Back to Home 19 August 2022 / News LAW-GAME progress and Helvia’s role During the recent Helvia summit, Helvia’s Project Manager Eleni Panopoulou, presented to the team the progress of the LAW-GAME project.OverviewLAW-GAME aims to elevate the experiential training of Law Enforcement Agencies (LEAs) and first responders through virtual reality (VR) and Artificial Intelligence (AI)s. Police officers will have the option to practice in real-life scenarios with gamification technologies in a safe and controlled virtual environment.The main objectives of the project are to:Create fully immersive 3D virtual environments for trainingCreate a complete gamified training system for LEAsBuild an interactive gaming experienceDesign and develop a novel terrorist attack prevention, analysis and training framework based on serious gamingProvide a comprehensive framework to measure training effectiveness.Build a secure environment that will provide data resources, simulation tools, expert access, and unique collaboration capabilities.Validate and test the solution in realistic law enforcement exercises and increase the project impacts.The training systemLAW-GAME will create a complete gamified training system that will help LEAs to develop the core competencies required for crime scene investigation & illegal acts prediction. The key elements of the training system will include a 3D game engine, Serious Games Modes, Human Modeling & Emotional Intelligence, learning environment, analysis tools, and AI-assisted procedures:Game modesThe project includes 4 distinct game modes to provide dedicated training to police officers in Forensic Examination, Interrogation & Negotiation, Terrorism Prediction and Vehicle Dynamics & Card Accident Analysis:CSI Game - Forensic ExaminationThe game’s objective is to survey the incident scenes in VR in order to discover, analyze and evaluate all the evidence and solve the case, following typical investigator procedures and using virtual instruments.2. Police Interview Game - Interrogation & Negotiation techniques and protocolsThe game’s objectives are to:Converse with NPC to validate the gathered evidence and get confession of the crime or of any involvement in it (Interrogation)Find out background and reason for the actions and manipulate the perpetrator to deliver him/her to the Authorities without any human losses (Negotiation)3. Terrorist Attack Prevention Game - Terrorism PredictionThe game’s objective is to analyze various data / terrorism indicators and other players’ moves in order to recognize and prevent an impending terrorist attack byIdentifying the members of the terrorist groupForeseeing the time and place of the attackIdentifying the target of the attackIdentifying the modus operandi of the attack, e.g., weapons or explosivesUnderstanding the motivation for the attack4. Car Accident Game - Vehicle Dynamics & Card Accident AnalysisThe game’s objective is to inspect the accident scenes in order to discover, analyze and evaluate all the evidence and determine what happened, following typical police procedures, inspecting the scene, collecting evidence with the use of virtual instruments.Helvia’s role in the LAW-GAME projectHelvia’s role is to build interactive chatbots that support the use cases of the project, and more specifically conversational characters for training experiences that take place in gaming and VR environments.Helvia is leading the development of the following components:Interactive Storytelling EngineHandles interactive dialogues manifested via chat NPCsHandles unfolding of “branching” storylines based e.g., on player’s emotions and game events2. AI NarratorNarrates the game mode/scenario to the playerPops up to provide guidance and hints to the playerAvailable to answer player’s questions3. Training Scenario ConfiguratorProvides UI for scenario configuration by the trainersFind out more about the LAW-GAME project at https://lawgame-project.eu/.LAW-GAME project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101021714. Content reflects only the authors’ view and European Commission is not responsible for any use that may be made of the information it contains.