389/fnint.2011.00062 |
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author | Kuznetsov, Nikita A. Wallot, Sebastian |
author_facet | Kuznetsov, Nikita A. Wallot, Sebastian |
author_sort | Kuznetsov, Nikita A. |
collection | PubMed |
description | The current experiment investigated the effect of visual accuracy feedback on the structure of variability of time interval estimates in the continuation tapping paradigm. Participants were asked to repeatedly estimate a 1-s interval for a prolonged period of time by tapping their index finger. In some conditions, participants received accuracy feedback after every estimate, whereas in other conditions, no feedback was given. Also, the likelihood of receiving visual feedback was manipulated by adjusting the tolerance band around the 1-s target interval so that feedback was displayed only if the temporal estimate deviated from the target interval by more than 50, 100, or 200 ms respectively. We analyzed the structure of variability of the inter-tap intervals with fractal and multifractal methods that allow for a quantification of complex long-range correlation patterns in the timing performance. Our results indicate that feedback changes the long-range correlation structure of time estimates: Increased amounts of feedback lead to a decrease in fractal long-range correlations, as well to a decrease in the magnitude of local fluctuations in the performance. The multifractal characteristics of the time estimates were not impacted by the presence of accuracy feedback. Nevertheless, most of the data sets show significant multifractal signatures. We interpret these findings as showing that feedback acts to constrain and possibly reorganize timing performance. Implications for mechanistic and complex systems-based theories of timing behavior are discussed. |
format | Online Article Text |
id | pubmed-3201842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-32018422011-11-01 Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation Kuznetsov, Nikita A. Wallot, Sebastian Front Integr Neurosci Neuroscience The current experiment investigated the effect of visual accuracy feedback on the structure of variability of time interval estimates in the continuation tapping paradigm. Participants were asked to repeatedly estimate a 1-s interval for a prolonged period of time by tapping their index finger. In some conditions, participants received accuracy feedback after every estimate, whereas in other conditions, no feedback was given. Also, the likelihood of receiving visual feedback was manipulated by adjusting the tolerance band around the 1-s target interval so that feedback was displayed only if the temporal estimate deviated from the target interval by more than 50, 100, or 200 ms respectively. We analyzed the structure of variability of the inter-tap intervals with fractal and multifractal methods that allow for a quantification of complex long-range correlation patterns in the timing performance. Our results indicate that feedback changes the long-range correlation structure of time estimates: Increased amounts of feedback lead to a decrease in fractal long-range correlations, as well to a decrease in the magnitude of local fluctuations in the performance. The multifractal characteristics of the time estimates were not impacted by the presence of accuracy feedback. Nevertheless, most of the data sets show significant multifractal signatures. We interpret these findings as showing that feedback acts to constrain and possibly reorganize timing performance. Implications for mechanistic and complex systems-based theories of timing behavior are discussed. Frontiers Research Foundation 2011-10-17 /pmc/articles/PMC3201842/ /pubmed/22046149 http://dx.doi.org/10.3389/fnint.2011.00062 Text en Copyright © 2011 Kuznetsov and Wallot. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with. |
spellingShingle | Neuroscience Kuznetsov, Nikita A. Wallot, Sebastian Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation |
title | Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation |
title_full | Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation |
title_fullStr | Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation |
title_full_unstemmed | Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation |
title_short | Effects of Accuracy Feedback on Fractal Characteristics of Time Estimation |
title_sort | effects of accuracy feedback on fractal characteristics of time estimation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201842/ https://www.ncbi.nlm.nih.gov/pubmed/22046149 http://dx.doi.org/10.3389/fnint.2011.00062 |
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