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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Related Experiment Video

Updated: Apr 3, 2026

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
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Supporting productive thinking: The semiotic context for Cognitive Systems Engineering (CSE).

John Flach1

  • 1Psychology Department, Wright State University, USA.

Applied Ergonomics
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Summary

This paper argues that Jens Rasmussen

Keywords:
Abstraction HierarchyCognitive Systems EngineeringDecision LadderEcological Interface DesignProactive Risk ManagementSkills-Rules-Knowledge ModelWork domain analysis

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Area of Science:

  • Cognitive Systems Engineering
  • Human-Computer Interaction
  • Semiotics

Background:

  • Jens Rasmussen's work significantly influenced Cognitive Systems Engineering.
  • His framework integrated diverse theories like Control Theory and Ecological Psychology.
  • Key constructs include Abstraction Hierarchy and Skill-Rules-Knowledge Model.

Purpose of the Study:

  • To demonstrate that Rasmussen's approach to Cognitive Systems Engineering was framed by a Triadic Semiotic Model.
  • To establish this semiotic framework as essential for understanding Rasmussen's core concepts.
  • To highlight the integration of multiple intellectual threads within this framework.

Main Methods:

  • Analysis of Rasmussen's foundational work and theoretical underpinnings.
  • Examination of the Triadic Semiotic Model as a unifying framework.
  • Tracing the integration of Control Theory, Information Theory, Ecological Psychology, and Gestalt Psychology.

Main Results:

  • Rasmussen's Cognitive Systems Engineering approach is fundamentally rooted in a Triadic Semiotic Model.
  • This model provides the essential context for understanding his key constructs.
  • The framework successfully integrates diverse theoretical perspectives.

Conclusions:

  • The Triadic Semiotic Model is crucial for a comprehensive understanding of Rasmussen's contributions to Cognitive Systems Engineering.
  • Recognizing this semiotic foundation enhances the appreciation of concepts like Abstraction Hierarchy and Ecological Interface Design.
  • This perspective offers a coherent view of Rasmussen's integrated theoretical framework.