Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Instinctive Drift01:05

Instinctive Drift

942
Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
942
Survival Tree01:19

Survival Tree

451
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
451
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

5.6K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
5.6K
Decision Making01:20

Decision Making

1.1K
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...
1.1K
Decision Making: P-value Method01:09

Decision Making: P-value Method

7.0K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.0K
Genetic Drift03:33

Genetic Drift

44.5K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
44.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same journal

An Eye-Tracking Study on Text Accessibility and Comprehension in University Students.

Behavioral sciences (Basel, Switzerland)·2026
Same journal

The Relationship Between Physical Activity, Social Support, and Life Satisfaction Among Female College Students: A Variable- and Person-Centered Analysis.

Behavioral sciences (Basel, Switzerland)·2026
Same journal

Shifting the Blame: How Narrative Framing, Coercive Strategies, and Rape Myth Acceptance Distort Perceptions of Sexual Assault and Fuel Victim Blame.

Behavioral sciences (Basel, Switzerland)·2026
Same journal

An AI Perspective on Counseling Supervision.

Behavioral sciences (Basel, Switzerland)·2026
Same journal

Symbolic Participation or Substantial Learning Behavior? A PSM-Based Comparison Between Honors and Non-Honors Undergraduates from Two Top Elite Universities in China.

Behavioral sciences (Basel, Switzerland)·2026
Same journal

Literacy Profiles in Twice-Exceptional Preadolescents with Intellectual Giftedness and Dyslexia.

Behavioral sciences (Basel, Switzerland)·2026

相关实验视频

Updated: Feb 28, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.1K

内在的学习而不是外部的困难主导了决策表现:来自漂移-扩散模型和随机森林分析的综合证据.

Yanzhe Liu1,2, Qihan Zhang1,2

  • 1Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300387, China.

Behavioral sciences (Basel, Switzerland)
|February 27, 2026
PubMed
概括

任务难度会影响早期的决策,但内在学习会随着时间的推移提高绩效. 认知因素预测准确度,而任务难度预测决策速度.

关键词:
在决策过程中做出决定.漂移扩散模型的漂移-扩散模型学习学习学习学习学习学习随机的森林随机的森林

相关实验视频

Last Updated: Feb 28, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.1K

科学领域:

  • 认知心理学 认知心理学
  • 决策科学 决策科学 决策科学
  • 人与计算机的交互

背景情况:

  • 之前的研究集中在任务难度对决策绩效的影响上.
  • 在任务执行过程中主观主动和内在学习的作用较少被探索.

研究的目的:

  • 研究任务难度和内在学习如何共同影响决策行为及其机制.
  • 区分认知因素和任务难度对决策准确性和速度的预测作用.

主要方法:

  • 差异分析 (ANOVA) 的分析.
  • 漂移扩散模型 (DDM) 是一种
  • 随机森林算法 随机森林算法
  • 操纵规则层次 (任务难度) 和块因素 (学习) 的操纵.

主要成果:

  • 任务难度 (规则等级) 显著影响了早期决策性能,随着任务重复增加而减少.
  • 内在的认知因素 (证据积累效率,决策偏见) 主要预测决策准确性.
  • 外部任务难度 (规则等级) 是决定速度 (反应时间) 的主要预测因素.

结论:

  • 在认知因素和任务难度之间存在分离,在预测决策准确性与速度方面存在分离.
  • 研究结果强调了外部任务需求和内部学习过程之间的动态相互作用.
  • 区分精度和速度指标对于个性化的教育,培训和HCI设计至关重要.