Investigative identification is a routine criminal investigative procedure,the results of which can be used as evidence in litigation.However,some suspects often deny their involvement in the case,and some witnesses m...Investigative identification is a routine criminal investigative procedure,the results of which can be used as evidence in litigation.However,some suspects often deny their involvement in the case,and some witnesses may withhold information or misrepresent it,all of which may lead to a miscarriage of justice.This study created a stressful environment and conducted a simulated crime experiment to explore whether eye movement data can be an effective feature for distinguishing perpetrators,innocents,and insiders.The eye movement features—such as the total fixation duration,number of fixations,and first fixation duration—within an area of interest were collected from 83 participants sorted into informed,involved,and innocent groups.The results revealed the following:(1)compared with the object and scene stimuli,subjects with different identities were more likely to exhibit significant differences in eye movement data for the involved and irrelevant portraits.The total fixation duration and the number of fixations can provide a reference for judging whether someone is involved in a case,and the first fixation duration effect was not obvious.(2)Using machine learning algorithms to predict subjects’identities through eye movement features,it was demonstrated that the involved portrait-object-scene model had the best predictive effect.(3)Multiple algorithmic models were used to distinguish subjects’identities,and the highest accuracy of 92.7%was achieved for the informed×innocent group,88%for the innocent×suspect group(including the informed and involved groups),and 84.5%for the involved group.The eye movement analysis method can provide a reference for criminal investigators to distinguish between the perpetrator,insider,and innocent,and offer a novel approach to determining the direction of further investigation and uncovering and verifying case clues.展开更多
The rapid growth of big data technology has become a major trend affecting the pattern of world development.Big data criminal investigation is a new type of criminal detection used extensively in the course of police ...The rapid growth of big data technology has become a major trend affecting the pattern of world development.Big data criminal investigation is a new type of criminal detection used extensively in the course of police practice at home and abroad.Its emergence indicates a trend in criminal justice towards ensuring security at the expense of privacy and exchanging rights for information.Big data criminal investigation highlights the backwardness and dysfunction of the traditional framework of legal norms,evident in doubts about the legal attributes of such investigation and the obvious limitations of techniques for distinguishing data content from metadata.This leaves a vacuum in the regulation of investigative power at the preliminary stage of investigation.Big data criminal investigation itself is a doubleedge sword;in order to forestall the possible abuses it may entail in terms of deep and broad interventions in basic civil rights,big data criminal investigation should be brought under the necessary legal control.We therefore propose adopting a dual regulatory approach comprising investigative and data norms,selectively adopting the traditional normative framework of the principle of legality and the principle of proportionality,and at the same time supplementing it with other legal principles and mechanisms concerning the protection of personal information and data.展开更多
基金This work is supported by the Public Security First-class Discipline Cultivation and Public Safety Behavioral Science Lab Project(No.2023ZB02)the National Natural Science Foundation of China(72274208).
文摘Investigative identification is a routine criminal investigative procedure,the results of which can be used as evidence in litigation.However,some suspects often deny their involvement in the case,and some witnesses may withhold information or misrepresent it,all of which may lead to a miscarriage of justice.This study created a stressful environment and conducted a simulated crime experiment to explore whether eye movement data can be an effective feature for distinguishing perpetrators,innocents,and insiders.The eye movement features—such as the total fixation duration,number of fixations,and first fixation duration—within an area of interest were collected from 83 participants sorted into informed,involved,and innocent groups.The results revealed the following:(1)compared with the object and scene stimuli,subjects with different identities were more likely to exhibit significant differences in eye movement data for the involved and irrelevant portraits.The total fixation duration and the number of fixations can provide a reference for judging whether someone is involved in a case,and the first fixation duration effect was not obvious.(2)Using machine learning algorithms to predict subjects’identities through eye movement features,it was demonstrated that the involved portrait-object-scene model had the best predictive effect.(3)Multiple algorithmic models were used to distinguish subjects’identities,and the highest accuracy of 92.7%was achieved for the informed×innocent group,88%for the innocent×suspect group(including the informed and involved groups),and 84.5%for the involved group.The eye movement analysis method can provide a reference for criminal investigators to distinguish between the perpetrator,insider,and innocent,and offer a novel approach to determining the direction of further investigation and uncovering and verifying case clues.
文摘The rapid growth of big data technology has become a major trend affecting the pattern of world development.Big data criminal investigation is a new type of criminal detection used extensively in the course of police practice at home and abroad.Its emergence indicates a trend in criminal justice towards ensuring security at the expense of privacy and exchanging rights for information.Big data criminal investigation highlights the backwardness and dysfunction of the traditional framework of legal norms,evident in doubts about the legal attributes of such investigation and the obvious limitations of techniques for distinguishing data content from metadata.This leaves a vacuum in the regulation of investigative power at the preliminary stage of investigation.Big data criminal investigation itself is a doubleedge sword;in order to forestall the possible abuses it may entail in terms of deep and broad interventions in basic civil rights,big data criminal investigation should be brought under the necessary legal control.We therefore propose adopting a dual regulatory approach comprising investigative and data norms,selectively adopting the traditional normative framework of the principle of legality and the principle of proportionality,and at the same time supplementing it with other legal principles and mechanisms concerning the protection of personal information and data.
