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Updated: May 27, 2025

Online Explorative Study on the Learning Uses of Virtual Reality Among Early Adopters
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用手语的用户体验问卷,用于斯洛文尼亚手语的母语用户

Klemen Pečnik1, Žana Juvan2, Gregor Dolinar3

  • 1Laboratory for Multimedia, Faculty of Electrical Engineering, University of Ljubljana, Ljubljana, Slovenia. klemen.pecnik@fe.uni-lj.si.

Scientific reports
|February 17, 2025
PubMed
概括

开发了一个新的斯洛文尼亚手语 (SSL) 版本的用户体验问卷 (UEQ). 该工具有效评估聋人用户体验,与书面版本没有显著差异.

关键词:
可访问性 可访问性聋人和听力障碍者 聋人和听力障碍者这就是HbbTV.标记语言 标记语言在UEQQ UEQQ.用户体验用户体验.

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Introduction to the Sign Test01:10

Introduction to the Sign Test

The sign test is an important tool in nonparametric statistics, offering a straightforward yet effective method for analyzing matched pairs, nominal data, or hypotheses concerning the median of a population. It transforms data points into positive or negative signs, avoiding the need for assumptions about data distribution and instead focusing on the direction of change. It is particularly valuable when data does not conform to the normal distribution requirements of many parametric tests. For...
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Sign Convention01:30

Sign Convention

When analyzing a beam subjected to various loads, it is crucial to understand the internal forces and moments generated within the structure. These internal forces can be broadly classified into normal forces, shear forces, and bending moments. To determine these forces and moments, we use the method of sections and apply a specific sign convention based on their direction and the side of the section being analyzed.
The normal force acts perpendicular to the beam's cross-section and can...
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Sign Test for Nominal Data01:12

Sign Test for Nominal Data

The sign test is a nonparametric method used to evaluate hypotheses about the median of a single sample or to compare the medians of two related samples. The sign test is particularly useful when dealing with nominal data, which includes distinct categories without an inherent order, such as names, labels, and preferences. Nominal data restricts statistical analysis to evaluating population proportions rather than mean or median values that require continuous data.
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