MR-CoCo:一个开放的混合现实测试平台,用于共同定位的一对产品配置和决策——一个帆船案例研究。

IF 6.5
Fabio Vangi, Daniel Medeiros, Mine Dastan, Michele Fiorentino
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引用次数: 0

摘要

文献已经证明了混合现实(MR)通过提供更吸引人、更有效的终端用户体验来进行产品配置的优势。虽然在以前的研究中已经广泛探索了MR中的协作和远程设计工具,但在夫妻共同定位产品配置的探索中仍然存在明显的差距。这一差距值得注意,因为在许多行业中,夫妻(如朋友、伴侣)经常在实体零售环境中共同做出购买决定。在本文中,我们介绍了MR- coco,这是一个开放的MR测试平台,旨在通过共同定位的夫妇(双方都扮演客户的角色)来探索协作配置。测试平台是在Unity中开发的,并具有以下功能:(i)具有虚拟产品3D模型锚定的共享MR空间,(ii)当前配置的共享可视化,(iii)用于选择配置区域的多功能UI, (iv)用于3D拖放颜色和材料的手势从3D目录到产品。一个帆船个性化的案例研究作为概念的证明。用户研究涉及24对夫妇(总共48名参与者),使用MR-CoCo模拟购买体验和相关配置。我们通过体验后评估来评估可用性,使用系统可用性量表(SUS)和共同存在配置问卷(CCQ)来衡量协作和决策。结果显示了高水平的可用性和可感知的协作质量。我们还探讨了可用于远程协作应用程序的指导方针,支持跨广泛行业(例如,汽车和服装)的配置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MR-CoCo: an Open Mixed Reality Testbed for Co-located Couple Product Configuration and Decision-Making - A Sailboat Case Study.

The literature has demonstrated the advantages of Mixed Reality (MR) for product configuration by providing a more engaging and effective end-user experience. While collaborative and remote design tools in MR have been widely explored in previous studies, a noticeable gap remains in the exploration of co-located product configuration for couples. This gap is noteworthy since in many industries, couples (e.g., friends, partners) often make purchasing decisions together in physical retail environments. In this paper, we introduce MR-CoCo, an open MR testbed designed to explore collaborative configurations by co-located couples, both in the role of customers. The testbed is developed in Unity and features: (i) a shared MR space with virtual product 3D model anchoring, (ii) shared visualization of the current configuration, (iii) a versatile UI for selecting configuration areas, (iv) hand gestures for 3D drag and drop of colors and materials from 3D catalog to the product. A case study of the personalization of a sailboat is provided as proof of concept. The user study involved 24 couples (48 participants in total), simulating a purchasing experience and the related configuration using MR-CoCo. We assessed usability through post-experience evaluations, with the System Usability Scale (SUS) and the Co-Presence Configuration Questionnaire (CCQ) to measure collaboration and decision-making. The results demonstrated a high level of usability and perceived quality of collaboration. We also explore guidelines that can be used for remote collaboration applications, enabling configuration across a wide range of industries (e.g., automotive and clothing).

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