VR interaction for efficient virtual manufacturing: mini map for multi-user VR navigation platform

December 29, 2023 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Huizhong Cao, Henrik SΓΆderlund, MΓ©lanie Despeisse, Francisco Garcia Rivera, BjΓΆrn Johansson arXiv ID 2312.17593 Category cs.HC: Human-Computer Interaction Cross-listed cs.CY Citations 3 Venue arXiv.org Last Checked 4 months ago
Abstract
Over the past decade, the value and potential of VR applications in manufacturing have gained significant attention in accordance with the rise of Industry 4.0 and beyond. Its efficacy in layout planning, virtual design reviews, and operator training has been well-established in previous studies. However, many functional requirements and interaction parameters of VR for manufacturing remain ambiguously defined. One area awaiting exploration is spatial recognition and learning, crucial for understanding navigation within the virtual manufacturing system and processing spatial data. This is particularly vital in multi-user VR applications where participants' spatial awareness in the virtual realm significantly influences the efficiency of meetings and design reviews. This paper investigates the interaction parameters of multi-user VR, focusing on interactive positioning maps for virtual factory layout planning and exploring the user interaction design of digital maps as navigation aid. A literature study was conducted in order to establish frequently used technics and interactive maps from the VR gaming industry. Multiple demonstrators of different interactive maps provide a comprehensive A/B test which were implemented into a VR multi-user platform using the Unity game engine. Five different prototypes of interactive maps were tested, evaluated and graded by the 20 participants and 40 validated data streams collected. The most efficient interaction design of interactive maps is thus analyzed and discussed in the study.
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