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Integrating force and position: testing model predictions
In this study, we investigated the integration of force and position information in a task in which participants were asked to estimate the center of a weak force field. Two hypotheses, describing how participants solved this task, were tested: (1) by only using the position(s) where the force reach...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071379/ https://www.ncbi.nlm.nih.gov/pubmed/27450079 http://dx.doi.org/10.1007/s00221-016-4734-1 |
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author | van Beek, Femke E. Bergmann Tiest, Wouter M. Kappers, Astrid M. L. Baud-Bovy, Gabriel |
author_facet | van Beek, Femke E. Bergmann Tiest, Wouter M. Kappers, Astrid M. L. Baud-Bovy, Gabriel |
author_sort | van Beek, Femke E. |
collection | PubMed |
description | In this study, we investigated the integration of force and position information in a task in which participants were asked to estimate the center of a weak force field. Two hypotheses, describing how participants solved this task, were tested: (1) by only using the position(s) where the force reaches the detection threshold, and (2) by extrapolating the force field based on perceived stiffness. Both hypotheses were also described formally, assuming a psychophysical function obeying a power law with an exponent smaller than one. The hypotheses were tested in two psychophysical experiments, in which 12 participants took part. In Experiment 1, an asymmetric force field was used and the presence of visual feedback about hand position was varied. In Experiment 2, a unilateral force field was used. For both experiments, hypothesis 1 predicts biases between (Experiment 1) or at (Experiment 2) the position(s) of the force detection threshold, while hypothesis 2 predicts smaller biases. The measured data show significant biases in both experiments that coincide with the biases predicted by using force detection thresholds from the literature. The average measured responses and their variabilities also fitted very well with the mathematical model of hypothesis 1. These results underline the validity of hypothesis 1. So, participants did not use a percept of the stiffness of the force field, but based their estimation of the center of the force field on the position(s) where the force reached the detection threshold. This shows that force and position information were not integrated in this task. |
format | Online Article Text |
id | pubmed-5071379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-50713792016-11-03 Integrating force and position: testing model predictions van Beek, Femke E. Bergmann Tiest, Wouter M. Kappers, Astrid M. L. Baud-Bovy, Gabriel Exp Brain Res Research Article In this study, we investigated the integration of force and position information in a task in which participants were asked to estimate the center of a weak force field. Two hypotheses, describing how participants solved this task, were tested: (1) by only using the position(s) where the force reaches the detection threshold, and (2) by extrapolating the force field based on perceived stiffness. Both hypotheses were also described formally, assuming a psychophysical function obeying a power law with an exponent smaller than one. The hypotheses were tested in two psychophysical experiments, in which 12 participants took part. In Experiment 1, an asymmetric force field was used and the presence of visual feedback about hand position was varied. In Experiment 2, a unilateral force field was used. For both experiments, hypothesis 1 predicts biases between (Experiment 1) or at (Experiment 2) the position(s) of the force detection threshold, while hypothesis 2 predicts smaller biases. The measured data show significant biases in both experiments that coincide with the biases predicted by using force detection thresholds from the literature. The average measured responses and their variabilities also fitted very well with the mathematical model of hypothesis 1. These results underline the validity of hypothesis 1. So, participants did not use a percept of the stiffness of the force field, but based their estimation of the center of the force field on the position(s) where the force reached the detection threshold. This shows that force and position information were not integrated in this task. Springer Berlin Heidelberg 2016-07-23 2016 /pmc/articles/PMC5071379/ /pubmed/27450079 http://dx.doi.org/10.1007/s00221-016-4734-1 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Article van Beek, Femke E. Bergmann Tiest, Wouter M. Kappers, Astrid M. L. Baud-Bovy, Gabriel Integrating force and position: testing model predictions |
title | Integrating force and position: testing model predictions |
title_full | Integrating force and position: testing model predictions |
title_fullStr | Integrating force and position: testing model predictions |
title_full_unstemmed | Integrating force and position: testing model predictions |
title_short | Integrating force and position: testing model predictions |
title_sort | integrating force and position: testing model predictions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071379/ https://www.ncbi.nlm.nih.gov/pubmed/27450079 http://dx.doi.org/10.1007/s00221-016-4734-1 |
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