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

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

698
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...
698
Design Example01:23

Design Example

530
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
530

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 author

Semantic Scene Graphs for Creating a Localization-Ready Internet of Things.

IEEE transactions on visualization and computer graphics·2026
Same author

Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking.

IEEE computer graphics and applications·2026
Same author

An online brain-computer interface for detecting incongruity in augmented reality applications.

Journal of neural engineering·2026
Same author

ISilDR: Isometric Seriation-Based Dimensionality Reduction for Visual Cluster Analysis.

IEEE transactions on visualization and computer graphics·2026
Same author

Hybrid User Interfaces: Past, Present, and Future of Complementary Cross-Device Interaction in Mixed Reality.

IEEE transactions on visualization and computer graphics·2026
Same author

A Large-Scale Quantitative Analysis of Avatars in VR and AR.

IEEE transactions on visualization and computer graphics·2026

相关实验视频

Updated: Jan 16, 2026

Touchscreen Sustained Attention Task SAT for Rats
09:31

Touchscreen Sustained Attention Task SAT for Rats

Published on: September 15, 2017

10.3K

通过大型透明触摸屏远距离选择.

Sebastian Rigling, Steffen Koch, Dieter Schmalstieg

    IEEE transactions on visualization and computer graphics
    |October 2, 2025
    PubMed
    概括

    用户在增强现实 (AR) 应用的大型透明触摸屏 (LTTS) 上自然地将触摸输入与视线对齐. 这种自然对齐提高了与显示屏背后的现实世界对象的交互准确度.

    科学领域:

    • 人与计算机的交互
    • 增强现实系统 增强现实系统
    • 显示技术 显示技术

    背景情况:

    • 大型透明触摸屏 (LTTS) 为共享空间中的增强现实 (AR) 应用提供了潜力.
    • 对于在 LTTS 后面不同距离的现实世界对象的选择,存在交互挑战.
    • 有限的研究重点是用户与LTTS的互动.

    研究的目的:

    • 了解自然用户与LTTS对AR的交互.
    • 评估不同的指针技术来选择LTTS背后的目标.
    • 分析用户的性能和对 LTTS 交互的偏好.

    主要方法:

    • 开发了一个用于AR交互的LTTS原型.
    • 评估了用于选择6至401厘米距离的12个物理目标的指针技术.
    • 对16名参与者进行了用户研究,测量了表现,行为和偏好.

    主要成果:

    • 用户自然地将触摸输入与他们的视线对准36厘米以上的目标.
    • 这种视线对齐技术导致了最小的角度偏差.
    • 一些用户闭上一只眼睛,以提高他们在互动期间的表现.

    更多相关视频

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.7K
    Methods to Test Visual Attention Online
    09:44

    Methods to Test Visual Attention Online

    Published on: February 19, 2015

    12.4K

    相关实验视频

    Last Updated: Jan 16, 2026

    Touchscreen Sustained Attention Task SAT for Rats
    09:31

    Touchscreen Sustained Attention Task SAT for Rats

    Published on: September 15, 2017

    10.3K
    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles
    09:27

    An Emerging Target Paradigm to Evoke Fast Visuomotor Responses on Human Upper Limb Muscles

    Published on: August 25, 2020

    4.7K
    Methods to Test Visual Attention Online
    09:44

    Methods to Test Visual Attention Online

    Published on: February 19, 2015

    12.4K

    结论:

    • 通过利用自然视线对齐,可以改善用户与AR的LTTS的交互.
    • 这些发现有助于在透明显示器上设计更直观的AR体验.
    • 未来使用LTTS的AR系统可以从这些对用户行为的洞察中获益.