COGNITIVE MEMORY DETECTION TEST
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Higher than 99% accuracy with D-Index > 0,6
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IntegrityView© is an amazing and very accurate cognitive memory detection test, which can also be used to detect lies and truths.
You can take the IntegrityView© test from your home today. You only need a stable and fast internet connection, a regular stationary computer or laptop with a physical keyboard.
The test takes about 12 minutes + approximately about 10 minutes of instructions before the test.
IntegrityView is a reaction time based test, and the result is automatically calculated by the built-in algorithm instantly after someone completes a test.
The IntegrityView method
Brian Nosek, Anthony Greenwald and Mahzarin Banaji. The leading researchers behind IAT and Project Implicit. More than 26 million tests have been conducted in over 26 languages. (There are no partnership or any commercial connections between the researchers behind IAT and aIAT. We have no commercial interest in IAT).
IntegrityView (aIAT) is built on the same and similar scientific framework as the Implicit Association Test (IAT), (Greenwald et al., 1998). Research and development of the methodological framework behind IAT was primarily carried out by researchers at the University of Washington, University of Virginia, Harvard and Yale.
The Implicit Association Test (IAT) is a test often used to determine a person's attitudes or bias (bias / prejudice that is stored in the subconscious part of the brain, of which the person is not aware).
IntegrityView (aIAT) is a response time (RT)-based test, and identifies the respondent's true autobiographical memories of an event or intention in a cognitively challenging double-switch categorization task.
Experiences we humans gather in everyday life are encoded into our brains, where access to the various memories are routed as associations via neural networks. By using the aIAT og IntegrityView, scientist have repeatedly proven in scientific studies that it is possible to detect the true, imprinted memory of an event in the respondent's brain with the IntegrityView test.
Professor Guiseppe Sartori, University of Padova, Italy demonstrates a reliable cognitive identity test (ID test) which is based on the same principles as aIAT / IntegrityView.
The method behind IntegrityView (aIAT) consists of a computerized double-switch categorization task. The test includes stimuli belonging to four categories, two of which are logical categories and are represented by neutral sentences that we know with certainty are always true for the respondent; For example: - "I'm doing a test", or which is always false for the respondent; - for example: "I am now on the Moon".
The other two categories in the test are represented by two conflicting versions of an autobiographical event (e.g. My bedroom window was open when I left for work this morning, vs My bedroom window was closed when I left for work this morning), where one of the statements must be true, and the contradictory hypothesis must be false. The true autobiographical memory (the true memory in the respondent's brain) about whether the respondent left the house with the bedroom window open or closed, is identified by pairing different combinations of statements from these two categories with each of the neutral logical categories (known true and known false categories).
Pairing true neutral statements with the true memory of whether the bedroom window was open or not, is expected to yield faster reaction times than pairing true neutral statements with the false hypothesis about what time this person got up.
This categorization test is a cognitive challenging task. To make sure the test produces high accuracy also for individuals with high IQ / high cognitive plasticity, the test has been adjusted so that 3-4% of the population with the lowest IQ / lowest cognitive plasticity will not be able to complete the test with a test proctor present. For tests taken without a test proctor present, this percentage will be somewhat higher. If an individual are not able to complete a test on first attempt, it is most often possible to retake the test.
IntegrityView (aIAT) has a proven accuracy of 92% (all tests in all published scientific studies) and 94% for re-tests (same test). None of the tests behind these figures were classified as inconclusive. These are all the tests.
For tests with a score of d-aIAT higher than + 0.6, or lower than - 0,6, the IntegrityView test has the following accuracies:
Higher than 99% accuracy for people who are not trying to cheat.
Higher than 99% accuracy for people who have tried to cheat, but have not been trained in cheating.
93.5% accuracy for people who have been instructed to cheat and have recieved training by an expert.
* Note that the version of the test used to detect cheaters that collectively achieves 93.5% accuracy had an open algorithm that accepted extreme values. The version used today in IntegrityView has a closed algorithm that does not allow extreme values, resulting in an expected higher hit rate for trained cheaters than the 93.5% applicable to the open-ended test algorithm.
When the test uses a D-aIAT of 0.6 as a reference value, about 18% of the tests will achieve a score lower than D-aIAT 0.6. This percentage will predictably depend on how good instructions are before the test, and what is being tested.
aIAT has been accepted as evidence in the legal system under the Daubert Standard some 20 + times. Most of the cases were high-profile murder cases, the aIAT was used to determine whether the accused / convicted had "criminal intent". That is; the examinee was most often tested whether the crime and the murder was planned, or based on an impulsive act. Several of these cases have been attempts to overturn previous convictions. One of the cases that was accepted in court the examinee was an accountant, suspected for paricipating in a very large money laundering case. One case was brought against the Anti-Doping Agency WADA, Several tests has been used in legal battles regarding insurance claims. Several of those were alleged whiplash cases.
An early version of the aIAT had a small breakthrough when it was used in the "Spygate" case. The test helped identify who in Ferrari's Formula 1 racing team had handed over company secrets to McLaren. In 2007, McLaren was sentenced to pay Ferrari 100 million dollars for industrial espionage. The test is also used by football clubs such as Chelsea, several top Italian clubs, which have used IntegrityView to test new player purchases. For example, in relation to whether players hide injuries and age of players from Africa +++.
There exist a comprehensive legal review of over 40 pages, as well as a court decision from the Trieste Court of Appeal in Italy stating that the aIAT complies with the Daubert standard of evidence. The test thus meets the strict requirements for evidence in countries that have adopted the new Daubert Standard for evidence, which is a far more scientific and stricter evidence standard than the evidence standard used in Norway and most other countries. You can read more about the Daubert Standard HERE.
The images above show the accuracy achieved in a study where IntegrityView is modified as an ID test. The graph shows that the test clearly discriminates between those who provided a false ID and respondents who provided a true ID.
(Image above) Example of achieved accuracy for a 3-minute long portable ID test with IntegrityView ©
To ensure an accurate result, the test consists of 5 subtests (Block 1-5) in which the respondent must complete various pairings of statements as quickly as possible. The test has built-in algorithms to identify attempts on cheating.
There are more than 300 scientifically published articles on the theoretical framework on which the test is based, including studies on variants. Researchers have conducted over 26 million tests in 27 languages on the method since 1998.
Unlike polygraph tests and EyeDetect which are able to test several questions during the same test, IntegrityView (aIAT) can only test one topic per test. It is rarely possible to carry out more than 2-3 tests per person
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