Special person risk behavior evaluation method

Abstract

A special person risk behavior evaluation method comprises the following steps of obtaining physical sign monitoring data of a tested person; obtaining personal factor data of the tested person; obtaining risk behavior disposition data of the tested person; obtaining interview data of the tested person; obtaining risk behavior type data of the tested person; conducting comprehensive computation on an evaluation result of objective circumstances in personal factors, risk behavior disposition evaluation results and an evaluation result of personal social circumstances and personal subjective factors, and the result obtained after computation is used as a special person risk behavior disposition evaluation result; the risk behavior disposition evaluation results are computed respectively, and the result obtained after computation is used as a risk behavior type evaluation result. According to the special person risk behavior evaluation method, the problem that a special person tells a lie is solved scientifically, the risk behavior disposition is accurately judged, the risk behavior type is predicted, and the scientific management level of the special person is improved.

Description

technical field [0001] The invention relates to the technical field of using computers to realize risk assessment of special personnel, in particular to a method for assessing risk behavior of special personnel. The special personnel here refer to the prison inmates, criminal suspects in the detention center and community corrections personnel. Background technique [0002] At the beginning of the 20th century, people began to use certain means to predict the risk behaviors of mental illnesses or persons with mental illnesses. After a period of exploration, certain results were achieved. On the basis of the initial successful prediction of the risk behaviors of mentally ill or mentally ill persons, people began to use this technology to predict the extreme behavior of special persons or criminals. In 1928, American Burgess conducted a study on 3,000 criminals who received parole in Illinois. He believed that the following factors were related to the success or failure of cr...

AI Technical Summary

Problems solved by technology

Although these risk behavior prediction scales are widely used in criminals, these scales cannot scientifically predict the level of risk tendency and risk behavior types of the tested persons because they do not solve the lying problem of these special persons

In addition, the sample size of many scales is insufficient, and the scientific nature of the scale setting itself is also affected to a certain extent.

[0005] In the 1960s, Chinese prison managers conducted spontaneous empirical research on the risky behavior of prisoners based on their own knowledge and experience, but few research results came out.

Since 2006, prisons in some provinces and cities such as Beijing, Jiangsu, and Guangdong have successively announced the development of a risk assessment scale for inmates. The developed risk assessment scale has a very limited application range, has not been recognized by the industry, and has no practical application value

[0007] The main shortcoming of existing related technologies is that it does not solve the problem of lying when special personnel participate in risk assessment tests, and there are also inherent deficiencies in large samples, reliability and validity of scale content, etc., so there is no fundamental solution to how to measure The problem of the risky behavior tendency of special personnel, it is impossible to accurately measure the risky behavior tendency of special personnel, and it is impossible to predict which aspects of the tested personnel may have problems

Images