An Eye for the Air Traffic Controller Workload

Ahlström, Ulf

doi:10.5399/osu/jtrf.46.3.676

Cited by 4 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The richness of its output and its capability for real-time monitoring can aid applications ranging from theoretical investigations of human attentional characteristics under various conditions of cognitive load or other states, to assessing the quality of engagement with different human-machine interface conceptual designs and actual implementations [37]. Furthermore, it can increase the practicality and relative cost-effectiveness of operator monitoring systems in aviation [80], air traffic control [1,75], and power plant systems [74,76]. It can also address the increasing safety needs of drivers as they shift from primarily active driving to roles involving more system monitoring [34,49,57,58].…”

Section: Discussionmentioning

confidence: 99%

CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild

Ding,

Terwilliger,

Parab

et al. 2023

ACM Trans. Comput.-Hum. Interact.

View full text Add to dashboard Cite

Non-intrusive, real-time analysis of the dynamics of the eye region allows us to monitor humans’ visual attention allocation and estimate their mental state during the performance of real-world tasks, which can potentially benefit a wide range of human-computer interaction (HCI) applications. While commercial eye-tracking devices have been frequently employed, the difficulty of customizing these devices places unnecessary constraints on the exploration of more efficient, end-to-end models of eye dynamics. In this work, we propose CLERA, a unified model for Cognitive Load and Eye Region Analysis, which achieves precise keypoint detection and spatiotemporal tracking in a joint-learning framework. Our method demonstrates significant efficiency and outperforms prior work on tasks including cognitive load estimation, eye landmark detection, and blink estimation. We also introduce a large-scale dataset of 30k human faces with joint pupil, eye-openness, and landmark annotation, which aims to support future HCI research on human factors and eye-related analysis.

show abstract

Section: Discussionmentioning

confidence: 99%

CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild

Ding,

Terwilliger,

Parab

et al. 2023

ACM Trans. Comput.-Hum. Interact.

View full text Add to dashboard Cite

show abstract

“…Managing workload is critical to the tower control function and can be considered as "the total cognitive effort an operator must exert to perform a task" (Ahlstrom 2007). Workload is a function of task requirements, environmental factors, and individual factors (Hart and Staveland 1988).…”

Section: The Role Of the Air Traffic Controllermentioning

confidence: 99%

“…Effective interaction between human operators and decision support technology affects efficiency within operational environments, and as such, developing a deeper understanding of human behavior during optimization problem solving may add value to the development of DSS in joint-cognitive systems (Kefalidou 2017;MacGregor and Ormerod 1996). While there is a considerable foundation of work focused on air traffic control relating to topics including, but not limited to, workload (Ahlstrom 2007;Corradini and Cacciari 2002), situation awareness (Edwards et al 2016;Friedrich et al 2018;van de Merwe et al 2012), and decision-making behavior (Corver and Grote 2016;Karikawa et al 2014), factors influencing performance and strategies employed by humans engaged specifically in optimization problem solving are less understood (Kefalidou and Ormerod 2014). This work seeks to enhance the body of knowledge related to human behavior and performance in vehicle routing optimization tasks as practiced in for tower control applications.…”

Section: Introductionmentioning

confidence: 99%

Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach

et al. 2018

View full text Add to dashboard Cite

As airport resources are stretched to meet increasing demand for services, effective use of ground infrastructure is increasingly critical for ensuring operational efficiency. Work in operations research has produced algorithms providing airport tower controllers with guidance on optimal timings and sequences for flight arrivals, departures, and ground movement. While such decision support systems have the potential to improve operational efficiency, they may also affect users' mental workload, situation awareness, and task performance. This work sought to identify performance outcomes and strategies employed by human decision makers during an experimental airport ground movement control task with the goal of identifying opportunities for enhancing user-centered tower control decision support systems. To address this challenge, thirty novice participants solved a set of vehicle routing problems presented in the format of a game representing the airport ground movement task practiced by runway controllers. The games varied across two independent variables, network map layout (representing task complexity) and gameplay objective (representing task flexibility), and verbal protocol, visual protocol, task performance, workload, and task duration were collected as dependent variables. A logistic regression analysis revealed that gameplay objective and task duration significantly affected the likelihood of a participant identifying the optimal solution to a game, with the likelihood of an optimal solution increasing with longer task duration and in the less flexible objective condition. In addition, workload appeared unaffected by either independent variable, but verbal protocols and visual observations indicated that high-performing participants demonstrated a greater degree of planning and situation awareness. Through identifying human behavior during optimization problem solving, the work of tower control can be better understood, which, in turn, provides insights for developing decision support systems for ground movement management.

show abstract

“…• Control de tráfico aéreo (Ahlstrom, 2007;Baumgartner, Gottesheim, Mitsch, Retschitzegger y Schwinger, 2010;Denford, Steele, Roy y Kalantzis, 2004;Farley, Hansman, Endsley, Amonlirdviman y Vigeant-langlois, 1998;Wickens, 2002).…”

Section: Sa En Otros áMbitos De La Psicologíamentioning

confidence: 99%

Diseño y validación de una prueba de selección para controladores de tráfico marítimo basada en la medida de la conciencia situacional

Cordon

Olivier

Sedeño

et al. 2014

Revista de Psicología del Trabajo y de las Organizaciones

View full text Add to dashboard Cite

En este artículo se resalta la necesidad de contar con un test fiable para la selección de futuros operadores en los servicios de tráfico marítimo. Se presenta el proceso de creación del Situation Awareness Test for Vessel Traffic Services (SAT-VTS) [Prueba de Conciencia Situacional para Servicios de Tráfico Marítimo]. Se expone la base teórica sobre la que descansa la prueba, que es la conciencia situacional, y el proceso de su construcción y validación, para lo que se utilizó una prueba de jueces expertos y posteriormente una muestra de posibles futuros candidatos (N = 138), alumnos

show abstract

An Eye for the Air Traffic Controller Workload

Cited by 4 publications

References 11 publications

CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild

CLERA: A Unified Model for Joint Cognitive Load and Eye Region Analysis in the Wild

Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach

Diseño y validación de una prueba de selección para controladores de tráfico marítimo basada en la medida de la conciencia situacional

Contact Info

Product

Resources

About