2022
DOI: 10.1016/j.jmsy.2022.10.017
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Classification of mental workload in Human-robot collaboration using machine learning based on physiological feedback

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Cited by 24 publications
(17 citation statements)
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“…On one hand, the measurement of facial temperature as a variable that can be correlated with CL has already been studied and reported in the literature [66]. The approach proposed in this paper is to measure the temperature on the cheek's skin using a contact-based sensor.…”
Section: Physiological Variables Selectionmentioning
confidence: 99%
“…On one hand, the measurement of facial temperature as a variable that can be correlated with CL has already been studied and reported in the literature [66]. The approach proposed in this paper is to measure the temperature on the cheek's skin using a contact-based sensor.…”
Section: Physiological Variables Selectionmentioning
confidence: 99%
“…The field of cognitive ergonomic is important to maintain worker's work quality that would affect the overall system's performance [6,7] . Studies have been carried out to understand how human respond during interaction with technology [8][9][10] and virtual environments [9,[11][12][13] . In logistic sector, understanding driver's cognitive load could also be utilized for supply chain divisions [14] .…”
Section: Introductionmentioning
confidence: 99%
“…For instance, some researchers have considered indices related to eye behavior, such as fixation duration/number ( Matthews et al, 2015 ; Wu et al, 2020 ) or blink rate/duration ( Nenna et al, 2023 ). Others have analyzed cardiac activity, for example, heart rate or heart rate variability ( Charles and Nixon, 2019 ; Lagomarsino et al, 2022 ; Lin and Lukodono, 2022 ), which can reflect fluctuations in the level of mental workload while performing working tasks. To explore the mental workload in experimental settings, the scientific literature has outlined how the manipulation of experimental tasks (e.g., dual task, time pressure, etc.)…”
Section: Introductionmentioning
confidence: 99%