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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.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
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Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
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Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

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Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...
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High-Level and Low-Level Awareness01:19

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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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Eye Tracking During A Complex Aviation Task For Insights Into Information Processing
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Methodologies Using Artificial Intelligence to Detect Cognitive Decrements in Aviation Environments.

G Merrill Rice, Steven Linnville, Dallas Snider

    Aerospace Medicine and Human Performance
    |July 11, 2025
    PubMed
    Summary

    Artificial intelligence (AI) and machine learning (ML) can enhance aviation safety by detecting cognitive decrements using biosensors. This technology shows promise for real-time monitoring to mitigate aeromedical hazards.

    Keywords:
    aviation safetycognitive deficitsdenoisinghazard identificationmachine learning

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    Area of Science:

    • Aerospace Engineering
    • Artificial Intelligence
    • Cognitive Science

    Background:

    • U.S. Naval aviation mishap rates remain unchanged despite engineering and safety advancements.
    • Current safety protocols may not adequately address cognitive factors impacting aviator performance.

    Purpose of the Study:

    • To explore the application of artificial intelligence (AI) and machine learning (ML) in enhancing aviation safety.
    • To propose a methodology for developing protocols to detect cognitive decrements in aviators.

    Main Methods:

    • A critical review of aviation research incorporating ML for hazard detection.
    • A three-step methodology: sensor selection, data preprocessing, and ML algorithm development.
    • Utilized natural language processing for denoising and ML algorithm table development.

    Main Results:

    • Psychophysiological biosensors (EEG, ECG, eye-tracking) integrated with ML show potential for identifying cognitive deficits (fatigue, hypoxia, disorientation).
    • Data preprocessing is crucial before ML application for accurate training and classification.
    • Supervised, unsupervised, and semi-supervised ML algorithms, often combined, improve prediction accuracy.

    Conclusions:

    • AI combined with psychophysiological sensors can predict and mitigate aeromedical hazards in simulated environments.
    • Miniaturization of AI hardware is essential for operational, real-time monitoring in aviation.