Operator Information Acquisition in Excavators – Insights from a Field Study Using Eye-Tracking

Koppenborg, Markus; Huelke, Michael; Nickel, Peter; Lungfiel, Andy; Naber, Birgit

doi:10.1007/978-3-319-39399-5_30

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…For example, ref. [29] investigated the use of mirrors for eye tracking during work at construction sites. Surprisingly, they found something different than expected: the operator spent less than 7% of his attention on the display.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, in the study of [29] relevant information was obtained for reversing movements in crawlers and wheeled excavators by using mirrors during regular work on construction; most of the studies in their review dealt with the importance of helping workers become accustomed to the measurement equipment prior to data collection, the use of written informed consents, and approval of data collection protocols; thus, they explored the means that allow establishing safer behaviors and helping to reduce accidents by increasing levels of SA in drivers via assistance tools.…”

Section: Authormentioning

confidence: 98%

“…The primary category of industrial vehicles considered in studies on SA included covered forestry harvesters, wheel loaders, excavators, dump trucks, wheeled excavators, mobile cranes [18], truck platooning [27], forklifts [28], and crawler and wheeled excavators [29,30]. The commercial vehicles were mainly passenger and goods vehicles [31][32][33][34], school vehicles [35], and automated vehicles [36][37][38].…”

Section: Demographic Analysis Of the Experimentsmentioning

confidence: 99%

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Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review

Arias-Portela,

Mora-Vargas,

Caro

2024

Applied Sciences

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The conceptual framework for assessing the situational awareness (SA) of drivers consists of three hierarchical levels: perception of the elements of the environment, comprehension of the elements, and decision-making in the near future. A common challenge in evaluating SA is the determination of the available subjective and objective techniques and their selection and integration into methodologies. Among the objective techniques, eye tracking is commonly used, considering the influence of gaze behavior on driving. This review is presented as an innovative approach to the subject matter, introducing physiological metrics based on eye tracking and investigating their application in assessing the SA of drivers. In addition, experiments and methodologies that revealed patterns at the three levels of SA were identified. For this purpose, databases were searched, and 38 papers were considered. Articles were clustered according to prevalent themes such as eye-tracking metrics, eye-tracking devices, experiment design, and the relationship between SA and eye-tracking. This review summarizes the main metrics and key findings for each article and reveals a wide relationship between the eye-tracking metrics and SA. The influence of appropriately calibrated equipment, refined data collection protocols, and adequate selection of the eye-tracking metrics was examined. Further reviews are needed to systematically collect more evidence.

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Section: Discussionmentioning

confidence: 99%

Section: Authormentioning

confidence: 98%

Section: Demographic Analysis Of the Experimentsmentioning

confidence: 99%

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Situational Awareness Assessment of Drivers Boosted by Eye-Tracking Metrics: A Literature Review

Arias-Portela,

Mora-Vargas,

Caro

2024

Applied Sciences

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“…Interaction in heavy vehicles is significantly different to automobiles. In heavy vehicles, the focus is on performing a task rather than on driving per se [5,7]. The operator is often a professional, sometimes trained to operate the vehicle.…”

Section: Introductionmentioning

confidence: 99%

1st workshop on user interfaces for heavy vehicles

Wallmyr

Sitompul

Chuang

2019

Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct

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There are more types of vehicles than the automobile. Many are used for purposes other than transporting passengers or goods. They are often dedicated to enable the user in performing specific manual tasks, in parallel to driving. Such heavy vehicles range from construction vehicles, such as excavators and articulated haulers, to agriculture vehicles, such as tractors and harvesters. They also include speciality vehicles such as lifts and cranes. Recent advances in information technology radically increases their productivity and safety. Moreover, heavy vehicles are increasingly sensor and software-driven, as well as connected and integrated with information systems. This development creates new interaction challenges and research areas. The aim of this workshop is to gather practitioners, researchers, and professionals who wish to explore the potential opportunities, identify research challenges, and innovate in the domain of heavy vehicles.

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