Bus drivers’ mood states and reaction abilities at high temperatures

Sun, Xu; Zhao, Hu; Shen, Feng; Li, Zhenning

doi:10.1016/j.trf.2018.09.022

Cited by 19 publications

(7 citation statements)

References 28 publications

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“…Having made that clear, the results show the influence of air temperature on the work of teachers. In addition, they are consistent with those obtained in previous studies in other sectors (in which Heating, Ventilating and Air Conditioning (HVAC) systems were not evaluated either) which shows how exposure to high temperatures negatively affects the optimal development of work functions [17]. Specifically, it is observed that indoor temperature and the difference between this and the outdoor temperature has a negative influence on the teachers' mood, which, in turn, negatively influence on perception of a students' behavior.…”

Section: Discussionsupporting

confidence: 90%

“…Specifically, within the Mediterranean climate area, there are studies focusing on schools that reflect complaints about high temperatures in primary classrooms during the warmer seasons [11,12]. This particular interest in studying the thermal comfort levels of schools aims to improve the conditions of the indoor spaces in which both teachers and students reside for much of the day [13][14][15] as prolonged exposure to extreme conditions ends up affecting physical, cognitive and mood performance [16,17]. Currently, the scientific evidence shows that Sustainability 2021, 13, 9707 2 of 13 there are associations between student academic performance and type of ventilation system, ventilation rates, fine particle counts, and ozone (O 3 ) and carbon dioxide (CO 2 ) concentrations [18].…”

Section: Introductionmentioning

confidence: 99%

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Influence of Air Temperature on School Teachers’ Mood and the Perception of Students’ Behavior

et al. 2021

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This study investigates how temperature, inside and outside the classroom, influence teachers’ mood and mental fatigue as well as the perceived students’ behavior. Two daily random measurements of the temperature inside various classrooms were taken for 7 months. Mood, mental fatigue, and perception of students’ behavior were evaluated for the teachers. Daily external temperature data were obtained from the State Agency of Meteorology. Results showed that indoor temperature, indoor humidity, and the difference between outdoor/indoor temperature significantly explain a worse perception of mood of the teachers and a worse perception of students’ behavior that influences perception of students’ behavior.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Influence of Air Temperature on School Teachers’ Mood and the Perception of Students’ Behavior

et al. 2021

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“…Temperature, humidity and CO 2 concentration are variables that influence comfort and safety [ 70 ]. Vehicles tend to circulate in areas that are heavily contaminated.…”

Section: Methodsmentioning

confidence: 99%

The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress

Magaña

Scherz²,

Seepold

et al. 2020

Sensors

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Globalization has increased the number of road trips and vehicles. The result has been an intensification of traffic accidents, which are becoming one of the most important causes of death worldwide. Traffic accidents are often due to human error, the probability of which increases when the cognitive ability of the driver decreases. Cognitive capacity is closely related to the driver’s mental state, as well as other external factors such as the CO2 concentration inside the vehicle. The objective of this work is to analyze how these elements affect driving. We have conducted an experiment with 50 drivers who have driven for 25 min using a driving simulator. These drivers completed a survey at the start and end of the experiment to obtain information about their mental state. In addition, during the test, their stress level was monitored using biometric sensors and the state of the environment (temperature, humidity and CO2 level) was recorded. The results of the experiment show that the initial level of stress and tiredness of the driver can have a strong impact on stress, driving behavior and fatigue produced by the driving test. Other elements such as sadness and the conditions of the interior of the vehicle also cause impaired driving and affect compliance with traffic regulations.

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“…DSM systems have traditionally been applied during manual driving scenarios to detect fatigue and inattention. Situations such as night-time driving ( Phipps-Nelson et al, 2011 ), prolonged driving ( Finkleman, 1994 ), and extreme temperatures ( Xianglong et al, 2018 ) can induce fatigue; whereas mobile phones ( Strayer and Drews, 2007 ), in-vehicle systems ( Arexis et al, 2017 ), and eating ( Tay and Knowles, 2004 ) can induce inattention. In a manual driving scenario, a DSM system can use remote sensors to monitor fatigue behaviors such as prolonged eyelid closures and yawning.…”

Section: Introductionmentioning

confidence: 99%

Effects of an Unexpected and Expected Event on Older Adults’ Autonomic Arousal and Eye Fixations During Autonomous Driving

et al. 2020

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Driving cessation for some older adults can exacerbate physical, cognitive, and mental health challenges due to loss of independence and social isolation. Fully autonomous vehicles may offer an alternative transport solution, increasing social contact and encouraging independence. However, there are gaps in understanding the impact of older adults' passive role on safe human-vehicle interaction, and on their well-being. 37 older adults (mean age ± SD = 68.35 ± 8.49 years) participated in an experiment where they experienced fully autonomous journeys consisting of a distinct stop (an unexpected event versus an expected event). The autonomous behavior of the vehicle was achieved using the Wizard of Oz approach. Subjective ratings of trust and reliability, and driver state monitoring including visual attention strategies (fixation duration and count) and physiological arousal (skin conductance and heart rate), were captured during the journeys. Results revealed that subjective trust and reliability ratings were high after journeys for both types of events. During an unexpected stop, overt visual attention was allocated toward the event, whereas during an expected stop, visual attention was directed toward the human-machine interface (HMI) and distributed across the central and peripheral driving environment. Elevated skin conductance level reflecting increased arousal persisted only after the unexpected event. These results suggest that safety-critical events occurring during passive fully automated driving may narrow visual attention and elevate arousal mechanisms. To improve in-vehicle user experience for older adults, a driver state monitoring system could examine such psychophysiological indices to evaluate functional state and well-being. This information could then be used to make informed decisions on vehicle behavior and offer reassurance during elevated arousal during unexpected events.

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Bus drivers’ mood states and reaction abilities at high temperatures

Cited by 19 publications

References 28 publications

Influence of Air Temperature on School Teachers’ Mood and the Perception of Students’ Behavior

Influence of Air Temperature on School Teachers’ Mood and the Perception of Students’ Behavior

The Effects of the Driver’s Mental State and Passenger Compartment Conditions on Driving Performance and Driving Stress

Effects of an Unexpected and Expected Event on Older Adults’ Autonomic Arousal and Eye Fixations During Autonomous Driving

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