Correlation between Entropy and Prediction Error in VR Head Motion Trajectories
Correlation between Entropy and Prediction Error in VR Head Motion Trajectories
复制标题
DOI：
10.1145/3607546.3616805
复制
发表时间：
2023-10
期刊：
影响因子：
--
通讯作者：
Silvia Rossi;Laura Toni;Pablo César
中科院分区：
文献类型：
--
作者：
Silvia Rossi;Laura Toni;Pablo César
在虚拟现实(VR)和扩展现实(XR)领域，对用户行为的一般理解经常被忽视。在这项工作中，我们希望通过探索用户在沉浸式内容中导航的方式与其轨迹的可预测性之间的关系来填补这一空白。受社会科学研究的启发，我们的关键假设是，存在可以准确预测的导航轨迹，而其他导航轨迹则呈现出更难预测的折衷模式。然而，目前还不清楚如何有效地区分这些行为。在此背景下，我们对多个数据集进行了广泛的数据分析，调查用户在VR中的移动。最终目的是了解信息论中的特定度量，如轨迹的熵，是否可以用作区分可预测导航轨迹和不可预测导航轨迹的度量。我们的研究结果显示，导航风格非常规律的用户往往表现出较低的熵，这表明他们的移动具有更高的可预测性。相反，导航模式越多样化的用户，他们的轨迹显示出更高的熵和更低的可预测性。对于未来沉浸式应用中的不同目的，比如为直播服务启用新的模式，以及设计更个性化和更具吸引力的VR体验，回答这个问题将是至关重要的：我们如何才能区分出比其他用户更可预测的用户？
The general understanding of user behaviour has been often overlooked in the field of Virtual Reality (VR) and Extended Reality (XR) at large. In this work, we want to fill this gap by exploring the relationship between the way in which users navigate in immersive content and the predictability of their trajectories. Inspired by works from social science, our key assumption is that there are navigation trajectories that can be accurately predicted, while others exhibit eclectic patterns that are more challenging to anticipate. However, it is not yet clear how to effectively distinguish between these behaviours. In this context, we conduct an extensive data analysis across multiple datasets investigating users' movements in VR. The ultimate goal is to understand if a specific metric from information theory, such as the entropy of trajectory, can be adopted as a discriminating metric between predictable navigation trajectories and unpredictable ones. Our findings reveal that users with highly regular navigation styles tend to exhibit lower entropy, indicating higher predictability of their movements. Conversely, users with more diverse navigation patterns show higher entropy and lower predictability in their trajectories. Answering the question "how can we distinguish users more predictable than others?'' would be crucial for different purposes in future immersive applications such as enabling new modalities for live streaming services but also for the design of more personalised and engaging VR experiences.