增强现实中文本内容上下文适应的众包设计指导

John J. Dudley, Jason T. Jacques, P. Kristensson
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引用次数: 8

摘要

增强现实(AR)可以提供引人入胜的用户体验,将虚拟内容与物理环境无缝融合。然而,由于开发人员无法评估不受控制的部署上下文如何影响用户体验,因此构建这样的体验是具有挑战性的。为了解决这个问题,我们展示了一种方法,可以使用具有隐私意识的移动web应用程序在用户自己的物理环境中快速进行AR实验和真实世界的数据收集。该方法利用通过众包可访问的大量不同的用户上下文来有效地获取不同的上下文和感知偏好数据。通过这种方法收集的见解补充了新兴的设计指导和样本有限的实验室研究。通过重新检查将AR文本内容适应用户环境的设计挑战,说明了该方法的实用性。最后,我们展示了如何在AR头显中实现收集到的设计洞察力,以提供自适应文本内容功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crowdsourcing Design Guidance for Contextual Adaptation of Text Content in Augmented Reality
Augmented Reality (AR) can deliver engaging user experiences that seamlessly meld virtual content with the physical environment. However, building such experiences is challenging due to the developer’s inability to assess how uncontrolled deployment contexts may influence the user experience. To address this issue, we demonstrate a method for rapidly conducting AR experiments and real-world data collection in the user’s own physical environment using a privacy-conscious mobile web application. The approach leverages the large number of distinct user contexts accessible through crowdsourcing to efficiently source diverse context and perceptual preference data. The insights gathered through this method complement emerging design guidance and sample-limited lab-based studies. The utility of the method is illustrated by re-examining the design challenge of adapting AR text content to the user’s environment. Finally, we demonstrate how gathered design insight can be operationalized to provide adaptive text content functionality in an AR headset.
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