Psychologically based Virtual-Suspect for Interrogative Interview Training

TL;DR

This paper introduces a psychologically adaptive Virtual-Suspect system for training law enforcement in interrogation techniques, simulating realistic suspect responses based on psychological states and contextual factors.

Contribution

It presents a novel Virtual-Suspect model that adapts responses dynamically using psychological and contextual data, enhancing interrogation training realism.

Findings

Behavior similar to human suspects in experiments

Supports diverse scenario configurations

Adapts responses based on psychological state

Abstract

In this paper, we present a Virtual-Suspect system which can be used to train inexperienced law enforcement personnel in interrogation strategies. The system supports different scenario configurations based on historical data. The responses presented by the Virtual-Suspect are selected based on the psychological state of the suspect, which can be configured as well. Furthermore, each interrogator's statement affects the Virtual-Suspect's current psychological state, which may lead the interrogation in different directions. In addition, the model takes into account the context in which the statements are made. Experiments with 24 subjects demonstrate that the Virtual-Suspect's behavior is similar to that of a human who plays the role of the suspect.