The Effects of Intelligence and Personality on Performance in Simulated Interrogation Scenarios

Author:

Morgan Robert,Alison Laurence,Palace MarekORCID,Shortland Neil,Humann Michael

Abstract

Abstract The paper explores the relationships between individual differences in intelligence and personality and the ability to extract critical information (and identify missing but required information) from a suspect’s brief sheet (i.e. model formulation) and develop a suitable line of questioning (i.e. approach strategizing) in interrogation scenarios. We hypothesised that cognitive flexibility, emotion management, low need for closure and rapport would all be predictors of these abilities. Two hundred and seventy-four participants of different backgrounds were exposed to two interrogation scenarios to assess model formation and approach strategizing abilities, as well as intelligence and personality tests. Benchmarks for performance were measured against two experienced interrogators and two psychologists’ calibrated performance. In terms of overall performance, only rapport and cognitive flexibility were significant positive predictors. Whereas only rapport was a positive predictor of approach strategizing, both rapport and cognitive flexibility were positive predictors of model formation. In conclusion, the data from the early stage of our project suggests that the examined factors should be carefully considered when training and selecting optimal interrogators. Though previous research has identified a number of individual differences in intelligence and personality that are important in demanding law-enforcement contexts, ours is the first to explore them with respect to effective interrogator performance.

Funder

Liverpool John Moores University

Publisher

Springer Science and Business Media LLC

Subject

Law,Applied Psychology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3