Automation and the situation awareness of drivers in agricultural semi-autonomous vehicles

Bashiri, Behzad; Mann, Danny

doi:10.1016/j.biosystemseng.2014.06.002

Cited by 34 publications

(10 citation statements)

References 19 publications

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“…For situation awareness, the situation awareness global assessment technique (SAGAT) and the situation awareness rating technique (SART) are popular measuring tools for situation awareness [24][25][26]. SAGAT was commonly used in the process of an experiment [33], and SART was often used for post hoc evaluation [34].…”

Section: Materials and Procedurementioning

confidence: 99%

“…Specifically, attention demand is a combination of the instability of situation, the complexity of situation, and the variability of situation; attention supply is a combination of the arousal of situation, the concentration of attention, the division of attention, and the spare mental capacity; situation understanding is the combination of the quantity of information, the quality of information, and the degree of familiarity. By using a group score, the score of SA was calculated by the following formula [24]:…”

Section: Materials and Procedurementioning

confidence: 99%

“…e Situation Awareness Global Assessment Technique (SAGAT) [22] and the Situation Awareness Rating Technique (SART) [23] have been widely used for the measurement of situation awareness [24][25][26].…”

Section: Introductionmentioning

confidence: 99%

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Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour

Wang

Yang

et al. 2020

Journal of Advanced Transportation

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This study aims to analyze the effect of high-altitude environment on drivers’ mental workload (MW), situation awareness (SA), and driving behaviour (DB), and to explore the relationship among those driving performances. Based on a survey, the data of 356 lowlanders engaging in driving activities at Tibetan Plateau (high-altitude group) and 341 lowlanders engaging in driving activities at low altitudes (low-altitude group) were compared and analyzed. The results suggest that the differences between the two groups are noteworthy. Mental workload of high-altitude group is significantly higher than that of low-altitude group, and their situation awareness is lower significantly. The possibility of risky driving behaviours for high-altitude group, especially aggressive violations, is higher. For the high-altitude group, the increase of mental workload can lead to an increase on aggressive violations, and the situation understanding plays a full mediating effect between mental workload and aggressive violations. Measures aiming at the improvement of situation awareness and the reduction of mental workload can effectively reduce the driving risk from high-altitude environment for lowlanders.

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Section: Materials and Procedurementioning

confidence: 99%

Section: Materials and Procedurementioning

confidence: 99%

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Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour

Wang

Yang

et al. 2020

Journal of Advanced Transportation

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“…A primary use for agricultural simulators is in their use as a tool to evaluate operator performance and novel agricultural technologies (Bashiri and Mann, 2014;Duncan and Turner, 1991;Mann et al, 2014). Research in this area though is still relatively scarce which leaves opportunity to evaluate innovative technologies prior to their release within particular markets.…”

Section: Non-automotive Simulatorsmentioning

confidence: 99%

Evaluating operator harvest technology within a high-fidelity combine simulator

Meusel

Kieu

Gilbert

et al. 2018

Computers and Electronics in Agriculture

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Farming today is more complex than it has ever been. Operators are increasingly reliant on technology to aid and improve harvest performance. New harvest technology is under development that will advise harvest operators on the proper adjustment of machine harvest settings, as well as automatically adjust these machine settings without operator intervention, improving the harvest performance of the machine, and reducing the cognitive load of the operator. In this work a high-fidelity, interactive harvest combine simulator is used to understand how harvest operators currently use existing harvest technology, and to evaluate the performance improvements provided by new prototype machine control algorithms and human control interface designs. The interactive harvest simulator is used to assess an intermediate advising step for machine controls adjustment compared with a path using fully autonomous machine adjustment. Testing novel harvest technologies using the virtual environment of the combine simulator introduces a specific set of constraints and challenges that are not found in most other vehicle simulation applications, including the need for accurate physical and visual crop flow representations and a requirement for realistic machine responses to a wide variety of operator input commands. Using a high-fidelity combine simulator for testing allows unique harvest scenarios to be repeated by experienced operators in a controlled virtual environment. This study evaluates operator acceptance, performance, and feedback for two novel pieces of harvest technology, Advisor and Director. Advisor is an operator-in-the-loop system providing feedback on proper machine control adjustments during normal harvest operations. Director is designed to continuously monitor the overall harvest health and autonomously adjust the combine harvest settings. In this study, operators harvested the same virtual field twice, first using Advisor, and a second time using Director. Operators overwhelmingly perceived both the Advisor and Director systems as optimizing the harvest performance of the combine and recommended both Advisor and Director. The results presented in this work show that both systems improved the perceived harvest performance, although the Advisor was not as highly rated. Participants recommended the automated nature of Director, and both operator feedback and physiological measures indicates that this harvest technology reduced the cognitive load of the operator. This work demonstrates two main points. First, the interactive combine simulator can be used for evaluating novel harvest technology in the lab. Second, that operators can quickly acclimate to automation within the combine and were able to harvest in a more productive manner when using higher levels of automation.

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“…Driving and control of agricultural machinery during different operations for crop cultivation is a stressing activity, from both physical and mental points of view. Specifically, with regard to tractors, the driver undergoes a number of movements which mainly involve the upper part of the body: steering, looking forward, backward, controlling the monitor or the vehicle's dashboard, using clutch, brake, control levers or joystick [1]. In the long term such activity could generate physical health problems in different part of the body, such as arms, neck, shoulders, back or head.…”

Section: Introductionmentioning

confidence: 99%

Tractor cabin ergonomics analyses by means of kinect motion capture technology

Marinello¹,

Pezzuolo²,

Simonetti³

et al. 2015

ces

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Kinect is the de facto standard for real-time depth sensing and motion capture cameras. The sensor is here proposed for exploiting body tracking during driving operations. The motion capture system was developed taking advantage of the Microsoft software development kit (SDK), and implemented for real-time monitoring of body movements of a beginner and an expert tractor drivers, on different tracks (straight and with curves) and with different driving conditions (manual and assisted steering). Tests show how analyses can be done not only in terms of absolute movements, but also in terms of relative shifts, allowing for quantification of angular displacements or rotations.

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Automation and the situation awareness of drivers in agricultural semi-autonomous vehicles

Cited by 34 publications

References 19 publications

Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour

Effect of High-Altitude Environment on Driving Safety: A Study on Drivers’ Mental Workload, Situation Awareness, and Driving Behaviour

Evaluating operator harvest technology within a high-fidelity combine simulator

Tractor cabin ergonomics analyses by means of kinect motion capture technology

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