HeartGuard VR: Immersive Romance Scam Education
Lea, Octavia ; Shepherd, Lynsay A. ; Szymkowiak, Andrea (2024) — Lecture notes in computer science
Synopsis (AI-Generated)
Identified Gaps (AI-Generated)
Methods (AI-Generated)
Limitations (AI-Generated)
Future Work (AI-Generated)
Related Research Insights
See how this publication connects to RSRC's living evidence syntheses through current citations and research-topic mapping.
-
Related through topic mapping
Attack Methods and Offender Strategies
Attack Methods and Offender Strategies: How offenders identify, approach, groom, deceive, and exploit targets
This publication is mapped to the Attack Methods and Offender Strategies topic but is not cited in the current synthesis version.
Browse Attack Methods and Offender Strategies publications -
Cited in current synthesis, version 21
Grooming and Trust Development
Grooming and Trust Development in Romance-Related Fraud: Evidence Synthesis
Browse Grooming and Trust Development publications -
Cited in current synthesis, version 13
Psychological and Financial Harms
Psychological and Financial Harms from Relationship‑Based Online Fraud (victim impact; financial loss; psychological harm)
Browse Psychological and Financial Harms publications -
Cited in current synthesis, version 12
Prevention and Intervention
Prevention and Intervention for Relationship‑Based Online Scams: Evidence Synthesis
Browse Prevention and Intervention publications -
Related through topic mapping
Technology and AI
Technology and AI: Evidence Synthesis on Digital Platforms, Automation, Deepfakes, and Emerging Technologies in Relationship-Based Fraud
This publication is mapped to the Technology and AI topic but is not cited in the current synthesis version.
Browse Technology and AI publications
AI-Generated Content Notice
The synopsis and research notes on this page were generated with AI from available publication information and, when available, the uploaded paper text. They may contain errors, omissions, or interpretation issues. Readers should follow the DOI or source link, review the original publication, and make their own judgment about the content.
Found a possible error? Request a correction.