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Estimating Information Processing of Human Fast Continuous Tapping from Trajectories
Fitts studied the problem of information capacity and transfer in the speed–accuracy motor paradigm using a theoretical approach developed from Shannon and Weaver’s information theory. The information processing (bit/s) estimated in Fitts’ study is calculated from the movement time required to achie...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223281/ https://www.ncbi.nlm.nih.gov/pubmed/35741509 http://dx.doi.org/10.3390/e24060788 |
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author | Murakami, Hiroki Yamada, Norimasa |
author_facet | Murakami, Hiroki Yamada, Norimasa |
author_sort | Murakami, Hiroki |
collection | PubMed |
description | Fitts studied the problem of information capacity and transfer in the speed–accuracy motor paradigm using a theoretical approach developed from Shannon and Weaver’s information theory. The information processing (bit/s) estimated in Fitts’ study is calculated from the movement time required to achieve the required task index of difficulty but is essentially different from Shannon’s information entropy. Thus, we estimated the information entropy of multiple human movement trajectories and the mutual information among trajectories for the continuous aiming task in Fitts’ paradigm. Further, we estimated the information processing moment by moment. Two methods were considered: (1) encoded values encompassing the coordinates of the three dimensions and (2) coordinate values associated with each direction in the three dimensions. Information entropy indicates the magnitude of variation at each time point, and the structure of this variation varies with the index of difficulty. The ratio of entropy to mutual information was examined, and it was found that information was processed from the first half of the trajectory in difficult tasks. In addition, since these values calculated from the encoded method were higher than those from the conventional method, this method may be able to estimate these values successfully. |
format | Online Article Text |
id | pubmed-9223281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92232812022-06-24 Estimating Information Processing of Human Fast Continuous Tapping from Trajectories Murakami, Hiroki Yamada, Norimasa Entropy (Basel) Article Fitts studied the problem of information capacity and transfer in the speed–accuracy motor paradigm using a theoretical approach developed from Shannon and Weaver’s information theory. The information processing (bit/s) estimated in Fitts’ study is calculated from the movement time required to achieve the required task index of difficulty but is essentially different from Shannon’s information entropy. Thus, we estimated the information entropy of multiple human movement trajectories and the mutual information among trajectories for the continuous aiming task in Fitts’ paradigm. Further, we estimated the information processing moment by moment. Two methods were considered: (1) encoded values encompassing the coordinates of the three dimensions and (2) coordinate values associated with each direction in the three dimensions. Information entropy indicates the magnitude of variation at each time point, and the structure of this variation varies with the index of difficulty. The ratio of entropy to mutual information was examined, and it was found that information was processed from the first half of the trajectory in difficult tasks. In addition, since these values calculated from the encoded method were higher than those from the conventional method, this method may be able to estimate these values successfully. MDPI 2022-06-04 /pmc/articles/PMC9223281/ /pubmed/35741509 http://dx.doi.org/10.3390/e24060788 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Murakami, Hiroki Yamada, Norimasa Estimating Information Processing of Human Fast Continuous Tapping from Trajectories |
title | Estimating Information Processing of Human Fast Continuous Tapping from Trajectories |
title_full | Estimating Information Processing of Human Fast Continuous Tapping from Trajectories |
title_fullStr | Estimating Information Processing of Human Fast Continuous Tapping from Trajectories |
title_full_unstemmed | Estimating Information Processing of Human Fast Continuous Tapping from Trajectories |
title_short | Estimating Information Processing of Human Fast Continuous Tapping from Trajectories |
title_sort | estimating information processing of human fast continuous tapping from trajectories |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9223281/ https://www.ncbi.nlm.nih.gov/pubmed/35741509 http://dx.doi.org/10.3390/e24060788 |
work_keys_str_mv | AT murakamihiroki estimatinginformationprocessingofhumanfastcontinuoustappingfromtrajectories AT yamadanorimasa estimatinginformationprocessingofhumanfastcontinuoustappingfromtrajectories |