Exploring technologies to better link physical evidence and digital information for disaster victim identification  

作　　者：David Lovell Kellie Vella Diego Muñoz Matt McKague Margot Brereton Peter Ellis 

机构地区：[1]School of Computer Science,Queensland University of Technology,Brisbane,Australia [2]Centre for Data Science,Queensland University of Technology,Brisbane,Australia [3]Centre for Design Innovation,Swinburne University of Technology,Melbourne,Australia [4]School of Environment and Science,Griffith University,Brisbane,Australia

出　　处：《Forensic Sciences Research》2022年第3期467-483,共17页法庭科学研究（英文）

基　　金：This research was funded by Queensland University of Technology’s Institute for Future Environments.

摘　　要：Disaster victim identification(DVI)entails a protracted process of evidence collection and data matching to reconcile physical remains with victim identity.Technology is critical to DVI by enabling the linkage of physical evidence to information.However,labelling physical remains and collecting data at the scene are dominated by low-technology paper-based practices.We ask,how can technology help us tag and track the victims of disaster?Our response to this question has two parts.First,we conducted a human–computer interaction led investigation into the systematic factors impacting DVI tagging and tracking processes.Through interviews with Australian DVI practitioners,we explored how technologies to improve linkage might fit with prevailing work practices and preferences;practical and social considerations;and existing systems and processes.We focused on tagging and tracking activities throughout the DVI process.Using insights from these interviews and relevant literature,we identified four critical themes:protocols and training;stress and stressors;the plurality of information capture and management systems;and practicalities and constraints.Second,these findings were iteratively discussed by the authors,who have combined expertise across electronics,data science,cybersecurity,human–computer interaction and forensic pathology.We applied the themes identified in the first part of the investigation to critically review technologies that could support DVI practitioners by enhancing DVI processes that link physical evidence to information.This resulted in an overview of candidate technologies matched with consideration of their key attributes.This study recognises the importance of considering human factors that can affect technology adoption into existing practices.Consequently,we provide a searchable table(as Supplementary information)that relates technologies to the key considerations and attributes relevant to DVI practice,for readers to apply to their own context.While this research directly contributes to D

关 键 词：Forensic sciences DISASTER DVI tagging tracking EVIDENCE chain of custody RFID human factors WORKFLOW 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]