Risk behaviour and mental workload: Multimodal assessment techniques applied to motorbike riding simulation

Stasi, Leandro L. Di; Álvarez-Valbuena, Vanessa; Cañas, José J.; Maldonado, Antonio; Catena, Andrés; Antolí, Adoración; Cândido, Antônio

doi:10.1016/j.trf.2009.02.004

Cited by 99 publications

(52 citation statements)

References 21 publications

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“…Correspondingly, Di Stasi et al (2009) showed that people with higher mental workload tend to exhibit perilous behaviors (Di Stasi et al, 2009), which can increase occupational accidents. Nurses are among professionals who are constantly under risk of occupational accidents, such as needle stick injuries, exposure to chemical materials, and acquisition of musculoskeletal injuries (Alavi, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…Ozkan et al (2014) showed that there is a significant positive correlation between mental workload and the signs of embarrassment and interpersonal sensitivities (Ozkan et al, 2015). Di Stasi (2008) reported that increase of mental workload caused attitudes and beliefs to the mental workload of nursing staff is one of the most important indices for safety assessment in special wards (Di Stasi et al, 2009). The main cause of more than 90% of occupational hazards (and 70% to 90% of work-related accidents) is human error (Ghasemi et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of workload effect on nursing occupational accidents in hospitals of Kashan, Iran

et al. 2017

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Background: Nurses often experience occupational accidents and injuries. The mental workload is one of the factors that often cause tiredness. Perilous behaviors possibly occur more in tired persons resulting in injuries. The aim of the study was to evaluate the correlation between mental workload and nursing occupational accidents in public hospitals of Kashan, as well as factors affecting them. Methods: The analytic-descriptive study described herein consisted of nursing staff from public hospitals of Kashan, Iran. Information was collected using a three-part questionnaire from a selected clustery of 406 nursing personnel in 2016. The questionnaire was used to collect demographics, assess mental workload (per the National Aeronautics and Space Administration Task Load Index (NASA-TLX)), and assess frequency of accidents. The data were analyzed using SPSS software version 16. Results: A total of 455 occupational accidents were recorded for 2016 with about 2.27±1.21 accidents per nurse.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of workload effect on nursing occupational accidents in hospitals of Kashan, Iran

et al. 2017

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“…[19]. In this study, the number of errors of driving task was calculated because of some reasons: (1) driving errors to involve risky behaviors that we need to understand to prevent accidents and fatalities [20]. In addition, many studies had shown that the number of errors has a sensitive to differences in the visual environment [21,22].…”

Section: Work Performance and Mental Workload Measuresmentioning

confidence: 99%

“…With the low cost and the ease of administration, as well as adaptability, have been found highly useful in driving tasks [20,23]. In this study, subjective ratings NASA-TLX [24] was used to evaluate the driver's MWL because of there are many studies successfully applied to measure MWL in the driving [8,9].…”

Section: Work Performance and Mental Workload Measuresmentioning

confidence: 99%

“…Eye fixation duration is also extensively used measures and is believed to increase with increasing mental task demands [34]. Recently, fixation duration and the number of fixations have also been investigated in a series of studies about driver hazard perception and they found that increased fixation durations during hazardous moments, indicating increased MWL [20].…”

Section: Work Performance and Mental Workload Measuresmentioning

confidence: 99%

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Predicting Driver’s Work Performance in Driving Simulator Based on Physiological Indices

Tran

Habiyaremye

et al. 2017

Intelligent Human Computer Interaction

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Abstract.Developing an early warning model based on mental workload (MWL) to predict the driver's performance is critical and helpful, especially for new or less experienced drivers. This study aims to investigate the correlation between human's MWL and work performance and develop the predictive model in the driving task using driving simulator. The performance measure (number of errors), subjective rating (NASA Task Load Index) as well as six physiological indices were assessed and measured. Additionally, the group method of data handling (GMDH) was used to establish the work performance model. The results indicate that different complexity levels of driving task have a significant effect on the driver's performance, and the predictive performance model integrates different physiological measures shows the validity of the proposed model is well with R 2 = 0.781. The proposed model is expected to provide a reference value of their work performance by giving physiological indices. Based on this model, the driving lesson plans will be proposed to sustain the appropriate MWL as well as improve work performance.

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The Passenger Effect: Risky Driving is a Function of the Driver‐Passenger Emotional Relationship

Megías

Cândido

Catena

et al. 2013

Applied Cognitive Psychology

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This research focused on the influence of imaginary passengers on drivers' estimation of the probability of having an accident in traffic situations. Participants had to imagine riding a motorcycle with either a son or a workmate as a passenger. Their task was to assess the risk of accident in a set of traffic scenarios. Risk perception was a function of sex and type of passenger. Women perceived higher risk when the passenger was a son than when a workmate. In contrast, men's estimations were rather the same for both passengers. The emotional significance of the consequences of the accident (losing a son vs. losing a workmate) modulate the perception of probability of having an accident. Finally, these results could help in designing more effective campaigns promoting road safety.

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Risk behaviour and mental workload: Multimodal assessment techniques applied to motorbike riding simulation

Cited by 99 publications

References 21 publications

Assessment of workload effect on nursing occupational accidents in hospitals of Kashan, Iran

Assessment of workload effect on nursing occupational accidents in hospitals of Kashan, Iran

Predicting Driver’s Work Performance in Driving Simulator Based on Physiological Indices

The Passenger Effect: Risky Driving is a Function of the Driver‐Passenger Emotional Relationship

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