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相关概念视频

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

569
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
569
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
951

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相关实验视频

Updated: Nov 17, 2025

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
05:42

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Published on: October 5, 2020

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触摸屏的响应精度对探索/利用权衡很敏感.

Dana Mueller1, Erin Giglio1, Cathy S Chen1

  • 1Department of Psychology, University of Minnesota, Minneapolis MN 55455.

bioRxiv : the preprint server for biology
|November 1, 2024
PubMed
概括
此摘要是机器生成的。

鼠标在使用过程中表现出更精确的触摸屏动作,表明更高的确定性. 运动精度独立地受到过去的奖励和性别的影响,揭示了认知和运动之间的联系.

关键词:
强盗的强盗 强盗的隐藏的马尔科夫模型 (HMM)强化学习是一种强化学习.性别差异 性别差异这是一个触摸屏.

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相关实验视频

Last Updated: Nov 17, 2025

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Published on: October 5, 2020

3.1K
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科学领域:

  • 神经科学是一个神经科学.
  • 行为科学 行为科学
  • 决策科学 决策科学 决策科学

背景情况:

  • 探索/利用权衡对于以奖励为指导的决策至关重要.
  • 在感知任务中的运动精度与决策确定性相关,即使没有运动需求.
  • 影响奖励指导决策的运动精度和主观确定性的变量仍然不清楚.

研究的目的:

  • 调查在以奖励为指导的决策过程中塑造运动精度和主观确定性的因素.
  • 为了确定探索/利用状态,奖励历史或个人差异是否会影响触摸屏交互精度.
  • 探索触摸屏任务的实用性,揭示神经状态,将认知和运动联系起来.

主要方法:

  • 在鼠标之间利用触摸屏任务来测量选择选择和动作精度.
  • 参数控制的不确定性和奖励意外情况.
  • 分析了基于探索/利用状态,过去的奖励和性别的精度差异.

主要成果:

  • 与探索状态相比,利用状态期间的电机精度增加,这表明确定性更高.
  • 剥削选择精度是独立于由于直接过去的奖励而提高精度的提高.
  • 无论决策状态如何,雄性小鼠的精度都低于雌性小鼠.

结论:

  • 在以奖励为指导的决策中,运动精度在运行过程中肯定会增加,而不依赖于运动要求.
  • 触摸屏的交互精度由探索/利用动态,奖励历史和个人 (基于性别) 的差异来调节.
  • 触摸屏任务为发现潜伏的神经状态提供了宝贵的工具,这些神经状态整合了跨物种的认知和运动过程.