Behavioural Analysis in a 6-DoF VR System: Influence of Content, Quality and User Disposition

Silvia Rossi, Irene Viola, Pablo César
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引用次数: 5

Abstract

This work presents an explorative behavioural analysis of users navigating in an immersive space aimed at enabling the next-generation multimedia systems. Our main goal is to understand how the user experience of immersive content with 6-Degrees-of-Freedom (DoF) is affected not only by the visual content and its quality but also by the disposition of the user. We based our investigations on traditional statistical metrics, on techniques that have been already used for 6-DoF, as well as adapted 3-DoF tools to be used in this new context. We show the limitation of each metric in giving a complete interpretation of user behaviour, and we draw insights on important factors to be considered when analysing and predicting navigation trajectories. Specifically, we have noticed in our behavioural investigations that the user disposition plays an important role in the way of interacting with the immersive content. This opens the gate to user profiles (i.e., a collection of key information that describes the behavioural features of a single or group of users) that would be beneficial for different purposes in future immersive applications such as enabling new modalities for live streaming services optimised per user profiles but also for user-based quality assessment methods.
六自由度虚拟现实系统的行为分析:内容、质量和用户倾向的影响
这项工作提出了用户在沉浸式空间中导航的探索性行为分析,旨在实现下一代多媒体系统。我们的主要目标是了解具有6个自由度(DoF)的沉浸式内容的用户体验如何不仅受到视觉内容及其质量的影响,还受到用户性格的影响。我们的调查基于传统的统计指标,已经用于6-DoF的技术,以及适应在这种新环境下使用的3-DoF工具。我们展示了每个指标在给出用户行为完整解释方面的局限性,并且我们得出了在分析和预测导航轨迹时要考虑的重要因素的见解。具体来说,我们在行为调查中注意到,用户倾向在与沉浸式内容交互的方式中起着重要作用。这为用户配置文件(即,描述单个或一组用户的行为特征的关键信息的集合)打开了大门,这将有利于未来沉浸式应用程序的不同目的,例如为每个用户配置文件优化的直播流媒体服务启用新模式,以及基于用户的质量评估方法。
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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