Special Section: Contending with Complexity: Developing and Using a Scaled World in Applied Cognitive Research

Ehret, Brian D.; Gray, Wayne D.; Kirschenbaum, Susan S.

doi:10.1518/001872000779656606

Cited by 41 publications

(25 citation statements)

References 10 publications

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“…ACT-R is a cognitive architecture that describes goal-directed behavior (Anderson & Lebiere, 1998;Ehret, Gray, & Kirschenbaum, 2000). The components of the cognitive system (i.e., goal, declarative memory, perceptual, and motor modules) contain information that production rules (conditional statements ‗if…then') use to carry out a cognitive operation (e.g., problem…”

Section: Computational Accountsmentioning

confidence: 99%

“…Collections of production rules (like action-plans) are formed to carry out a specific task and retrieved via a pattern-recognition system that matches the task demands to previously stored productions. ACT-R has been successfully applied to model behavior in realistic CDC task domains that include navigation of a submarine by submarine-trained officers (Ehret et al, 2000), operating radar control systems (Gray, Schoelles, & Myers, 2002), and air traffic control (Taagten & Lee, 2003).…”

Section: Computational Accountsmentioning

confidence: 99%

See 1 more Smart Citation

Controlling uncertainty: A review of human behavior in complex dynamic environments.

Osman

2010

Psychological Bulletin

186

160

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Complex dynamic control tasks (CDC tasks) are a type of problem-solving environment used for examining many cognitive activities (e.g., attention, control, decision making, hypothesis testing, implicit learning, memory, monitoring, planning, and problem solving). Because of their popularity, there have been many findings from diverse domains of research (Economics, Engineering, Ergonomics, Human Computer Interaction (HCI), Management, Psychology), which remain largely disconnected from each other. The objective of this article is to review theoretical developments and empirical work on CDC tasks, and to introduce a novel framework (Monitoring and Control framework) as a tool for integrating theory and findings. The main thesis of the Monitoring and Control framework is that CDC tasks are characteristically uncertain environments, and subjective judgments of uncertainty guide the way in which monitoring and control behaviors attempt to reduce it. The article concludes by discussing new insights into continuing debates and future directions for research on CDC tasks. Controlling Uncertainty 3Key words: Monitoring, Control, Uncertainty, Dynamic, Complex tasks, Causality, Agency Controlling Uncertainty 4Controlling Uncertainty: A Review of Human Behavior in Complex Dynamic Environments Problem solving is regarded by many (Anderson & Lebiere, 1998;Laird, Newell, & Rosenbloom, 1987;Newell & Simon, 1972;Sweller, 2003) as the most important cognitive activity in everyday and professional contexts, especially problem solving of the kind needed to control complex dynamic environments. As the complexity of the systems that we interact with in our daily lives grows (e.g., phones, computers, automated driving systems) so too does the importance of research on how we learn to control dynamic environments. Before detailing the issues surrounding the various research domains that investigate control behaviors, the illustrations below provide a general flavor of the kind of real world and laboratory tasks in which control behaviors have been studied. Illustration 1: Ecosystem Control System. In a laboratory-based task, people are presented with a simulated environment of an African landscape with different flora and fauna. The goal is to manage the environment in order to improve the living conditions of the native population.This involves controlling the system over several weeks by managing many interconnected variables that have a complex feedback process, both negative and positive, and with time delays.Illustration 2: Automated Pilot System. Trained pilots are required to take part in flight scenarios (including take-off and landing) in a flight simulator, in which they control the system while responding to a variety problems, including delays between their commands and their actual execution in the system, failings in the system, and miscued problems from the control panel. Controlling Uncertainty 5Illustration 3: Solid Incineration Plant. A municipal solid waste incineration plant is a largescale industrial syste...

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Section: Computational Accountsmentioning

confidence: 99%

Section: Computational Accountsmentioning

confidence: 99%

Controlling uncertainty: A review of human behavior in complex dynamic environments.

Osman

2010

Psychological Bulletin

186

160

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show abstract

“…In particular, the time-dependent covariates are highly relevant in on-road studies, given the fact that there is typically less control in such studies than in simulator studies. More generally, as researchers consider the interplay of multiple psychological processes in describing complex adaptive behaviour, the need to consider time-dependent covariates will grow (Ehret et al 2000, Brehmer 2005). …”

Section: Discussionmentioning

confidence: 99%

Accounting for time-dependent covariates in driving simulator studies

Donmez

Boyle

Lee

2008

Theoretical Issues in Ergonomics Science

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“…Ned is a small-scale submarine control room simulation (Ehret, Gray, & Kirschenbaum, 2000). While it provides the functionality to perform all the functions necessary to locate a contact, all of the data on the contact are simulated.…”

Section: Methodsmentioning

confidence: 99%