Project description
A virtual training platform for police officers
As a training strategy, gamification is being used by companies and institutions to engage users and motivate actions. The EU-funded LAW-GAME project will use gamification technologies to train police officers on procedures in a safe and controlled virtual environment in Greece, Spain, Lithuania, Romania, and Moldova. The project will introduce an attractive method to develop competencies required to perform AI-assisted intelligence analysis and illegal acts prediction. LAW-GAME will conduct forensic examination through a one-player or multi-player cooperative scenario and provide developed AI tools for evidence recognition, crime scene investigation, and car accident analysis. The project will expose the trainees to police interview tactics and train them to recognise and mitigate potential terrorist attacks.
Objective
The aim of our project is to train police officers’ on the procedure, through gamification technologies in a safe and controlled virtual environment. Essential tasks during the creation of LAW-GAME serious game are to virtualise and accurately recreate the real world. We will introduce an attractive approach to the development of core competencies required for performing intelligence analysis, through a series of AI-assisted procedures for crime analysis and prediction of illegal acts, within the LAW-GAME game realm. Building upon an in-depth analysis of police officers’ learning needs, we will develop an advanced learning experience, embedded into 3 comprehensive “gaming modes” dedicated to train police officers and measure their proficiency in:
1. conducting forensic examination, through a one-player or multi-player cooperative gaming scenario, played through the role of a forensics expert. Developed AI tools for evidence recognition and CSI and car accident analysis, will provide guidance to the trainee.
2. effective questioning, threatening, cajoling, persuasion, or negotiation. The trainee will be exposed to the challenges of the police interview tactics and trained to increase her emotional intelligence by interviewing a highly-realistic 3D digital character, advanced with conversational AI.
3. recognizing and mitigating potential terrorist attacks. The trainees will impersonate an intelligence analyst tasked with preventing an impending terrorist attack under a didactic and exciting “bad and good” multiplayer and AI-assisted game experience.
The proposed learning experience focuses on the development of the key competences needed for successfully operating in diverse and distributed teams, as required by several cross-organisational and international cooperation situations. The learning methodology developed by the LAW-GAME consortium will be extensively validated by European end-users, in Greece, Lithuania, Romania, Moldavia and Estonia.
Fields of science
Programme(s)
- H2020-EU.3.7. - Secure societies - Protecting freedom and security of Europe and its citizens Main Programme
- H2020-EU.3.7.1. - Fight crime, illegal trafficking and terrorism, including understanding and tackling terrorist ideas and beliefs
- H2020-EU.3.7.8. - Support the Union's external security policies including through conflict prevention and peace-building
Funding Scheme
RIA - Research and Innovation actionCoordinator
22006 Nicosia
Cyprus
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Participants (20)
013685 Bucuresti
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
37008 Salamanca
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1050 Bruxelles / Brussel
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118 54 ATHINA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20009 DONOSTIA-SAN SEBASTIAN (GIPUZKOA)
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1101 Lefkosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2080 MSIDA
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10177 Athina
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10117 Tallin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
N7 7PX LONDON
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
57001 Thermi Thessaloniki
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1000 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
060117 Bucuresti
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MD - 2004 CHISINAU
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101 77 Athens
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Participation ended
01010 Vitoria-Gasteiz
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09313 Vilnius
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3071 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15060 Tallinn
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12012 Tallinn
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