Results 191 to 200 of about 191,881 (234)

Understanding Workers' Well-Being and Cognitive Load in Human-Cobot Collaboration: Systematic Review.

J Med Internet Res
Bassi G, Orso V, Salcuni S, Gamberini L.
europepmc   +1 more source

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Beban Kerja, Nasa-TLX PENGUKURAN BEBAN KERJA MENTAL MENGGUNAKAN METODE NASA-TLX DI UMKM BELFII

Jurnal Baut dan Manufaktur: Jurnal Keilmuan Teknik Mesin dan Teknik Industri
UMKM Bellfi merupakan usaha yang bergerak diproduksi olahan makanan abon sapi, abon ayam dan abon hati ayam. Berdasarkan pengamatan dan interview langsung, karyawan mengeluhkan beban kerja berupa kelelahan dan gangguan konsentrasi saat bekerja yang ...
Lutfi Lutfi
semanticscholar   +2 more sources

Nasa-Task Load Index (NASA-TLX); 20 Years Later

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2006
NASA-TLX is a multi-dimensional scale designed to obtain workload estimates from one or more operators while they are performing a task or immediately afterwards. The years of research that preceded subscale selection and the weighted averaging approach resulted in a tool that has proven to be reasonably easy to use and reliably sensitive to ...
S. Hart
semanticscholar   +2 more sources

Impact of experience on the sensitivity, acceptability, and intrusive of two subjective mental workload techniques: The NASA TLX and workload profile

Work, 2023
BACKGROUND: Today’s work environments have high cognitive demands, and mental workload is one of the main causes of work stress, human errors, and accidents.
M. A. Barajas-Bustillos, A. Maldonado-Macías, M. Serrano-Rosa, J. Hernández-Arellano, Luis Llamas-Alonso, Omar Balderrama-Armendariz   +5 more
semanticscholar   +1 more source

NASA TLX: Software for assessing subjective mental workload

Behavior Research Methods, 2009
The NASA Task Load Index (TLX) is a popular technique for measuring subjective mental workload. It relies on a multidimensional construct to derive an overall workload score based on a weighted average of ratings on six subscales: mental demand, physical demand, temporal demand, performance, effort, and frustration level.
Alex, Cao, Keshav K, Chintamani, Abhilash K, Pandya, R Darin, Ellis   +3 more
openaire   +2 more sources

Measurement Invariance of the Nasa TLX

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2008
Mental workload is one of the most important constructs of interests for Human Factors researchers. Adequately assessing the amount of mental workload that people experience while performing tasks under specific conditions is essential for the design of safe and efficient systems.
Ernesto A. Bustamante, Randall D. Spain
openaire   +1 more source

The National Aviation and Space Agency Task Load Index (NASA-TLX): Does it Need Updating?

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 2022
The NASA-TLX is arguably the most widely used self-report measure of workload in the field of Human Factors and Ergonomics. Previous research utilizing factor analysis has indicated it may not actually be a good unitary measure of workload.
W. Helton, Kenneth M. Jackson, Katharina Näswall, Bonnie Humphrey   +3 more
semanticscholar   +1 more source

11 NASA-TLX Workload Profile of the Trail Making Test

Journal of the International Neuropsychological Society, 2023
Objective:Workload is a useful construct in human factors and neuroergonomics research that describes “the perceived relationship between the amount of mental [and physical] processing capability or resources and the amount required by the task”.
David J. Hardy, Hannah A. Agbaroji, Oliver J. Hatch, Estefania Valencia, David J. Moore, Matthew J. Wright   +5 more
openaire   +1 more source

A comprehensive experimental framework based on analysis of the pilot’s EEG and NASA-TLX questionnaire in a VR environment

Proceedings of the Institution of mechanical engineers. Part H, journal of engineering in medicine, 2023
The relationship framework between electroencephalogram (EEG) signals and subjective perception during pilots’ missions was established to improve pilots’ training efficiency and flight safety. Primarily, this study constructs a real flight scene through
Li Ji, Chen Zhang, Haiwei Li, Ningning Zhang, Changhao Guo, Yong Zhang, Xiaoyu Tang   +6 more
semanticscholar   +1 more source