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A Virtual Reality Framework for Training Incident First Responders and Digital Forensic Investigators

  • Umit KarabiyikEmail author
  • Christos Mousas
  • Daniel Sirota
  • Takahide Iwai
  • Mesut Akdere
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11845)

Abstract

This paper presents the basic functionalities of a virtual reality framework developed for training first responders and digital forensic investigators. The framework is divided into two modules: training and evaluation. The framework provides a variety of functionalities and behaviors that can be assigned to virtual objects and allows training and evaluation of crime scenes to be easily customized. During the training module, an individual can be trained to perform various procedures, pipelines, and task execution sequences. After the training is completed, the individual can then be immersed in and interact with a virtual reality crime scene by collecting as much evidence as possible. This process allows the system to evaluate the trainee’s performance and the training process in general. In the evaluation process, the developed framework captures several types of information regarding the individual’s performance, including missing evidence, the task execution sequence, and the task completion time. The collected data can then be provided to the trainee or supervisor for evaluation. A simple customizable scoring method was also developed and incorporated into the developed framework to provide immediate performance feedback to the trainee.

Keywords

Virtual reality Training Digital forensics First responders Task evaluation 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Umit Karabiyik
    • 1
    Email author
  • Christos Mousas
    • 1
  • Daniel Sirota
    • 1
  • Takahide Iwai
    • 1
  • Mesut Akdere
    • 1
  1. 1.Purdue UniversityWest LafayetteUSA

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