기초 심리학 이론을 탐구하고 이들이 치료, 교육 및 기타 다양한 분야에서 어떻게 적용되는지 알아보세요. 시각화 및 상호 작용 경험을 통해 심리학 연구의 결과와 직접적으로 교감하며 인간의 마음과 행동의 신비를 풀어보세요.
Cognitive psychology explores how we acquire, process, store, and use information. It covers attention, perception, memory, learning, thinking, language, and decision-making, among other topics.
Below is a more concise list of well-known experiments, grouped by their main cognitive or behavioral functions. In practice, researchers often adapt or combine these paradigms for cross-disciplinary investigations.
To provide a clearer overview, the following categorizes commonly used experimental tools in the previously mentioned fields and provides some operational or measurement indicators. In practice, researchers adapt, combine, or apply these paradigms across disciplines based on specific hypotheses or research questions.
The N-Back Task
: Gradually increasing difficulty (e.g., 1-back, 2-back, 3-back) to test working memory.힉의 법칙 실험
: Decision time increases logarithmically with the number and complexity of choices.스트룹 효과 실험
: Tests conflict between color naming and word meaning, assessing automatic processing and cognitive control.아이오와 도박 과제
: Assesses risk-taking and reward-punishment learning.The Wisconsin Card Sorting Test (WCST)
: Examines abstraction, learning, and rule switching.The Negative Priming Experiment
: Investigates the suppression of stereotypes or biases and subsequent processing interference.As neuroscience and technology progress, traditional experiments are increasingly enhanced with brain imaging, physiological measures, and AI-powered analytics, offering deeper insights into the biological and computational basis of cognition and behavior. Emerging technologies such as virtual reality (VR), wearable devices, the Internet of Things (IoT), and smartphone-based data collection are expanding the scope, scalability, and ecological validity of psychological research. AI systems further enable real-time data analysis and adaptive experimentation, while IoT devices provide continuous, context-rich behavioral monitoring.
Cross-disciplinary approaches are also gaining traction, integrating social, developmental, clinical, cognitive, and computational perspectives. This convergence facilitates the development of new experimental paradigms, improves data-driven insights, and enhances predictive models of human behavior.
The library of tasks will continue to grow, reflecting these technological advances and methodological innovations. We hope this resource inspires curiosity and supports a deeper understanding of the extraordinary complexity of the human mind, encouraging researchers to leverage these tools for broader and more impactful discoveries.