Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Murakami, Hiroki, Yamada, Norimasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784733088055558144
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