Effects of light and heavy workload on air traffic tactical operations: a hazard rate model

Kuk, George; Arnold, Martin; Ritter, Frank E.

doi:10.1080/001401399185036

Cited by 13 publications

(10 citation statements)

References 24 publications

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“…This conforms to cognitive studies [17,10] in general, because both S2 and S3 subjects are limited by their cognitive capacities. While monitoring the situation development from the Map Display, at the same time S2 subjects need to process Spot reports under time stress, to recognize/ gather missing information, and to constantly make decisions on when to share information with whom about what.…”

Section: Results Analysissupporting

confidence: 50%

RPD-enabled agents teaming with humans for multi-context decision making

Fan

Sun

et al. 2006

Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems

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Team decision making under stress involving multiple contexts is an extremely challenging issue faced by various real world application domains. This research is targeted at coupling cognitive agent technology and human-centered teamwork to address the informational challenges associated with Command and Control (C2) teams in contemporary military operations. Two sets of experiments, each with various settings of context switching frequencies and tasking complexities, were conducted. To ensure that the human subjects were familiar with the C2 context, they were selected from US Army ROTC (Reserve Officer Training Corps) students. Experiments on C2 teams that involve human subjects only were conducted first. We observed the decision making behavior of human subjects and incorporated expert behaviors into R-CAST-an agent architecture built upon a naturalistic decision making model that captures how domain experts make decisions based on experiences and situational similarity recognition. We then conducted another set of experiments with R-CAST agents as teammates and decision aids for human subjects. The results show that RPD-enabled agents can significantly improve the tasking capacity of C2 teams in multi-context decision making under stress. It also suggests that higher demand situations require more competent teammates.

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Section: Results Analysissupporting

confidence: 50%

RPD-enabled agents teaming with humans for multi-context decision making

Fan

Sun

et al. 2006

Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems

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“…Furthermore, the frequency by which researchers collect workload ratings over time has a practical limit. Traditionally, researchers have collected ratings every 5 min, but shorter 2- (Kuk et al, 1999) and 1-min (Stein, 1985) intervals have also been used for certain applications. We hypothesize that eye movement activity measures, because of their potential for use as workload correlates, could provide more continuous, moment-to-moment measures of workload.…”

Section: Introductionmentioning

confidence: 99%

Using eye movement activity as a correlate of cognitive workload

Ahlström

Friedman-Berg²

2006

International Journal of Industrial Ergonomics

246

136

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“…The task of an air traffic controller can be grouped into three main categories [20]: 1) communication that includes actions or utterances initiated by the tactical controller, such as accept, navigate, hand off, query and negotiate; 2) flight progress activities that deal with the paper strips including manipulation and remove; and 3) radar activities such as tidy the radar screen.…”

Section: The Task and The Taskload Of The Air Traffic Controllermentioning

confidence: 99%

Analysis of the work of air traffic controllers of the approach control area (APP) of Porto Alegre, Brazil

Vargas

Guimarães

Sant’Anna

2012

Work

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This article presents a study on the activities of the air traffic controllers of the Approach Control Area (APP) of Porto Alegre, Brazil, in different real scenarios. Based on interviews, questionnaires and the analysis of film of real scenes, the following were identified and analyzed: i) the perceptions of risk and complexity of the different air traffic scenes observed; ii) the cognitive factors (knowledge, strategy and attention dynamics) involved in the task and iii) the perception of the controller's workload. The results showed that the task complexity depends on the weather conditions, the number and type of aircraft in observation and that the controllers perceive the scenes in a similar way irrespective of their time in the profession and the type of control (radar or coordination). Attention is the cognitive factor with the greatest impact on the work and mental demand has the greatest impact on workload followed by time demand. The literature on the controllers work in Brazil is scarce and, therefore, this study aimed to contribute to the understanding of the work in one APP in order to promote future changes in the very problematic Brazilian air traffic system.

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Effects of light and heavy workload on air traffic tactical operations: a hazard rate model

Cited by 13 publications

References 24 publications

RPD-enabled agents teaming with humans for multi-context decision making

RPD-enabled agents teaming with humans for multi-context decision making

Using eye movement activity as a correlate of cognitive workload

Analysis of the work of air traffic controllers of the approach control area (APP) of Porto Alegre, Brazil

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