Visilant: Visual Support for the Exploration and Analytical Process Tracking in Criminal Investigations

TL;DR

Visilant is a web-based visual tool designed to assist criminal investigators in exploring complex case data, tracking their reasoning process, and adapting hypotheses as new information emerges, thereby enhancing investigative workflow efficiency.

Contribution

The paper introduces Visilant, a novel visual support system specifically designed for criminal investigations, incorporating data exploration, hypothesis tracking, and reasoning process visualization based on four years of expert collaboration.

Findings

Expert feedback indicates improved understanding of case data.

The tool effectively tracks hypothesis changes with data updates.

Visilant facilitates hypothesis generation and case overview.

Abstract

The daily routine of criminal investigators consists of a thorough analysis of highly complex and heterogeneous data of crime cases. Such data can consist of case descriptions, testimonies, criminal networks, spatial and temporal information, and virtually any other data that is relevant for the case. Criminal investigators work under heavy time pressure to analyze the data for relationships, propose and verify several hypotheses, and derive conclusions, while the data can be incomplete or inconsistent and is changed and updated throughout the investigation, as new findings are added to the case. Based on a four-year intense collaboration with criminalists, we present a conceptual design for a visual tool supporting the investigation workflow and Visilant, a web-based tool for the exploration and analysis of criminal data guided by the proposed design. Visilant aims to support namely the exploratory part of the investigation pipeline, from case overview, through exploration and hypothesis generation, to the case presentation. Visilant tracks the reasoning process and as the data is changing, it informs investigators which hypotheses are affected by the data change and should be revised. The tool was evaluated by senior criminology experts within two sessions and their feedback is summarized in the paper. Additional supplementary material contains the technical details and exemplary case study.