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相关概念视频

Modeling in Therapy01:26

Modeling in Therapy

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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
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Steps in the Modeling Process01:14

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Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
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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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Schemas01:42

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A schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
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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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Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
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模拟分心驾驶行为,考虑认知过程.

Yixin Zhu1, Lishengsa Yue1, Qunli Zhang2

  • 1Department of Transportation Engineering, Tongji University, Key Laboratory of Road and Traffic Engineering, Ministry of Education, No. 4800, Cao'an road, Shanghai 201804, China.

Accident; analysis and prevention
|May 3, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的分心驾驶行为模型,使用队列网络模型的人类处理器框架. 该模型通过模拟认知过程来提高准确性,改善新车辆技术的安全分析.

关键词:
认知过程是一个认知过程.分散注意力的驾驶行为分心模式的分心模式排队网络模型的人类处理器

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科学领域:

  • 认知科学 认知科学
  • 交通安全工程 交通安全工程
  • 交通运输中的人类因素

背景情况:

  • 分心驾驶行为建模仍然不完整,缺乏认知过程的全面模拟.
  • 现有的模型往往侧重于人类因素的数学方面,而不是潜在的大脑信息处理.

研究的目的:

  • 通过队列网络模型人类处理器 (QN-MHP) 框架提出一种新的分心驾驶模型.
  • 基于生理和认知证据,模拟分心的司机的认知过程.
  • 为了提高分心驾驶行为模型的准确性和现实性.

主要方法:

  • 使用排队网络模型人类处理器 (QN-MHP) 框架.
  • 纳入了对外部刺激的累积激活效应模型和用于认知资源分配的双任务队列/交换机制.
  • 使用智能驾驶模型 (IDM) 建模驾驶员行动,用于视觉和听觉分心.
  • 从上海自然驾驶研究数据中使用773个分心的汽车追踪事件校准和验证模型.

主要成果:

  • 开发的模型显示了更统一和合理的参数值.
  • 与两个基线模型相比,实现了57%和66%的显著精度改进.
  • 成功生成了关键的撞车前情景和估计的分心驾驶撞车率.

结论:

  • 拟议的基于QN-MHP的模型通过结合认知过程,提供了更现实的分心驾驶模拟.
  • 该模型的提高准确性和预测关键场景的能力有助于交通安全分析和新车辆技术的开发.