This study investigated the feasibility of disruptive accelerated training achieved through consciousness transfer, which has the capacity to underpin a highly effective and resources-efficient training method.
Military training scenarios that currently exist in the form of vignettes could effectively be digitally downloaded to the consciousness of the trainee through the development and deployment of novel Neural Interface (NI) technologies enabling rapid knowledge acquisition.
The approach taken in this research project brings disruption to the basic understanding of training and the general concept of knowledge acquisition. Some of the benefits of such an approach include:
- Future military training environments, by 2040, will be capable of communicating training materials directly into their consciousness through advanced NIs and BCIs.
- In addition to consciousness transfer, disruptive capabilities will entail live communication among parties through thought transmission networks.
- This approach will deliver a more cost and resource efficient approach as well as more effective in terms of capacity and success.
- Furthermore, it can be a very effective way to maintain staff at the highest quality level of training by reducing the learning burden and skill fade.
Meet the Principal Investigator(s) for the project
Dr Arthur Money - Dr Arthur G. Money is a Reader in the Department of Computer Science at Brunel University London, where he also received his MSc in Distributed Information Systems with distinction in 2001 and PhD in Multimedia Computing in 2007. Prior to embarking on a fully funded EPSRC PhD scholarship in 2004, he worked for Oracle UK Ltd as an e-Business Technology Consultant. Dr Money’s research focuses on the user-centred design, development and evaluation of multimedia computing systems and the effective deployment of these systems with users who have complex needs spanning a range of domains including older adults, healthcare, education, and defence.
Related Research Group(s)
Interactive Multimedia Systems - Building sensor and media-rich, cross-layer, inclusive e-systems, with an interest in human-machine interaction, sensorial-based interfaces, data visualisation and multimedia.
Partnering with confidence
Organisations interested in our research can partner with us with confidence backed by an external and independent benchmark: The Knowledge Exchange Framework. Read more.
Project last modified 14/07/2021