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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Decision Making: Traditional Method01:14

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

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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...
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Response Surface Methodology01:16

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Classification of Systems-II01:31

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Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
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相关实验视频

Updated: Jul 7, 2025

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
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实时机器人演示技能评分使用多模型分析和模糊的德尔菲分析层次过程.

Rafeef Fauzi Najim Alshammari1,2, Abdul Hadi Abd Rahman1, Haslina Arshad1

  • 1Center for Artificial Intelligence Technology, Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia (UKM), Bangi 43600, Selangor, Malaysia.

Sensors (Basel, Switzerland)
|December 23, 2023
PubMed
概括

本研究介绍了基于机器人的演讲技能评分 (RPSS),这是一种用于评估学生演讲的新型机器人多分类模型. RPSS准确评估面部表情,眼神接触和动作,与人类导师达成99%的一致性.

关键词:
在 AHP AHP 中.教育机器人教育机器人评价 评价 评价 评价模糊的德尔夫人 模糊的德尔夫人人与机器人的互动机器学习是机器学习.评分演示文稿的评分方法

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科学领域:

  • 机器人技术 机器人技术 机器人技术
  • 人工智能的人工智能
  • 教育 技术 技术 教育 技术

背景情况:

  • 目前的学生演示评分方法缺乏多重分类和积极学习,导致潜在的不准确性.
  • 现有的系统往往只关注面部表情,忽视其他关键的演示技巧,如眼神接触和肢体语言.

研究的目的:

  • 开发和评估基于机器人的演示技能评分 (RPSS) 系统,以进行全面和准确的评估.
  • 整合多个分析模型,实时评估关键的演示参数.

主要方法:

  • RPSS采用多模型方法分析面部表情 (EfficientNet),眼神接触 (DeepEC) 和运动 (Kalman/启发式).
  • 模糊的德尔菲方法和分析层次过程被用于标准选择和权重.
  • 一种新的积极学习方法通过机器人移动性提高了性能.

主要成果:

  • 通过现实世界的评估,RPSS证明了其实际适用性.
  • 线下和比较评估显示出高准确性和有效性.
  • 在评估演讲技巧时,与人类导师达成99%的平均一致.

结论:

  • RPSS提供了一个强大而准确的解决方案来评分学生的演讲,克服现有方法的局限性.
  • 该系统的多参数分析和机器人实现提高了评分的客观性和全面性.