Orbit
The Science of Rapport-Based Interviewing for Law Enforcement, Security, and Military
Bibliographic Data
| ID | 23485756 |
|---|---|
| Authors | Laurence J Alison, L Alison, Emily Alison (0000-0002-6465-5810), Neil Shortland, Neil D Shortland (0000-0001-9496-4852), Frances Surmon-Böhr (0000-0002-1825-0281) |
| Year | 2020 |
| Publication date | 2020-12-01 |
| Open Access | No |
| Type | BOOK |
| Venue | Orbit (SOURCE_BOOK) |
| Publisher | Oxford University Press (PUBLISHER • GB) |
| DOI | 10.1093/med-psych/9780197545959.001.0001 |
| OpenAlex | W4237939124 |
| ISBN | 9780197545959 |
| Open Library | OL34689453M |
| Language | EN |
| Citations received | 2 |
ORBIT is an evidence-based approach to the analysis and training for interviewing high-value detainees by law enforcement, security services, and the military. Although its origins go as far back as 2005, it gained considerable traction after 2012, when the High-Value Detainee Interrogation Group, formed by the Obama Administration in the United States, funded work for assessment of its application in the context of interviews with high-value targets. Since then, the authors have collected the largest corpus of data anywhere in the world on real suspect interviews with terrorist detainees. This book shows what they found—that rapport-based methods work and that coercion, persuasion, and threats do not. Outlining the development of their own unique stance on rapport and its influences drawn from humanistic psychology, the authors show, through real-life examples and careful analysis, the reasons why “harsh methods” must be rejected and why compassion and understanding work in interrogation.
Compassion · Context (archaeology) · Criminology · Interrogation · Law enforcement · Persuasion · Political science · Suspect · Terrorism · Value (mathematics) · Computer Science · History · Law · Military History and Strategy · Psychology · Social Psychology · Torture, Ethics, and Law · War, Ethics, and Justification · Sociology
| Citations per year | 0.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |