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Related Concept Videos

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

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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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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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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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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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Concepts and Prototypes01:24

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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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Information Processing Approach01:30

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The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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Differentiating Interpreting Types: Connecting Complex Networks to Cognitive Complexity.

Yumeng Lin1, Duo Xu2, Junying Liang1

  • 1Department of Linguistics, Zhejiang University, Hangzhou, China.

Frontiers in Psychology
|October 4, 2021
PubMed
Summary
This summary is machine-generated.

This study used complex network analysis to compare simultaneous and consecutive interpreting outputs. Consecutive interpreting showed higher connectivity and transitivity, suggesting less vocabulary richness.

Keywords:
cognitive loadcomplex networksholistic featuresinterpreting mechanismsinterpreting types

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Area of Science:

  • Linguistics
  • Computational Linguistics
  • Cognitive Science

Background:

  • Interpreting models often focus on processing mechanisms, but macroscopic analysis of outputs is limited.
  • Complex network analysis offers a novel approach to examine holistic language features in interpreting.

Purpose of the Study:

  • To investigate syntactic dependency networks in simultaneous and consecutive interpreting outputs.
  • To compare network properties and understand underlying mechanisms in different interpreting types.

Main Methods:

  • Analysis of syntactic dependency networks derived from interpreting outputs.
  • Comparison of network metrics such as degree and clustering coefficients.

Main Results:

  • Consecutive interpreting networks exhibit higher degrees and clustering coefficients compared to simultaneous interpreting.
  • Function words play a more central role in consecutive interpreting networks.
  • Findings suggest greater connectivity and transitivity, with lower vocabulary richness in consecutive interpreting.

Conclusions:

  • Complex network analysis provides an integrative framework for understanding interpreting mechanisms.
  • Differences in network properties highlight distinct characteristics of simultaneous and consecutive interpreting outputs.