Eye Detect is truth detection technology, and it measures honesty by monitoring involuntary eye behaviors as well as changes in pupil size. With the strong growth of Eye Detect technology across different industries, understanding what the results from an Eye detect test mean is highly relevant for both users and those being tested.
How Eye Detect Works
The Eye Detect measures responses in the eyes to specific questions and assumptions that seem deceptive. When someone is taking a test, they simply answer questions while being monitored by their eye movement and pupil dilation rates. This information is used to calibrate the probability of deception in computer analysis.
Understanding Eye Detect Results
The initial step for the interpretation of results from Eye Detect is to get a measurement off baseline. The initial phase of the test determines a subject’s physiological responses to questions that are not likely to provoke significant emotions special neutral.
- Algorithms: During the test, Eye Detect data is processed with algorithms. It searches for signs of deception in the physiological responses. This is the pattern recognition aspect of how well a test result should be believed.
- Response Categorization: Actions of the eyes to a series of yes-no questions are analyzed and then classified by Eye Detect as “deceptive” or not. Remember these classes are more probabilistic than binary in nature. Results of Eye Detect are also presented as a probability score, which is used to quantify the chances that the tested person either tells truth or lie.
- Context Specific: It is important to have context when interpreting results from Eye Detect. The results can be influenced by factors such as the emotional state of a subject, health conditions or what you ask them.
Practical Implications
Those who are using Eye Detect technology should also keep in mind that this information is more for completeness and not something to be relied upon as a standalone indicator. Results should be seen not as final verdicts but rather the beginning of an investigative journey that will conclude with either more or less certainty.
Interpreting the results of an eye detect test requires understanding how it uses algorithms to measure and interpret eye measurements. With a baseline in place, some comparison of how well the responses fit together and factoring variability based on an understanding of contextual factors potential pitfalls can be avoided. Although Eye Detect is an exciting new technology in the field of lie detection, taking a conservative approach can help to optimize the use of this tool for investigations and decision making.
