Abstract

BackgroundThe autobiographical Implicit Association Test (aIAT) is a novel application of the implicit association concept for detecting life events. It has been used to reveal concealed knowledge in clinical and forensic settings, including detecting drug use. In this study, we aimed to explore the functionality of the aIAT to identify drug use in real-world settings.MethodsThe study used mixed methodology with known groups of drug users and nonusers. Recreational cocaine users (n = 23) and non-users (n = 23) were recruited through ethnographic methodology and assessed using a bespoke brief aIAT for cocaine use. An identical aIAT test for heroin detection was also administered to a sub-sample of 10 cocaine users and 13 nonusers. The accuracy of the cocaine aIAT was measured through ROC analysis. Paradoxical aIAT results were explored by integrating craving, consumption measures and life-story interviews into the analysis.ResultsWhilst the two brief aIATs showed good concurrent validity for cocaine users by accurately detecting drug using status for 18 of the 23 users (78.3%), the test falsely reported 61% cocaine users in the non-user comparison group. The average D-scores were 0.257±0.246 for the cocaine users and 0.134±0.367 for the non-users, showing no discriminatory power (t(44) = 1.339, p = 0.187; AUC = 0.605, p = 0.223). Results were independent from craving and recent cocaine use. The comparison group’s cocaine and heroin aIAT scores correlated significantly (r(13) = 0.776, p = 0.002) whilst an accurate absence of such relationship was evidenced in the cocaine using sample (r(10) = 0.061, p = 0.866). Triangulation with life-story interviews suggests that in the absence of an autobiographical event, this test may measure an alternative cognitive construct linked to the Self-concept.ConclusionThe aIAT is a variant of an attitude measure and can be better rationalized if propositional thinking is implied to explain outcomes. The Relational Frame and Social Knowledge Structure theories can perhaps provide a more plausible theoretical background. Further work is required to clarify which factors underlie this testing technique’s functioning. Reappraisal is advised before further forensic use of the instrument to ensure that general associations not related to autobiographical memory do not confound results.

Highlights

  • The autobiographical Implicit Association Test is a novel application of the implicit association concept for detecting life events

  • Language and test typology differences the Association Test (aIAT) used in this study were completed by a mixed group of Italian and English participants, each using a version in their respective native languages, this variation did not result in statistically significant differences

  • As would be expected from previous attempts [8,19,34], these results provided reassurance that language variations were not having an effect on the aIAT outcome measures

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Summary

Introduction

The autobiographical Implicit Association Test (aIAT) is a novel application of the implicit association concept for detecting life events. Applications of response-time measure tests as lie detectors [7,8] imply the use of an indirect computerized sorting task for the recollection of autobiographical memories with the view of detecting concealed life events. One of the two existing IAT-based ‘lie detector’ tests is the autobiographical Implicit Association Test (aIAT) [8], which has been applied to clinical and forensic cases outside academia and has been the subject of numerous investigations since its conception. The notable increase in clinical, forensic and experimental applications of such tests [9,10,11,12] warrants investigation into the performance of these outside laboratory experiments to establish validity, especially when these instruments are used in real-world settings [13]

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