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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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Cognitivism01:17

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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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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Visual System01:26

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Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
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Parallel Processing01:20

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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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Cognitive psychologist Richard Lazarus proposed the cognitive-mediational theory of emotions, which emphasizes how individuals' assessments of stressors significantly affect their experience of stress. According to Lazarus, the stress response is determined by a two-step appraisal process: primary appraisal and secondary appraisal. These cognitive appraisals help individuals evaluate the potential impact of a stressor and determine the adequacy of their coping resources.
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Related Experiment Video

Updated: Mar 14, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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SHC: Deeply Activating Human-Like Cognitive Ability for Visual Question Answering.

Fengjuan Wang, Zhenxue Wang, Gaoyun An

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 12, 2026
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    Summary
    This summary is machine-generated.

    A new Systematic Human-like Cognitive (SHC) method enhances visual question answering by modeling human cognition. SHC improves multi-modal understanding and fine-grained visual perception.

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    Area of Science:

    • Artificial Intelligence
    • Cognitive Science
    • Computer Vision

    Background:

    • Human cognition relies on complex information processing, but current AI models often study processes in isolation.
    • Large language models (LLMs) have advanced language understanding, yet visual information processing remains a challenge.

    Purpose of the Study:

    • To propose a Systematic Human-like Cognitive (SHC) method for visual question answering (VQA).
    • To enhance multi-modal understanding by systematically modeling human cognitive processes.

    Main Methods:

    • SHC models human cognition through three modules: Hierarchical Perception (HPM), Semantic Refinement (SRM), and Dynamic Reasoning (DRM).
    • HPM extracts hierarchical features, SRM refines semantics using cascaded attention, and DRM fuses features for unified representation.
    • The fused representation is used with text input in an LLM for reasoning.

    Main Results:

    • SHC achieves competitive performance on VQA benchmarks (VQA-v2, Text-VQA, GQA, ScienceQA).
    • It shows strong results on multimodal benchmarks (POPE, MMB, MME, MM-Vet).
    • SHC demonstrates superior fine-grained visual perception and outperforms larger models on some tasks.

    Conclusions:

    • The SHC method effectively simulates human cognitive mechanisms for improved VQA.
    • SHC offers a promising approach for advancing multi-modal understanding and visual perception in AI.