Sustained attention when squatting with and without an exoskeleton for the lower limbs

Bridger, Robert; Ashford, A.I.; Wattie, S.; Dobson, Karen; Fisher, Iris; Pisula, P.J.

doi:10.1016/j.ergon.2018.03.005

Cited by 17 publications

(16 citation statements)

References 13 publications

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“…So, although a priori not included in (or even opposed to) mental workload by definition, physical workload is an important variable to take into account when measuring mental workload. There is a risk of observing false positives in increases in mental workload (e.g., in [ 40 ]), the increase in heart rate is due to the squatting position and not to the mental workload) or on the contrary false negatives, the mental workload being hidden by the physical demand [ 33 ]. It is therefore crucial to carefully examine the effect of physical load, especially in the field of wearable assistive devices for which cognitive and motor actions are obviously often used as evaluation tasks.…”

Section: Discussionmentioning

confidence: 99%

“…Recognizing the difficulty of characterizing mental workload, many studies used multiple measurement methods at the same time to obtain a more reliable measure. In particular, many studies used a subjective questionnaire in addition to the objective measure to confirm the latter [ 25 , 33 , 38 , 40 – 45 ]. There are also studies using multiple measures at the same time, including various physiological measures [ 25 , 33 , 38 ].…”

Section: Discussionmentioning

confidence: 99%

“…Some researchers have added new subscales to the NASA-TLX to supplement it. For example, a “Conflicting Work Demand” item was added in [ 40 ], and an item regarding perceived embodiment of the prosthesis was added in [ 35 ]. Various similar questionnaires, but more specific to the field of wearable assistive robotics, were also introduced, either to replace the NASA-TLX [ 44 , 45 ] or to complement it [ 35 , 40 ].…”

Section: Mental Workload Measurement Methodsmentioning

confidence: 99%

“…[ 45 , 50 , 51 , 54 , 56 , 57 ] and memory tests [ 47 , 58 , 59 ]. Several studies also use approaches based on audio stimuli [ 3 , 4 , 52 , 60 , 61 ] or visual stimuli [ 3 , 16 , 33 , 40 , 52 , 62 ]. However, these visual tasks are typically used with lower limb devices, as the use of upper limb devices already requires a high level of visual attention.…”

Section: Mental Workload Measurement Methodsmentioning

confidence: 99%

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Measuring mental workload in assistive wearable devices: a review

Marchand

Graaf

Jarrassé

2021

J NeuroEngineering Rehabil

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Mental Workload Measurement Methodsmentioning

confidence: 99%

Section: Mental Workload Measurement Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Measuring mental workload in assistive wearable devices: a review

Marchand

Graaf

Jarrassé

2021

J NeuroEngineering Rehabil

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“…Its objective is to increase the efficiency of human activity by removing those features of the design that are likely to cause inefficiency or physical disability in the long term and thus to minimize the cost of operation. The application of ergonomics had the potential to relieve at least some of the drudgery associated with agricultural tasks carried out by tropical farmers (Bridger et al, 2018). Ergonomical study of hand chaff cutter was felt very important to increase the man-machine system efficiently and to improve the operator's health.…”

Section: Introductionmentioning

confidence: 99%

Ergonomical Assessment on Hand Operated Chaff Cutter by Rural Women Workers

Akki¹,

Nirmala²,

Batta³

et al. 2021

IJBSM

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A study was conducted to ease the fodder cutting operations a commercially available hand chaff cutter (Sokhiya Agricultural Industries, Jaipur, India) during 2019–20 in the Department of Farm Machinery and Power Engineering at College of Agricultural Engineering, Sangareddy, Telangana, India. The assessment was done using with 3 different age group female workers who regularly feed to the animals to assess its suitability for workers of the southern region of India. The parameters used for the Ergonomical evaluation include machine operation at different forces are heart rate, pulse rate, oxygen consumption rate, and energy expenditure rate. The average heart rate for female subjects of P1, P2 and P3 was recorded before the operation is 79, 76 and 81 beats min-1 and after the operation is 109, 108 and 113 beats min-1 for various fodders. The average pulse rate for female subjects of P1, P2, and P3 was recorded before the operation is 62, 68, and 63 beats min-1 and after the operation is 80, 80, and 82 beats min-1 for various fodders. The average oxygen consumption rate and energy expenditure rate of female subjects of P1, P2 and P3 were found to be 0.61, 0.59 and 0.66 liter min-1, and 12.68, 12.36 and 13.74 KJ min-1 respectively after operation of chaff cutter. The physiological parameters are heart rate, pulse rate, oxygen consumption rate, and energy consumption rate increased more rapidly for all age group female workers after operation of chaff cutter with 3 various fodders.

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Workplace-based assessment and intervention design for waste sorting tasks in a developing country

Emmatty

Panicker

2022

Sādhanā

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Sustained attention when squatting with and without an exoskeleton for the lower limbs

Cited by 17 publications

References 13 publications

Measuring mental workload in assistive wearable devices: a review

Measuring mental workload in assistive wearable devices: a review

Ergonomical Assessment on Hand Operated Chaff Cutter by Rural Women Workers

Workplace-based assessment and intervention design for waste sorting tasks in a developing country

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