Digitaal Platform: Fieldlab CAMPIONE
Thema(s): TrainingTechnologie term(en): AR/VR, Artificial Intelligence, Cognitive science, Human-Technology Interaction, Predictive learning
The CAMPIONE project is aimed to make maintenance within the processing industry 100% predictable by using condition-based maintenance and big data in order to enhance safety, durability and efficiency in the maintenance sector. There has been a pressing need from the industry to not only gain insight in the condition of the functioning of machinery, but also in the condition of the functioning of personnel. The role Tilburg University has had in the Campione project is to investigate training of personnel using virtual reality thereby predicting learning gains. Three research questions played a central role in the project: 1) what are the effects of virtual and mixed reality and other forms of training on performance? 2) How do individual differences influence these effects? 3) And how can learning in training be measured not after the training, but during training itself using sensing technologies.
CAMPIONE has received considerable attention in the national media. The project totalling 12 million euros has been funded by the European Union, OP Zuid, the Ministry of Economic Affairs, the municipality of Tilburg and Gilze and Rijen. It involves international industrial and governmental partners. Tilburg University, with a team of one faculty member, and two PhD students, is co-principal investigator of this project (World Class Maintenance being PI).
Technologische Innovatie
Aanbieder
Tilburg University
Business case
Scientific impact
On the Tilburg University side, the CAMPIONE project has yielded over 16 (soon to be) publications in peer-reviewed scientific outlets. The scientific findings have demonstrated that immersive environments (VR and CAVE) yield significantly higher learning gains than alternative measures of training, such as learning from textbooks. In addition, technological recommendations have been made on how VR and CAVE systems can best be used for training purposes while maintaining learning gains. Moreover, studies have investigated which neurophysiological measures best predict learning online, and how these neurophysiological responses differ as a function of individual differences across participants. The CAMPIONE project thereby pushes forward the frontiers of Artificial Intelligence, Cognitive science, Psychology, and Human-Technology Interaction, and Virtual Reality in the area of training.
Societal impact
For the CAMPIONE project different Field Labs have been identified, in combination with several Living Labs at partnering industrial partners. At Tilburg University we built our own Field Lab, the DAF Technology Lab, a high-tech virtual reality lab that investigates human behavior in virtual and mixed reality by using a 360 degrees CAVE (Cave Automatic Virtual Environment) providing an immersive virtual reality environment to its users. The immersive VR experience the DAF Technology Lab has provided has had a major impact on the way industry has viewed training, so much so that various corporate partners have now teamed up to investigate the VR impact on training further in areas such as maintenance, logistics, and aerospace.
Publications
- de Back, T. T., Tinga, A. M., van Hoef, R., Peters, E. M., & Louwerse, M. M. (2018). Applicability and benefits of virtual reality for the cognitive sciences. In C. Kalish, M. A. Rau, X. Zhu, & T. T. Rogers (eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 293-298). Madison, WI, USA: Cognitive Science Society.
- de Back, T. T., van Hoef, R., Tinga, A. M., & Louwerse, M. M. (2018). Presence is key: unlocking performance benefits of immersive virtual reality. In C. Kalish, M. A. Rau, X. Zhu, & T. T. Rogers (eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 1602-1607). Madison, WI, USA: Cognitive Science Society.
- de Back, T. T., Tinga, A. M., & Louwerse, M. M. (2020). Effects of locomotion in virtual reality on spatial memory, navigation and user experience. Manuscript submitted for publication.
- de Back, T. T., Tinga, A. M., & Louwerse, M. M. (2020). Factors affecting learning with cave-based collaborative virtual reality. Manuscript submitted for publication.
- de Back, T. T., Tinga, A. M., & Louwerse, M. M. (2020). Learning in immersed collaborative virtual environments: Design and implementation. Manuscript submitted for publication.
- de Back, T. T., Tinga, A. M., & Louwerse, M. M. (2020). Learning strategies can affect context-dependent memory using mixed and virtual reality. Manuscript submitted for publication.
- de Back, T. T., Tinga, A. M., Nguyen, P., & Louwerse, M. M. (2020). Immersive education: Collaborative CAVE-based virtual reality increases learning. Manuscript submitted for publication.
- Tinga, A. M., de Back, T. T., & Louwerse, M. M. (2019). Non-invasive neurophysiological measures of learning: A meta-analysis. Neuroscience and Biobehavioral Reviews, 99, 59-89.
- Tinga, A. M., Kuperus, W., Brandao Carvalho, M., Louwerse, M. M. (2019). Explanation versus prediction: Statistical differences in detecting fraudulent events do not necessarily have predictive power. In A. K. Goel, C. M. Seifert, & C. Freska (Eds.), Proceedings of the 41th Annual Conference of the Cognitive Science Society (pp. 2975-2980). Montreal, Canada: Cognitive Science Society.
- Tinga, A. M., Nykliček, I., Jansen, M. P., de Back, T. T., & Louwerse, M. M. (2019). Respiratory biofeedback does not facilitate lowering arousal in meditation through virtual reality. Applied Psychophysiology and Biofeedback, 44(1), 51-59.
- Tinga, A. M., Clim, A., de Back, T. T., & Louwerse, M. M. (2020). Measures of prefrontal functional near-infrared spectroscopy in visuomotor learning. Manuscript submitted for publication.
- Tinga, A. M., de Back, T. T., & Louwerse, M. M. (2020). Neurophysiological changes in learning and the impact of feedback: Measures of brain activity, eye tracking, skin conductance, heart rate and respiration. Manuscript submitted for publication.
Tinga, A. M., de Back, T. T., & Louwerse, M. M. (in press). Non-invasive neurophysiology in learning and training: Mechanisms and a SWOT analysis. Frontiers. - Tinga, A. M., Kuperus, W., Brandao Carvalho, M., Louwerse, M. M. (2019). Explanation versus prediction: Statistical differences in detecting fraudulent events do not necessarily have predictive power. In A. K. Goel, C. M. Seifert, & C. Freska (eds.), Proceedings of the 41th Annual Conference of the Cognitive Science Society (pp. 2975-2980). Montreal, Canada: Cognitive Science Society.
- Tinga, A. M., Menger, N. S., de Back, T. T., & Louwerse, M. M. (2020). The impact of age on learning-related changes in neurophysiology: Measures of brain activity, eye tracking, skin conductance, heart rate and respiration. Manuscript submitted for publication.
- Tjon, D., Tinga, A. M., Alimardani, M., & Louwerse, M. M. (2019). Brain activity reflects sense of presence in virtual reality. In A. Siarheyeva, C. Barry, M. Lang, H. Linger, & C. Schneider (eds.), Information Systems Development: Information Systems Beyond 2020 (ISD2019 Proceedings) (p.1-9). Toulon, France: ISEN Yncréa Méditerranée.
