4 research outputs found
Mean ± SD values for performances on the typing test, RAVLT, Stroop test, RCPT.
<p>Mean ± SD values for performances on the typing test, RAVLT, Stroop test, RCPT.</p
Grand averaged stimulus-locked ERP waveforms in the frontal (Fp1, Fp2, F4, F3, Fz, F7, F8, FC1, FC2) and the parietal (P3, P4, Pz, P7, P8, PO9, PO10) region in response to the Rosvold Continuous Performance test in the sitting (black line) and the cycling (red line) condition.
<p>Grand averaged stimulus-locked ERP waveforms in the frontal (Fp1, Fp2, F4, F3, Fz, F7, F8, FC1, FC2) and the parietal (P3, P4, Pz, P7, P8, PO9, PO10) region in response to the Rosvold Continuous Performance test in the sitting (black line) and the cycling (red line) condition.</p
Grand averaged stimulus-locked ERP waveforms in the frontal (Fp1, Fp2, F4, F3, Fz, F7, F8, FC1, FC2) and the parietal region (P3, P4, Pz, P7, P8, PO9, PO10) region in response to the neutral (N), colour congruent (CC), colour incongruent (CI), word congruent (WC) and word incongruent (WI) stimuli of the Stroop test in the sitting (black line) and the cycling (red line) condition.
<p>Grand averaged stimulus-locked ERP waveforms in the frontal (Fp1, Fp2, F4, F3, Fz, F7, F8, FC1, FC2) and the parietal region (P3, P4, Pz, P7, P8, PO9, PO10) region in response to the neutral (N), colour congruent (CC), colour incongruent (CI), word congruent (WC) and word incongruent (WI) stimuli of the Stroop test in the sitting (black line) and the cycling (red line) condition.</p
Occupational exoskeletons: A roadmap toward large-scale adoption. methodology and challenges of bringing exoskeletons to workplaces
The large-scale adoption of occupational exoskeletons (OEs) will only happen if clear evidence of effectiveness of the
devices is available. Performing product-specific field validation studies would allow the stakeholders and decision makers (e.g., employers, ergonomists, health, and safety departments) to assess OEs’ effectiveness in their specific
work contexts and with experienced workers, who could further provide useful insights on practical issues related to
exoskeleton daily use. This paper reviews present-day scientific methods for assessing the effectiveness of OEs in
laboratory and field studies, and presents the vision of the authors on a roadmap that could lead to large-scale adoption
of this technology. The analysis of the state-of-the-art shows methodological differences between laboratory and field
studies. While the former are more extensively reported in scientific papers, they exhibit limited generalizability of the
findings to real-world scenarios. On the contrary, field studies are limited in sample sizes and frequently focused only
on subjective metrics. We propose a roadmap to promote large-scale knowledge-based adoption of OEs. It details that
the analysis of the costs and benefits of this technology should be communicated to all stakeholders to facilitate
informed decision making, so that each stakeholder can develop their specific role regarding this innovation. Large scale field studies can help identify and monitor the possible side-effects related to exoskeleton use in real work
situations, as well as provide a comprehensive scientific knowledge base to support the revision of ergonomics risk assessment methods, safety standards and regulations, and the definition of guidelines and practices for the selection
and use of OEs