Public subsidies to finance the "INVESTIGO PROGRAM" to hire young job seekers to carry out research and innovation initiatives, within the framework of the Recovery, Transformation and Resilience Plan.
The Fundación Canaria Living Lab for Research (FCLL) is a private, non-profit institution, recently created, which, although based in Las Palmas de Gran Canaria, has the vocation to provide services throughout the Autonomous Community of the Canary Islands.
The FCLL’s aim is to promote and support top quality research, contributing to the general benefit of society and improving the competitiveness of the Canarian economy, by generating technological knowledge, carrying out R&D&I activities, developing and managing spaces for data generation and live experimentation (living labs and hotel labs) and promoting their application to the business fabric with a public-private collaboration model. The Foundation’s main objective is therefore fundamental research, industrial research or experimental development and to widely disseminate the results of these activities through teaching, training, publication or knowledge transfer; the generation of data and knowledge, acting as an element of development and innovation, with special emphasis on disruptive technologies (thinking about the future), enabling (thinking about people) and sustainable (thinking about the planet), which clearly connects the requested project with the profile of the organisation.
In today’s world, digitalisation is playing an increasingly important role in all kinds of fields, from large sectors such as tourism to deployments within small companies or institutions. One of the new trends within this new wave of digitisation is Virtual Reality (VR), which not only serves to generate reliable reproductions of environments and people, but is also extremely useful as a means of transmitting knowledge or as a training tool.
It is precisely in this field, education, where VR is beginning to gain great relevance. Thanks to this technology, it is possible to generate experiences and situations for users in which they have to solve problems or face critical decisions in simulated environments, without real risks or consequences, but with all the learning that this entails. This allows a user to learn different trades or develop all kinds of transversal skills through introductory or improvement courses based on this technology, making it easier for new companies to hire employees and retrain the unemployed by reducing all kinds of adaptation or learning periods.
In addition, it is worth mentioning that data science plays an extremely important role in today’s world. Large companies collect huge amounts of data (big data) generated by millions of customers in order to increase their revenues and improve their services by massively analysing this data and creating artificial intelligence models capable of making classifications and predictions. These AI models are applicable to any sector or field, as long as they have the right data.
This is why this project aims to develop a predictive model based on artificial intelligence capable of predicting which skills are the most suitable for a given user, all of this carried out on a VR entertainment and learning platform in the prototype phase.
The project is part of the activities carried out by the company, which can be summarised as: carrying out technological innovation projects in cooperation with companies, carrying out non-standardised technological consultancy services or attending to the technological needs of entities and companies.
The general objective of this project is to design an artificial intelligence system capable of predicting the most suitable skills that the user of a VR training platform can acquire, thus facilitating the learning and retraining of workers for their incorporation into the most suitable position for them in a new company.
In order to achieve the objective, the associated specific objectives are defined below:
- Develop and train an AI model capable of predicting the most appropriate competencies to be developed by a user of a VR training platform.
- Deploy the developed AI model on the platform to validate its results. SO1. Collect data from users of the VR training platform.
- Analizar cuál es el modelo de IA más adecuado para realizar las predicciones (Métodos Bayesianos, Redes Neuronales, Deep Learning…).
- Train AI model with the data collected in SO1 and test the model with a test dataset.
- Analyse the performance of the model with respect to the prediction metrics.
- Deploy the model on the VR training platform and validate its results.
The aim of this project is to digitalise the training of the skills required for a specific job by means of a training service through a virtual reality platform in which users can develop the skills required for a specific job in an efficient and safe manner, using approaches based on data science and artificial intelligence, generating a relationship with the actions of the lines established in the bases.
Unlike more classic VR training (360º videos), VR training activities will be carried out in a virtual three-dimensional environment in which the user can move freely and interact with the objects necessary for their work in a realistic and intuitive way, allowing them to dismantle and assemble devices, manipulate mechanisms or even observe the possible results through the different interactions that the user can carry out.
This VR training platform will incorporate a system capable of collecting and analysing, through data science, the different data and metrics of each user. This data will be used to train a predictive model based on artificial intelligence, capable of generating unique profiles for each user that reveal both the strengths and the areas that require further training. Through these profiles it will be possible to identify the strengths and weaknesses of users in terms of soft-skills, thus enabling the ability to create personalised training programmes that address these weaknesses with the aim of improving them after the programme.
Finally, the predictive AI model obtained from the behavioural data extracted from each user will be deployed on a platform in order to validate these predictions.
In summary, the development of this project aims to facilitate the training of personnel in the processes required to perform a specific job. This would make it possible to hire personnel who are not experts in certain positions and then train them virtually, creating employees familiar with any type of process in a short time and effectively increasing the hiring rate of any company.
Beneficiary entity
Fundación Canaria Living Lab
Dates
Start date: 19/05/2023
End date: 18/05/2024
Project duration
12 months
Financed by
