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

Autor: Tuuli Keskinen, Markku Turunen, Jaakko Hakulinen, Kimmo Ronkainen, Roope Raisamo, Viveka Opas, Hanna Heinonen, John Mäkelä, Sanni Siltanen, Alisa Burova, Paulina Becerril Palma
Přispěvatelé: Tampere University, Computing Sciences
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: MindTrek
Popis: 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 applica- tions and reflects on their involvement throughout the process. The article concludes with a process-oriented framework for remote academia-industry collaboration, supported with practical sugges- tions 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 acceptedVersion
Databáze: OpenAIRE