Evaluation and prediction mental workload in user interface of maritime operations using eye response

Su, Yuelong; Yingying, Wei; Tran, Cong Chi

doi:10.1016/j.ergon.2019.03.002

Cited by 41 publications

(22 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, saccade velocity can be related to lethargy, stress, and fatigue [ 64 , 93 ]. For example, saccade rate decreases with fatigue and difficult tasks [ 27 ]. Saccadic length has also been used to measure mental workload [ 33 ] and has been shown to increase with increased mental workload (MWL) [ 73 ], with very short saccades related to the presence of conflict [ 56 ].…”

Section: Resultsmentioning

confidence: 99%

“…Consequently, excessive MWL may result in poor situation awareness [ 159 ]. The advantages of using eye tracking instead of self-assessment methods to measure mental workload are the elimination of various human factors such as bias, likelihood of falsified results, likelihood of random responses, mistakes, and complaint attitudes [ 27 ]. Moreover, self-assessment methods cannot be used in real time, whereas eye tracking technologies offer the possibility of continuously monitoring an individual’s cognitive state without interfering with their performance in real-life situations [ 77 ].…”

Section: Resultsmentioning

confidence: 99%

“…The studies that applied eye tracking in the maritime and aviation sectors studied MWL in situations involving different emotional and physiological states and to understand the impact of HMIs on individuals’ MWL. For example, Yan et al [ 27 ] studied the relationship between operators’ MWL and eye responses in the task of operating a marine engine interface. Moreover, they developed an artificial neural network (ANN) model to predict the operators’ MWL based on integrating eye response data.…”

Section: Resultsmentioning

confidence: 99%

“…For example, in the automobile, aviation, and maritime industries, eye tracking technologies have been used in conjunction with sophisticated simulators to understand where pilots and navigators are looking under different physical and mental states, such as fatigue, anxiety, and stress [ 24 , 25 ]. Furthermore, the impacts of HMIs such as cockpits (for airplanes) and bridges (for ships) on human visual attention and their performance have been studied using eye trackers [ 26 , 27 ].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

View full text Add to dashboard Cite

Most accidents in the aviation, maritime, and construction industries are caused by human error, which can be traced back to impaired mental performance and attention failure. In 1596, Du Laurens, a French anatomist and medical scientist, said that the eyes are the windows of the mind. Eye tracking research dates back almost 150 years and it has been widely used in different fields for several purposes. Overall, eye tracking technologies provide the means to capture in real time a variety of eye movements that reflect different human cognitive, emotional, and physiological states, which can be used to gain a wider understanding of the human mind in different scenarios. This systematic literature review explored the different applications of eye tracking research in three high-risk industries, namely aviation, maritime, and construction. The results of this research uncovered the demographic distribution and applications of eye tracking research, as well as the different technologies that have been integrated to study the visual, cognitive, and attentional aspects of human mental performance. Moreover, different research gaps and potential future research directions were highlighted in relation to the usage of additional technologies to support, validate, and enhance eye tracking research to better understand human mental performance.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Martinez-Marquez

Pingali

Panuwatwanich

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The median pupil width was calculated for each trial. The number of blinks is another commonly used physiological measure of workload, where number of blinks tends to decrease as the workload increases (Yan, Wei, & Tran, 2019). We calculated the number of blinks for each trial.…”

Section: Data Analysis Task Workload Assessmentmentioning

confidence: 99%

A comparison of workload demands imposed by different types of distracted walking tasks and its effect on gait

Zheng

Luo

et al. 2020

Proceedings of the Human Factors and Ergonomics Society Annual

View full text Add to dashboard Cite

A growing body of research has found that distracted walking is a safety concern due to reduced situation awareness and the possibility of compromised gait performance. Distraction tasks, such as texting, browsing social media, and playing games, differ in terms of their physical and cognitive demands. However, few studies have examined whether there are differences in how physical and cognitive demands impact gait. The goal of this paper is to evaluate workload differences between four distraction tasks that represent common smartphone functions and may differ in terms of physical and cognitive demands: 1) No distraction, 2) Reading, 3) Tapping, 4) N-Back. We characterized the workload differences using three methods, a subjective workload assessment (NASA-TLX) and two physiological workload measures, pupil width and blink rate. Our results suggest that the chosen distraction tasks differ in their workload demands. While, a preliminary analysis of descriptive gait parameters failed to find significant differences between the distraction conditions, further analysis of more complex gait measures may be required to understand differences between physical and cognitive demands.

show abstract

A Review on Applications of Soft Computing Techniques in Neuroergonomics During the Last Decade

Çakıt

Karwowski

2020

Advances in Neuroergonomics and Cognitive Engineering

View full text Add to dashboard Cite

Evaluation and prediction mental workload in user interface of maritime operations using eye response

Cited by 41 publications

References 42 publications

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review

A comparison of workload demands imposed by different types of distracted walking tasks and its effect on gait

A Review on Applications of Soft Computing Techniques in Neuroergonomics During the Last Decade

Contact Info

Product

Resources

About