Toward Efficient Academia-Industry Collaboration: A Case Study of Joint VR System Development

被引：4

作者：

Burova, Alisa ^{[1
]}

Heinonen, Hanna ^{[2
]}

Palma, Paulina Becerril ^{[2
]}

Keskinen, Tuuli ^{[1
]}

Hakulinen, Jaakko ^{[1
]}

Opas, Viveka ^{[2
]}

Makela, John ^{[1
]}

Ronkainen, Kimmo ^{[1
]}

Siltanen, Sanni ^{[2
]}

Raisamo, Roope ^{[1
]}

Turunen, Markku ^{[1
]}

机构：

[1] Tampere Univ, Tampere, Finland

[2] KONE Corp, Hyvinkaa, Finland

来源：

PROCEEDINGS OF THE 24TH INTERNATIONAL ACADEMIC MINDTREK CONFERENCE (ACADEMIC MINDTREK) | 2021年

关键词：

Academia-Industry Collaboration; Industry-Academia Collaboration; Virtual Reality; Collaborative Virtual Environment; Industrial Maintenance;

D O I：

10.1145/3464327.3464367

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Collaborative academia-industry development and evaluation of virtual reality (VR) systems is a mutually beneficial opportunity to investigate VR technology in a real context and conduct user studies with target users. However, such collaboration is rarely performed due to variations in project pace and work methods. In this article, we introduce the process of action research on joint design, development, and evaluation of a collaborative VR system to address industrial needs. The paper further presents employees' subjective opinions and perceived value of industrial VR applications and reflects on their involvement throughout the process. The article concludes with a process-oriented framework for remote academia-industry collaboration, supported with practical suggestions on how to support this collaboration. Our experiences reveal the methods and advantages of remote collaboration in all phases of the process and signify the efficiency of the remote framework for academia-industry collaboration, especially relevant in the light of the COVID-19 pandemia..

引用

页码：176 / 185

页数：10

共 30 条

[1] AUTOMATIC COLLISION DETECTION FOR ASSEMBLY SEQUENCE PLANNING USING A THREE-DIMENSIONAL SOLID MODEL [J].