Virtual & augmented reality-based user interaction V&V and technology acceptance in the Industry 4.0This method is to early test industry robots with end-users and look for safety issues and acceptance before the deployment.https://repo.valu3s.eu/method/virtual-augmented-reality-based-user-interaction-v-v-and-technology-acceptance-in-the-industry-4.0https://repo.valu3s.eu/@@site-logo/logo_valu3s_green_transparent.png
Virtual & augmented reality-based user interaction V&V and technology acceptance in the Industry 4.0
This method is to early test industry robots with end-users and look for safety issues and acceptance before the deployment.
Conduct human factors analysis and assess the technology acceptance of new industry robots. This is meant to be performed by end-users with the use of virtual and/or augmented reality technologies before the robot is fully deployed in its industrial environment.
Virtual Reality (VR) and Augmented Reality (AR) are powerful tools to allow verification and validation of systems that are either not completely built yet or in which unexpected behaviours can harm people or equipment. This is mainly because end-users can interact with a virtual representation of the system to validate that cannot harm them if there is a failure. Technology is not only expected to be safe, but also the humans interacting with them have to accept the technology, and have to have trust in it and in its functioning [VURI1].
The base method (Virtual & augmented reality-based user interaction V&V and technology acceptance) is applied in the monitoring of dependant people in a home environment in which little human-robot interaction was considered [VURI2, VURI3]. Thus, it has been used in the healthcare domain only (monitoring task), while this improvement considers the Industry 4.0 domain [VURI4]. Due to that, further human-robot interaction techniques will be explored in this improved method. The new context of use will require the use of different approaches for the interaction with industry robots. Moreover, new metrics adapted to the new context of use will be defined (interviews, questionnaires, etc.). Safety and efficiency of human-robot collaboration often depend on appropriately calibrating trust towards the robot and using a user-centred approach to realise what impacts the development of trust [VURI5]. The evaluation of whether the person feels safe and comfortable with the proposed solution becomes paramount to guarantee a safe environment.
Early testing before the physical robot solution is deployed. Allows obtaining collaboration experience without using the real robot in a safe environment and thus reducing the risks.
The differences in the interaction/collaboration between simulation and reality. The cost of building the VR/AR simulator.
[VURI1] van den Brule, R., Dotsch, R., Bijlstra, G. et al. Do Robot Performance and Behavioral Style affect Human Trust?. Int J of Soc Robotics 6, 519–531 (2014). doi: 10.1007/s12369-014-0231-5. [VURI2] Belmonte, L.; Garcia, A.S.; Segura, E.; Novais, P.J.; Morales, R.; Fernandez-Caballero, A. Virtual Reality Simulation of a Quadrotor to Monitor Dependent People at Home. IEEE Transactions on Emerging Topics in Computing, (2020). doi:10.1109/TETC.2020.3000352. [VURI3] Belmonte, L.M.; García, A.S.; Morales, R.; de la Vara, J.L.; López de la Rosa, F.; Fernández-Caballero, A. Feeling of Safety and Comfort towards a Socially Assistive Unmanned Aerial Vehicle That Monitors People in a Virtual Home. Sensors (2021), 21, 908. doi: 10.3390/s21030908. [VURI4] Ghobakhloo, M. Industry 4.0, digitization, and opportunities for sustainability. Journal of cleaner production, 252, 119869. (2020). doi: 10.1016/j.jclepro.2019.119869. [VURI5] Okamura K, Yamada S. Adaptive trust calibration for human-AI collaboration. PLOS ONE 15(2): e0229132. (2020). doi: 10.1371/journal.pone.0229132.
