This paper presents a theoretical model of situation awareness based on its role in dynamic human decision making in a variety of domains. Situation awareness is presented as a predominant concern in system operation, based on a descriptive view of decision making. The relationship between situation awareness and numerous individual and environmental factors is explored. Among these factors, attention and working memory are presented as critical factors limiting operators from acquiring and interpreting information from the environment to form situation awareness, and mental models and goal-directed behavior are hypothesized as important mechanisms for overcoming these limits. The impact of design features, workload, stress, system complexity, and automation on operator situation awareness is addressed, and a taxonomy of errors in situation awareness is introduced, based on the model presented. The model is used to generate design implications for enhancing operator situation awareness and future directio...

Toward a Theory of Situation Awareness in Dynamic Systems

Objective: This article describes the origins and contributions of the naturalistic decision making (NDM) research approach. Background: NDM research emerged in the 1980s to study how people make decisions in real-world settings. Method: The findings and methods used by NDM researchers are presented along with their implications. Results: The NDM framework emphasizes the role of experience in enabling people to rapidly categorize situations to make effective decisions. Conclusion: The NDM focus on field settings and its interest in complex conditions provide insights for human factors practitioners about ways to improve performance. Application: The NDM approach has been used to improve performance through revisions of military doctrine, training that is focused on decision requirements, and the development of information technologies to support decision making and related cognitive functions.

https://lewebpedagogique.com/audevillemain/files/2013/12/decisionmodelNDM.pdf

Naturalistic Decision Making

This article reports on an effort to explore the differences between two approaches to intuition and expertise that are often viewed as conflicting: heuristics and biases (HB) and naturalistic decision making (NDM). Starting from the obvious fact that professional intuition is sometimes marvelous and sometimes flawed, the authors attempt to map the boundary conditions that separate true intuitive skill from overconfident and biased impressions. They conclude that evaluating the likely quality of an intuitive judgment requires an assessment of the predictability of the environment in which the judgment is made and of the individual's opportunity to learn the regularities of that environment. Subjective experience is not a reliable indicator of judgment accuracy.

https://fiddlemath.net/stuff/conditions-for-intuitive-expertise.pdf

Conditions for intuitive expertise: A failure to disagree.

The enhancement of operator situation awareness (SA) has become a major designgoal for those developing operator interfaces, automation concepts and training programs ina wide variety of fields, including aircraft, air traffic control, power plants, and advancedmanufacturing systems. This dramatic growth in interest in SA, beginning in the mid-1980’s and accelerating through the 1990’s, was spurred on by many factors, chief amongthem the challenges of a new class of technology. One can easily see that situation awareness has always been needed in order forpeople to perform tasks effectively. Prehistoric man undoubtedly needed to be aware ofmany cues in his environment in order to successfully hunt and keep from being hunted.For many years, having good situation awareness was largely a matter of training andexperience — learning the important cues to watch for and what they meant. With the advent of the machine age, our emphasis shifted to creating a new class oftools to help people perform tasks, largely those physical in nature. The computer age andnow the information age have followed rapidly on the heals of basic mechanization. Thetools provided are no longer simple; they are amazingly complex, focused on not justphysical tasks, but elaborate perceptual and cognitive tasks as well. The pilot of today’saircraft, the air traffic controller, the power plant operator, the anesthesiologist: all mustperceive and comprehend a dazzling array of data which is often changing very rapidly. Ihave taken to calling this challenge the information gap (Figure 1).Today’s systems are capable of producing a huge amount of data, both on the statusof their own components, and on the status of the external environment. Due toachievements in various types of datalink and internet technologies, systems can alsoprovide data on almost anything anywhere in the world. The problem with today’s systemsis not a lack of information, but finding what is needed when it is needed.Unfortunately, in the face of this torrent of data, many operators may be even lessinformed than ever before. This is because there is a huge gap between the tons of databeing produced and disseminated and people’s ability to find the bits that are needed andprocess them together with the other bits to arrive at the actual information that is requiredfor their decisions. This information must be integrated and interpreted correctly as well; afrequently tricky task. This problem is real and ongoing, whether the job is in the cockpitor behind a desk. It is becoming widely recognized that more data does not equal moreinformation. Issues of automation and “intelligent systems” have frequently onlyexacerbated the problem, rather than aided it (Endsley & Kiris, 1995; Sarter & Woods,1995).The criteria for what we are seeking from system designs have correspondinglychanged. In addition to designing systems that provide the operator with the neededinformation and capabilities, we must also insure that it is provided in a way that is useablecognitively as well as physically. We want to know how well the system design supportsthe operator’s ability to get the needed information under dynamic operational constraints.(i.e. How well does it bridge the information gap?) This design objective and measure ofmerit has been termed situation awareness.

/pdf/theoretical-underpinnings-of-situation-awareness-a-critical-2zswqslgyi.pdf

Theoretical Underpinnings of Situation Awareness, A Critical Review

A critical decision method is described for modeling tasks in naturalistic environments characterized by high time pressure, high information content, and changing conditions. The method is a variant of a J.C. Flanagan's (1954) critical incident technique extended to include probes that elicit aspects of expertise such as the basis for making perceptual discriminations, conceptual discriminations, typicality judgments, and critical cues. The method has been used to elicit domain knowledge from experienced personnel such as urban and wildland fireground commanders, tank platoon leaders, structural engineers, design engineers, paramedics, and computer programmers. A model of decision-making derived from these investigations is presented as the theoretical background to the methodology. Instruments and procedures for implementing the approach are described. Applications of the method include developing expert systems, evaluating expert systems' performance, identifying training requirements, and investigating basic decision research issues. >

Critical decision method for eliciting knowledge

The objective of this study was to examine the way decisions are made by highly proficient personnel, under conditions of extreme time pressure, and where the consequences of the decisions could af...

Rapid Decision Making on the Fire Ground

[This is an edited version of the original, unpublished 1985 study that identified recognition-primed decision making, with a new commentary added.] The objective of this study was to examine the w...

Anne Clinton-Cirocco

Papers

Rapid Decision Making on the Fire Ground

Rapid Decision Making on the Fire Ground: The Original Study Plus a Postscript