Conference proceeding
A Study of Evidence Cognition in the Simpson Case towards Smart Justice
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), pp 1353-1358
Dec 2021
Abstract
Evidence plays a pivotal role in litigation. However, biases can occur in evidence cognition if adjudicators' decisions are based on evidentiary presumptions or affected by various subjective factors. Modern research in cognitive psychology shows that those biases are closely related to people's different mental models. By examining the famous O. J. Simpson murder case, we studied the cognitive differences of trial evidences based on D-S Evidence Theory and knowledge graph technology, discussed the typical mental models of different cognitions through cluster analysis, and suggested an improved method to evaluate the evidences with cognition biases, which provides a reference for the analysis of evidence cognitions in legal cases aiming at construction of an intelligent human-machine collaborative system and mechanism towards smart justice.
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Details
- Title
- A Study of Evidence Cognition in the Simpson Case towards Smart Justice
- Creators
- Xuan Zhou - Zhejiang University,Guanghua Law School,Hangzhou,China,310008Xiqiong Wan - Fudan University,School of Mathematical Sciences,Shanghai,China,200433Yifei Pei - Navy Military Medical University,The First Affiliated Hospital,Shanghai,China,200433Xiaohua Hu - Navy Military Medical University,The First Affiliated Hospital,Shanghai,China,200433Weihui Dai - Fudan University,School of Management,Shanghai,China,200433
- Publication Details
- 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), pp 1353-1358
- Conference
- 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 23rd
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Scopus ID
- 2-s2.0-85132407760
- Other Identifier
- 991019189187004721