In a study of 40 videotaped conversations, an automated system developed by University at Buffalo researchers correctly identified whether interview subjects were lying or telling the truth 82.5 percent of the time. The automated system tracks eye movement. The system employs a statistical technique to model how people moved their eyes in two distinct situations: during regular conversation and while fielding a question designed to prompt a lie. Though the study’s sample size was too small for the research to be statistically significant, the findings, according to the research team, suggest that computers may be able to learn enough about a person's behavior in a short time to perform a task that challenges even experienced investigators.

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