ArticleFrontiers in psychology2013
The autobiographical IAT: a review.
Article in Frontiers in psychology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Doping Prevalence in Competitive Sport: Evidence Synthesis with "Best Practice" Recommendations and Reporting Guidelines from the WADA Working Group on Doping Prevalence.Sports medicine (Auckland, N.Z.) · 2021Pooled it
- The trajectory of crime: Integrating mouse-tracking into concealed memory detection.Behavior research methods · 2025Article
- Have you been there before? Decoding recognition of spatial scenes from fMRI signals in precuneus.Human brain mapping · 2024Article
- Autobiographical Implicit Association Test and eye movements: fixations topography enables detection of autobiographical memories.Frontiers in psychology · 2024Article
- Testing the practical utility of implicit measures of beliefs for predicting drunk driving.PloS one · 2022Article
- The mechanism of filler items in the response time concealed information test.Psychological research · 2021Article
- The detection of malingering in whiplash-related injuries: a targeted literature review of the available strategies.International journal of legal medicine · 2021Review
- On the role of (implicit) drinking self-identity in alcohol use and problematic drinking: A comparison of five measures.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2021Article
- The Use of Pupillometry in Autobiographical Implicit Association Test.Frontiers in psychology · 2021Article
- An inkblot for beliefs: The Truth Misattribution Procedure.PloS one · 2019Article
- Covert lie detection using keyboard dynamics.Scientific reports · 2018Article
- The Detection of Malingering: A New Tool to Identify Made-Up Depression.Frontiers in psychiatry · 2018Article
- False Identity Detection Using Complex Sentences.Frontiers in psychology · 2018Article
- Article
- A novel methodology for the objective ascertainment of psychic and existential damage.International journal of legal medicine · 2016Article
- Electrophysiological Correlates of the Autobiographical Implicit Association Test (aIAT): Response Conflict and Conflict Resolution.Frontiers in human neuroscience · 2016Article
- Cerebral correlates of faking: evidence from a brief implicit association test on doping attitudes.Frontiers in behavioral neuroscience · 2015Article
- "I didn't want to do it!" The detection of past intentions.Frontiers in human neuroscience · 2015Article
- Deception research today.Frontiers in psychology · 2014Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The autobiographical Implicit Association Test (aIAT; Sartori et al., 2008) is a variant of the Implicit Association Test (IAT; Greenwald et al., 1998) that is used to establish whether an autobiographical memory is encoded in the respondent's mind/brain. More specifically, with the aIAT, it is possible to evaluate which one of two autobiographical events is true. The method consists of a computerized categorization task. The aIAT includes stimuli belonging to four categories, two of them are logical categories and are represented by sentences that are always true (e.g., I am in front of a computer) or always false (e.g., I am climbing a mountain) for the respondent; two other categories are represented by alternative versions of an autobiographical event (e.g., I went to Paris for Christmas, or I went to New York for Christmas), only one of which is true. The true autobiographical event is identified because, in a combined block, it gives rise to faster reaction times when it shares the same motor response with true sentences. Here, we reviewed all the validation experiments and found more than 90% accuracy in detecting the true memory. We show that agreement in identifying the true autobiographical memory of the same aIAT repeated twice is, on average, more than 90%, and we report a technique for estimating accuracy associated with a single classification based on the D-IAT value, which may be used in single subject's investigations. We show that the aIAT might be used to identify also true intentions and reasons and conclude with a series of guidelines for building an effective aIAT.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.