2022
DOI: 10.1016/j.trf.2022.02.012
|View full text |Cite
|
Sign up to set email alerts
|

A subjective one-item measure based on NASA-TLX to assess cognitive workload in driver-vehicle interaction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
1
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 28 publications
(3 citation statements)
references
References 38 publications
0
1
0
Order By: Relevance
“…The mean of the weighted rating of conventional 3D software (48.885) is a little lower than the mean of the average weighted rating of VR-based software (59.453). This shows that the VR-based software is more engaging as the cognitive load was higher [37].…”
Section: Nasa-tlx Studymentioning
confidence: 84%
“…The mean of the weighted rating of conventional 3D software (48.885) is a little lower than the mean of the average weighted rating of VR-based software (59.453). This shows that the VR-based software is more engaging as the cognitive load was higher [37].…”
Section: Nasa-tlx Studymentioning
confidence: 84%
“…The NASA-TLX method is the most commonly applied method for subjective assessment of cognitive load and has the advantage of being highly sensitive to changes in cognitive load. This tool has been successfully employed to measure cognitive load in various interface design domains, including assessing cognitive workload in driver-vehicle interactions 35 and investigating the impact of interface interaction types on operator mental workload. 36 In summary, the quantifiable parameters primarily studied for cognitive load in this paper are pupil diameter, blink rate, and NASA-TLX.…”
Section: Eye-tracking and Cognitive Load Research In Interface Layoutsmentioning
confidence: 99%
“…In addition, with evaluation and special treatment that can reduce the mental burden of workers, suitable and comfortable working conditions will be created without excessive pressure when doing work to increase work productivity, ultimately optimizing company profits (Putri & Handayani, 2017). NASA-TLX also produce stable result across various setup of experiments and samples, and the instrument shows high sensitivity even in non-critical cognitive load levels based on research that explores the cognitive workload of 107 driver and related to in-vehicle information systems (Janczewski et al, 2022).…”
Section: Introductionmentioning
confidence: 99%