Measuring mental workload in assistive wearable devices: a review

Abstract As wearable assistive devices, such as prostheses and exoskeletons, become increasingly sophisticated and effective, the mental workload associated with their use remains high and becomes a major challenge to their ecological use and long-term adoption. Numerous methods of measuring mental...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Charlotte Marchand, Jozina B. De Graaf, Nathanaël Jarrassé
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Mental workload Prosthesis Exoskeleton Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/5a395adda83b4836971f3a90fe1c79d6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5a395adda83b4836971f3a90fe1c79d6
record_format	dspace
spelling	oai:doaj.org-article:5a395adda83b4836971f3a90fe1c79d62021-11-14T12:39:24ZMeasuring mental workload in assistive wearable devices: a review10.1186/s12984-021-00953-w1743-0003https://doaj.org/article/5a395adda83b4836971f3a90fe1c79d62021-11-01T00:00:00Zhttps://doi.org/10.1186/s12984-021-00953-whttps://doaj.org/toc/1743-0003Abstract As wearable assistive devices, such as prostheses and exoskeletons, become increasingly sophisticated and effective, the mental workload associated with their use remains high and becomes a major challenge to their ecological use and long-term adoption. Numerous methods of measuring mental workload co-exist, making analysis of this research topic difficult. The aim of this review is to examine how mental workload resulting from the use of wearable assistive devices has been measured, in order to gain insight into the specific possibilities and limitations of this field. Literature searches were conducted in the main scientific databases and 60 articles measuring the mental workload induced by the use of a wearable assistive device were included in this study. Three main families of methods were identified, the most common being ’dual task’ and ’subjective assessment’ methods, followed by those based on ’physiological measures’, which included a wide variety of methods. The variability of the measurements was particularly high, making comparison difficult. There is as yet no evidence that any particular method of measuring mental workload is more appropriate to the field of wearable assistive devices. Each method has intrinsic limitations such as subjectivity, imprecision, robustness or complexity of implementation or interpretation. A promising metric seems to be the measurement of brain activity, as it is the only method that is directly related to mental workload. Finally, regardless of the measurement method chosen, special attention should be paid to the measurement of mental workload in the context of wearable assistive devices. In particular, certain practical considerations, such as ecological situations and environments or the level of expertise of the participants tested, may be essential to ensure the validity of the mental workload assessed.Charlotte MarchandJozina B. De GraafNathanaël JarrasséBMCarticleMental workloadProsthesisExoskeletonNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENJournal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mental workload Prosthesis Exoskeleton Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Mental workload Prosthesis Exoskeleton Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Charlotte Marchand Jozina B. De Graaf Nathanaël Jarrassé Measuring mental workload in assistive wearable devices: a review
description	Abstract As wearable assistive devices, such as prostheses and exoskeletons, become increasingly sophisticated and effective, the mental workload associated with their use remains high and becomes a major challenge to their ecological use and long-term adoption. Numerous methods of measuring mental workload co-exist, making analysis of this research topic difficult. The aim of this review is to examine how mental workload resulting from the use of wearable assistive devices has been measured, in order to gain insight into the specific possibilities and limitations of this field. Literature searches were conducted in the main scientific databases and 60 articles measuring the mental workload induced by the use of a wearable assistive device were included in this study. Three main families of methods were identified, the most common being ’dual task’ and ’subjective assessment’ methods, followed by those based on ’physiological measures’, which included a wide variety of methods. The variability of the measurements was particularly high, making comparison difficult. There is as yet no evidence that any particular method of measuring mental workload is more appropriate to the field of wearable assistive devices. Each method has intrinsic limitations such as subjectivity, imprecision, robustness or complexity of implementation or interpretation. A promising metric seems to be the measurement of brain activity, as it is the only method that is directly related to mental workload. Finally, regardless of the measurement method chosen, special attention should be paid to the measurement of mental workload in the context of wearable assistive devices. In particular, certain practical considerations, such as ecological situations and environments or the level of expertise of the participants tested, may be essential to ensure the validity of the mental workload assessed.
format	article
author	Charlotte Marchand Jozina B. De Graaf Nathanaël Jarrassé
author_facet	Charlotte Marchand Jozina B. De Graaf Nathanaël Jarrassé
author_sort	Charlotte Marchand
title	Measuring mental workload in assistive wearable devices: a review
title_short	Measuring mental workload in assistive wearable devices: a review
title_full	Measuring mental workload in assistive wearable devices: a review
title_fullStr	Measuring mental workload in assistive wearable devices: a review
title_full_unstemmed	Measuring mental workload in assistive wearable devices: a review
title_sort	measuring mental workload in assistive wearable devices: a review
publisher	BMC
publishDate	2021
url	https://doaj.org/article/5a395adda83b4836971f3a90fe1c79d6
work_keys_str_mv	AT charlottemarchand measuringmentalworkloadinassistivewearabledevicesareview AT jozinabdegraaf measuringmentalworkloadinassistivewearabledevicesareview AT nathanaeljarrasse measuringmentalworkloadinassistivewearabledevicesareview
_version_	1718429107607306240

Measuring mental workload in assistive wearable devices: a review

Ejemplares similares