Abstract
Today, crime prevention is being implemented based on various scientific technologies. Among them, predictive security is a crime prevention system based on representative new security technology. As technologies related to criminology and mathematical statistics developed, a more precise predictive security system was implemented and the actual effectiveness was verified.
 Although the predictive security system has been developed in this way, little has been studied on police officers using the predictive security system. The predictive security system only calculates predictive information based on mathematical and statistical algorithms, but it is individual police officials who actually carry out crime prevention activities. Therefore, whether police officials will consider the output of the predictive security system is a different matter from the effectiveness of the predictive security system. Therefore, studying the attitude of whether or not to consider the output of the predictive security system is important for the use of the predictive security system that will be expanded in the future.
 Therefore, this study was surveyed on 140 police officers, and attempted to analyze whether the perception and attitude of predictive security affects the acceptance of the predictive security system through logistic regression analysis.
 Accordingly, a logistic regression analysis was conducted on how the perception of the predictive system, such as the perception of acceptance of predictive system commands, the perception of criminal justice orientation of predictive system, the perception of standardization of predictive system, and recognition of standardization of predictive system discretion affects the acceptance attitude of police officers.
 As a result of the analysis, it was found that the more police officers' attitudes and perceptions of the predictive security system were directed toward the definition of criminal justice, the higher the willingness to accept the predictive security system was 7.6 times.
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