增强位置可视化用于空间和上下文感知决策

R. Guarese, João Becker, Henrique Fensterseifer, M. Walter, C. Freitas, L. Nedel, Anderson Maciel
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引用次数: 5

摘要

每当进入教室或礼堂等室内空间时,人们可能会试图分析并选择适合参加活动的地方。有几个标准可以解释,大多数标准并不总是不言自明或微不足道的。这项工作提出使用与增强现实(AR)用户界面相关的数据可视化来帮助用户定义最方便的座位。我们直接考虑座椅顶部和房间周围的任意需求和项目信息。用户还可以通过切换和组合显示的属性来缩小搜索范围,例如温度、轮椅无障碍。在一组用户(N = 16)的座位选择任务可用性评估中,针对相同数据的可比2D交互式可视化测试了所提出的方法,以验证该解决方案。定性和定量数据表明,基于AR的解决方案是有前途的,这表明AR可以帮助用户做出更准确的决策,即使是在普通的日常任务中。关于增强位置可视化,我们的研究结果为探索上下文感知数据开辟了新的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmented Situated Visualization for Spatial and Context-Aware Decision-Making
Whenever accessing indoor spaces such as classrooms or auditoriums, people might attempt to analyze and choose an appropriate place to stay while attending an event. Several criteria may be accounted for, and most are not always self-evident or trivial. This work proposes the use of data visualization allied to an Augmented Reality (AR) user interface to help users defining the most convenient seats to take. We consider sets of arbitrary demands and project information directly atop the seats and all around the room. Users can also narrow down the search by switching and combining the attributes being displayed, e.g., temperature, wheelchair accessibility. The proposed approach was tested against a comparable 2D interactive visualization of the same data in usability assessments of seat-choosing tasks with a set of users (N = 16) to validate the solution. Qualitative and quantitative data indicated that the AR-based solution is promising, suggesting that AR may help users make more accurate decisions, even in an ordinary daily task. Regarding Augmented Situated Visualization, our results open new avenues for the exploration of context-aware data.
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