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A QoE Evaluation of an Augmented Reality Procedure Assistance Application

机译:增强现实程序辅助应用程序的QoE评估

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Augmented reality (AR) is a key technology to enhance worker effectiveness during increasing automation of repetitive jobs in the workplace. AR will achieve this by assisting the user to successfully perform complex and frequently changing procedures. The design of AR applications for these roles is critical to their acceptability and utility. User quality of experience (QoE) will inform these design decisions. A user arrives at a quality judgment upon post-experience reflection of their degree of delight or annoyance relating to the degree of fulfilment of pragmatic and hedonic needs and expectations of the medium under consideration. QoE researchers have largely depended upon post-experience subjective reports to determine the user's QoE. Subjective reports have been shown to be biased by primacy, recency and maxima of experience stimuli. Recent research involves the identification of implicit metrics that can be used to determine user QoE continuously during a multimedia experience. This work evaluates head rotation frequency as an objective metric of user QoE. The literature shows that emotion is expressed in the frequency of a person's head rotation around three axes of movement (pitch, yaw and roll). Low frequency head rotation has been shown to include expression of happy emotion while high frequency exclusively expresses anger emotion. These emotions are analogous to those reflected on by a user during the quality formation process. This demo paper analyses the amount of high frequency head rotation exhibited by the user upon task completion using an AR procedure assistance application or a paper-based control. An optimal Rubik's Cube solving AR application was used as a proof of concept for AR-based procedure assistance. Preliminary results showed that the AR environment yielded higher task success rates and significantly shorter task completion durations. The AR users exhibited significantly lower amplitudes of anger frequencies in their head rotations than the control group.
机译:增强现实(AR)是一项关键技术,可在提高工作场所重复性工作的自动化程度的过程中提高工人的效率。 AR将通过协助用户成功执行复杂且频繁更改的过程来实现这一目标。这些角色的AR应用程序的设计对其可接受性和实用性至关重要。用户体验质量(QoE)将为这些设计决策提供依据。用户在体验后反映出他们对满足务实和享乐需求的程度以及对所考虑的介质的期望有关的愉悦或烦恼时,便会做出质量判断。 QoE研究人员在很大程度上取决于经验后的主观报告来确定用户的QoE。主观报告已显示受经验刺激的至高无上,新近度和最高水平的偏见。最近的研究涉及隐式度量的标识,这些隐式度量可用于在多媒体体验期间连续确定用户QoE。这项工作评估头部旋转频率作为用户QoE的客观指标。文献表明,情绪以人的头部围绕三个运动轴(俯仰,偏航和横摇)旋转的频率表示。低频头部旋转已被证明包括快乐情绪的表达,而高频仅表达愤怒情绪。这些情绪类似于用户在质量形成过程中反映出的情绪。该演示文件使用AR程序辅助应用程序或基于纸张的控件来分析用户在任务完成时表现出的高频头旋转量。最佳的Rubik多维数据集解决AR应用程序用作基于AR的过程辅助的概念证明。初步结果表明,AR环境产生了更高的任务成功率,并且显着缩短了任务完成时间。与对照组相比,AR使用者的头部旋转怒气频率幅度要低得多。

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