VR interaction for efficient virtual manufacturing: mini map for multi-user VR navigation platform
Paper i proceeding, 2024

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.

Manufacturing

Multi-User Collaboration Platform

User-Oriented

Interactive Map

Virtual Reality

Författare

Huizhong Cao

Chalmers, Industri- och materialvetenskap, Produktionssystem

Henrik Söderlund

Chalmers, Industri- och materialvetenskap, Produktionssystem

Mélanie Despeisse

Chalmers, Industri- och materialvetenskap, Produktionssystem

Francisco Garcia Rivera

Högskolan i Skövde

Björn Johansson

Chalmers, Industri- och materialvetenskap, Produktionssystem

Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning

335-345
978-1-64368-510-6 (ISBN)

PLENary multi-User developMent arena for industrial workspaces (PLENUM)

VINNOVA (2022-01704), 2022-09-15 -- 2025-09-14.

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Annan maskinteknik

Interaktionsteknik

Datavetenskap (datalogi)

Styrkeområden

Informations- och kommunikationsteknik

Produktion

Drivkrafter

Innovation och entreprenörskap

DOI

10.3233/ATDE240178

Mer information

Senast uppdaterat

2024-04-16