Exploring the Role of User Experience and Interface Design Communication in Augmented Reality for Education

IF 2.4 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Matina Kiourexidou, A. Kanavos, Maria I. Klouvidaki, Nikos Antonopoulos
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引用次数: 0

Abstract

Augmented Reality (AR) enhances learning by integrating interactive and immersive elements that bring content to life, thus increasing motivation and improving retention. AR also supports personalized learning, allowing learners to interact with content at their own pace and according to their preferred learning styles. This adaptability not only promotes self-directed learning but also empowers learners to take charge of their educational journey. Effective interface design is crucial for these AR applications, requiring careful integration of user interactions and visual cues to blend AR elements seamlessly with reality. This paper explores the impact of AR on user experience within educational settings, examining engagement, motivation, and learning outcomes to determine how AR can enhance the educational experience. Additionally, it addresses design considerations and challenges in developing AR user interfaces, drawing on current research and best practices to propose effective and adaptable solutions for educational AR applications. As AR technology evolves, its potential to transform educational experiences continues to grow, promising significant advancements in how users interact with, personalize, and immerse themselves in learning content.
探索用户体验和界面设计交流在增强现实教育中的作用
增强现实(Augmented Reality,AR)通过整合互动和身临其境的元素,使学习内容栩栩如生,从而增强学习动力,提高学习效果。AR 还支持个性化学习,允许学习者按照自己的节奏和偏好的学习方式与内容互动。这种适应性不仅能促进自主学习,还能让学习者掌控自己的教育旅程。有效的界面设计对于这些 AR 应用程序至关重要,它需要精心整合用户交互和视觉提示,以便将 AR 元素与现实完美融合。本文探讨了 AR 在教育环境中对用户体验的影响,研究了参与度、学习动机和学习成果,以确定 AR 如何增强教育体验。此外,本文还探讨了开发 AR 用户界面时的设计考虑因素和挑战,并借鉴当前的研究和最佳实践,为教育领域的 AR 应用提出了有效且适应性强的解决方案。随着 AR 技术的发展,其改变教育体验的潜力不断增长,有望在用户与学习内容的交互、个性化和沉浸式学习方面取得重大进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Multimodal Technologies and Interaction
Multimodal Technologies and Interaction Computer Science-Computer Science Applications
CiteScore
4.90
自引率
8.00%
发文量
94
审稿时长
4 weeks
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