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Title:The NASA-TLX approach to understand workers workload in humanrobot collaboration
Authors:ID Javernik, Aljaž (Author)
ID Buchmeister, Borut (Author)
ID Ojsteršek, Robert (Author)
Files:.pdf text22-4_658.pdf (615,62 KB)
MD5: 9FDB3BD9228FC78714DFE67531615D6B
 
URL https://www.ijsimm.com/Full_Papers/Fulltext2023/text22-4_658.pdf
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Human-robot collaboration (HRC) is becoming increasingly widespread in today's production systems, as it can contribute to achieving more efficient and flexible production systems. Given the growing importance of HRC, this paper addresses the significance of human workload in HRC. To study workers workload an experiment was conducted using NASA-TLX questionnaire. The experiment featured two scenarios involving the same operation but varying robot motion parameters. Recognizing that individual differences contribute to success of collaboration, the experiment considered worker utilization in relation to robot motion parameters. To ensure the credibility of the experimental results, the robot motion parameters were adjusted to each individual in order to achieve the same conditions and utilization at all participants. Results revealed that worker utilization, in conjunction with robot motion parameters significantly influenced worker workload. The results highlight the need for personalized guidelines in collaborative workplaces that emphasize individual differences in abilities, skills and personalities to increase overall well-being and robot and worker productivity.
Keywords:human-robot collaboration, industry 5.0, collaborative workplace, NASA-TLX, safety awareness, worker well-being, worker workload
Publication status:Published
Publication version:Version of Record
Publication date:01.12.2023
Publisher:DAAAM International Vienna
Year of publishing:2023
Number of pages:str. 574-585
Numbering:Vol. 22, no. 4
PID:20.500.12556/DKUM-91980 New window
UDC:658.5:004.5
ISSN on article:1726-4529
COBISS.SI-ID:174667779 New window
DOI:10.2507/IJSIMM22-4-658 New window
Publication date in DKUM:10.03.2025
Views:0
Downloads:2
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
JAVERNIK, Aljaž, BUCHMEISTER, Borut and OJSTERŠEK, Robert, 2023, The NASA-TLX approach to understand workers workload in humanrobot collaboration. International journal of simulation modelling [online]. 2023. Vol. 22, no. 4, p. 574–585. [Accessed 14 April 2025]. DOI 10.2507/IJSIMM22-4-658. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=91980
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Record is a part of a journal

Title:International journal of simulation modelling
Shortened title:Int. j. simul. model.
Publisher:DAAAM International Vienna
ISSN:1726-4529
COBISS.SI-ID:8008982 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0190-2018
Name:Napredni koncepti menedžmenta proizvodnje in dimenzionalnega meroslovja
Funder:Other - Other funder or multiple funders
Funding programme:Republic of Slovenia, the Ministry of Education, Science and Sport, and the European Union from the European Regional Development Fund
Name:Upgrading national research infrastructures - RIUM

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.

Secondary language

Language:Slovenian
Keywords:interakcija človek-robot, industrija 5.0, kolaborativni robot, ozaveščenost o varnosti, dobro počutje delavcev, delovne obremenitve


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