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Related Concept Videos

Introduction to Cognitive Psychology01:20

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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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Reason and Intuition01:37

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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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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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The human nervous system handles vast amounts of information by translating sensory stimuli into neural impulses, which the brain processes, creating thoughts expressed through language or stored as memories. The brain also synthesizes information from emotions and memories, which significantly influence thoughts and behaviors. This intricate process creates a comprehensive mental picture.
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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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Intuitive Cognition and Models of Human-Automation Interaction.

Robert Earl Patterson1

  • 1Air Force Research Laboratory, Wright-Patterson AFB, Ohio.

Human Factors
|February 2, 2017
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Summary

Human reasoning and decision-making are predominantly intuitive. This finding impacts conceptualizing models and taxonomies for human-automation interaction, suggesting a need for intuitive cognition integration.

Keywords:
decision makinghuman reasoninghuman–computer interactionintuitive cognition

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Area of Science:

  • Cognitive Psychology
  • Human-Computer Interaction
  • Systems Engineering

Background:

  • Human reasoning and decision-making are largely intuitive.
  • Understanding intuitive cognition is crucial for designing effective human-machine systems.

Purpose of the Study:

  • Analyze the implications of intuitive cognition dominance on human-automation interaction models.
  • Focus on the Parasuraman et al. model and taxonomy.
  • Propose a new taxonomy incorporating intuitive cognition.

Main Methods:

  • Conducted a literature review of 120 articles and books.
  • Included works published within the last 50 years.
  • Selected relevant and commonly cited literature.

Main Results:

  • Intuitive cognition consistently dominates human reasoning and decision-making across examined situations.
  • The implications for the Parasuraman et al. model and taxonomy were analyzed.
  • A novel taxonomy for human-automation interaction was proposed.

Conclusions:

  • Understanding the intuitive nature of human cognition is key for future human-automation interaction models.
  • The proposed taxonomy integrates intuitive cognition for improved system design.
  • This research offers insights for developing more effective human-machine systems.