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関連する概念動画

Decision Making01:20

Decision Making

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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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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Subliminal Perception01:15

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Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
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Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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Parallel Processing01:20

Parallel Processing

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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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思考が知覚的な意思決定から遠ざかっていることを推論する.

Cathy Zhang1, Wouter Kool2

  • 1Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO, USA. cathyz@wustl.edu.

Communications psychology
|February 19, 2026
PubMed
まとめ

研究者は,タスク中にマインド・ウォーレンディング (MW) を追跡するためのコンピューティングモデルを開発しました. この方法は,参加者を邪魔することなく,試験ごとに注意のシフトを測定し,認知状態に関する新しい洞察を提供します.

科学分野:

  • 認知心理学とは,認知心理学である.
  • 神経科学は神経科学である.
  • コンピューティング・モデリング

背景:

  • 集中した注意力を維持することは,目標達成に不可欠ですが,注意はしばしば,マインド・ウォーキング (MW) により失われます.
  • 思考探知器のような伝統的な方法は,頻度が少なく,破壊的であり,他のテクニックは,固定されたオンタスク/オフタスクの時間分割を想定しています.
  • 認知作業中にMWを測定するための継続的な,非侵入的方法が必要である.

研究 の 目的:

  • マインド・ウォーキングを推論するためのコンピューティング・フレームワークを開発し,検証する.
  • 注意状態の時間的変化を追跡するために計算モデリングを使用する可能性を評価する.
  • 破壊的な思考探査に頼らずに,MWダイナミクスのより細かい理解を提供するために.

主な方法:

  • 操作された証拠と反復応答バイアスのランダムなドットモーションタスクが採用されました.
  • 一般化された線形モデル (GLM-HMM) の隠されたマルコフモデル (Hidden Markov Model with Generalized Linear Models) が参加者のパフォーマンスデータに組み込まれました.
  • 偶発的な思考探査は,内部状態のモデルの分類を検証するために使用されました.

主要な成果:

さらに関連する動画

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関連する実験動画

Last Updated: Feb 21, 2026

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Published on: July 5, 2015

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  • オフタスク試験の特徴は,より高い精度とより短い反応時間であり,刺激の処理が低下し,応答バイアスへの依存が増加したことを示しています.
  • 2つの状態のGLM-HMMは,オフタスクの期間中に反応時間が短いことを成功裏に予測しました.
  • このモデルは,タスクの過程でマインド・ウォーキングの増加を明らかにし,自己報告のフォーカスレベルと相関していました.

結論:

  • コンピューティング・モデリング,特にGLM-HMMは,注意状態の試行別変動を効果的に測定することができます.
  • このアプローチは,認知作業を中断することなく,マインド・ウォーキングの継続的な評価を可能にします.
  • この発見は,注意力と認知制御のダイナミクスを研究するための新しい道を開きます.