Toward a Theory of Situation Awareness in Dynamic Systems

1995 Human Factors The Journal of the Human Factors and Ergonomics Society 8,016 citations

Abstract

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 directions for situation awareness research.

Keywords

Situation awarenessVariety (cybernetics)WorkloadComputer scienceRisk analysis (engineering)AutomationOperator (biology)LimitingKnowledge managementManagement scienceArtificial intelligenceEngineeringBusiness

Affiliated Institutions

Related Publications

focus on forecasting1

A forecast experiment was conducted from 1 June to 12 August 1983 at the Program for Regional Observing and Forecasting Services (PROFS) in Boulder, Colorado.The exercise includ...

1986 Bulletin of the American Meteorologic... 7 citations

Publication Info

Year
1995
Type
article
Volume
37
Issue
1
Pages
32-64
Citations
8016
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

8016
OpenAlex
984
Influential
5831
CrossRef

Cite This

Mica R. Endsley (1995). Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors The Journal of the Human Factors and Ergonomics Society , 37 (1) , 32-64. https://doi.org/10.1518/001872095779049543

Identifiers

DOI
10.1518/001872095779049543

Data Quality

Data completeness: 77%