Perceptual Control Theory and Ecological Interface Design: Lessons Learned from the Contgrol Display Unit

Chery, Sandra; Vicente, Kim J.; Farrell, Philip S. E.

doi:10.1177/154193129904300404

Cited by 6 publications

(4 citation statements)

References 4 publications

(8 reference statements)

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“…The theories describe the interactions between individual and complex tasks in terms of a naturalistic dynamic decision-making process. For example, Vicente’s (Chéry, Vicente, & Farrell, 1999; Jamieson, Miller, Ho, & Vicente, 2007; Vicente & Wang, 1998) work examines human–computer interaction in industrial scale control systems (nuclear power plant, petrochemical production, radio communication, thermo-hydraulic processor).…”

Section: Theories Of Cdc Task Behaviormentioning

confidence: 99%

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

Osman

2010

Psychological Bulletin

187

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: Theories Of Cdc Task Behaviormentioning

confidence: 99%

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

Osman

2010

Psychological Bulletin

187

160

View full text Add to dashboard Cite

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“…Unfortunately, EID displays developed to show functional, high-level relationships in aviation have been largely limited to proofs-of-concept (Dinadis andVicente, 1999, Chery, Vicente, andFarrell, 1999). Further, displays developed in this fashion were typically not implemented in a simulator, and thus did not provide the opportunity for empirical evaluation.…”

mentioning

confidence: 99%

The Effect of Functional Information in an Avionics Display

Smith

Boehm‐Davis

Chong

2004

Proceedings of the Human Factors and Ergonomics Society Annual

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Allowing pilots to directly perceive the functional properties of flight may improve piloting performance. This study examines differences in piloting performance between a flight display (OZ) that displays a functional relationship between power and airspeed and a conventional Cessna display. Eight pilots performed flight maneuvers on a fixed base flight simulator over six trials per display. Pilots' performance with the functional display (OZ) showed greater control of power and reduced individual differences. The role of functional information and its implementation in future aviation displays are discussed.

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“…Many models are groundbreaking in characterizing complex troubleshooting as a distinct breed of inquiry, different in kind not just degree from well-structured problem solving procedures -a view that guides our own research (Mirel, 2003). These models capture complex problem solving's distinct socio-cognitive processes of data analysis, qualitative and quantitative reasoning, judgment under uncertainty, and domain-based knowledge work (Hoc, 2002;Vicente, 1999;Chery et al, 1999;Hollnagel et al, 1999;Rassmussen et al, 1994). Many models represent collaborative processes, as well.…”

Section: Relevant Literaturementioning

confidence: 99%

Targeting the Right Level of Socio-Cognitive Analysis: Complex Problem Solving in High Performance Networks

Mirel

Johnson

Deng

2004

Proceedings of the Human Factors and Ergonomics Society Annual

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Our study focuses on network engineers' experiences when they troubleshoot complex problems in distributed data and communication networks. Currently, these troubleshooters lack truly useful support for this complex problem solving. To identify socio-cognitive demands of this nonroutine troubleshooting, we conducted interviews with advanced network troubleshooters and analyzed transcripts of real time troubleshooting and post-mortem discussions among troubleshooters from diverse domains. Findings show that ad hoc cross domain collaborations are vital to the success of complex troubleshooting and that collaborators need better support for discussing responsibility in human and organizational terms and for recognizing strategic gaps, detailed issues and trade-offs they must negotiate for problem conditions.

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Perceptual Control Theory and Ecological Interface Design: Lessons Learned from the Contgrol Display Unit

Cited by 6 publications

References 4 publications

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

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

The Effect of Functional Information in an Avionics Display

Targeting the Right Level of Socio-Cognitive Analysis: Complex Problem Solving in High Performance Networks

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