克服增强现实的集成阈值

Q1 Social Sciences
A. Berglund
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引用次数: 0

摘要

增强现实(AR)的出现正在重塑人们体验物理和虚拟环境的方式,从观察到沉浸。人们对采用AR的兴趣与日俱增,这为沉浸式学习、技能提升和更新提供了机会。然而,在如何通过系统集成实现向利用这项技术的转变方面存在不确定性。由于全球大流行性健康危机造成的动荡,AR的实施现在面临着将采用阈值降至最低和建立更系统的升级方法的紧迫性。本文研究了这种学习方法的特点,并考察了AR与定制进度的结合。对两个解决方案供应商进行了调查,以揭示AR的集成过程,据我们所知,这在现有的研究中几乎没有探索过。这项研究表明,以用户为中心的学习活动的平衡升级,即入职过程,协调了指定AR应用工具的预期认知水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Overcoming Integration Thresholds for Augmented Reality
The advent of augmented reality (AR) is reshaping the way people experience physical and virtual environments, from observation to immersion. Growing interest in adopting AR provides opportunities for immersive learning, upskilling, and renewal. However, uncertainties exist in how to maneuver a transition toward making use of this technology through systematic integration. Due to the turmoil caused by the global pandemic health crisis, implementation of AR now faces urgency in minimizing adoption thresholds and establishing a more systematic escalation approach. This paper investigates the characteristics of such learning approaches and examines the integration of AR with customized progression. Two solution suppliers were investigated to uncover the integration process of AR, which, to the best of our knowledge, is scarcely explored in existing research. This study reveals that a balanced escalation of user-centric learning activities, i.e., an onboarding process, harmonizes anticipated cognition levels for a designated AR application tool.
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来源期刊
自引率
0.00%
发文量
352
审稿时长
12 weeks
期刊介绍: This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of technology enhanced learning. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Software / Distributed Systems -Knowledge Management -Semantic Web -MashUp Technologies -Platforms and Content Authoring -New Learning Models and Applications -Pedagogical and Psychological Issues -Trust / Security -Internet Applications -Networked Tools -Mobile / wireless -Electronics -Visualisation -Bio- / Neuroinformatics -Language /Speech -Collaboration Tools / Collaborative Networks
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