DigitalTraces: Unveiling Fraud through Interactive User Behaviour Exploration
| dc.contributor.author | Narciso, João Bernardo | en_US |
| dc.contributor.author | Feliciano, Beatriz | en_US |
| dc.contributor.author | Costa, Rita | en_US |
| dc.contributor.author | Bizarro, Pedro | en_US |
| dc.contributor.editor | El-Assady, Mennatallah | en_US |
| dc.contributor.editor | Ottley, Alvitta | en_US |
| dc.contributor.editor | Tominski, Christian | en_US |
| dc.date.accessioned | 2025-05-26T06:58:48Z | |
| dc.date.available | 2025-05-26T06:58:48Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Fraud detection teams in financial institutions face the challenge of identifying suspicious activity within user behaviour. However, existing tools often lack the ability to seamlessly integrate multiple dimensions of digital activity into a single, interactive visualisation, leading to increased cognitive load and preventing analysts from quickly spotting anomalies in varying sources of information. This paper introduces DigitalTraces, a visual analytics tool aimed at improving the detection of fraudulent patterns particularly in the dimensions tied with digital activity. The system combines several stacked timelines to offer an overview of multiple activity dimensions, integrating online banking session data, device identifiers, transactional activities, and account information. We validated our tool with a think-aloud experiment where two fraud analysts were tasked with detecting anomalies in a financial fraud scenario. Experts emphasised the tool's ability to provide intuitive insights and enhance understanding. | en_US |
| dc.description.sectionheaders | Systems and Applications | |
| dc.description.seriesinformation | EuroVis 2025 - Short Papers | |
| dc.identifier.doi | 10.2312/evs.20251085 | |
| dc.identifier.isbn | 978-3-03868-282-0 | |
| dc.identifier.pages | 5 pages | |
| dc.identifier.uri | https://doi.org/10.2312/evs.20251085 | |
| dc.identifier.uri | https://diglib.eg.org/handle/10.2312/evs20251085 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Human-centered computing → visualisation systems and tools | |
| dc.subject | Human centered computing → visualisation systems and tools | |
| dc.title | DigitalTraces: Unveiling Fraud through Interactive User Behaviour Exploration | en_US |
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