The visualisation of cognitive structures in forensic statements

WANG, Jing, HO, Yufang, XU, Zhijie, MCINTYRE, Dan and LUGEA, Jane (2016). The visualisation of cognitive structures in forensic statements. In: BANISSI, Ebad, BANNATYNE, Mark W. McK., BOUALI, Fatma, BURKHARD, Remo, COUNSELL, John, CVEK, Urska, EPPLER, Martin J., GRINSTEIN, Georges, HUANG, Wei Dong, KERNBACH, Sebastian, LIN, Chun-Cheng, LIN, Feng, MARCHESE, Francis T., PUN, Chi Man, SARFRAZ, Muhammad, TRUTSCHL, Marjan, URSYN, Anna, VENTURINI, Gilles, WYELD, Theodor G. and ZHANG, Jian J., (eds.) 2016 20th International Conference Information Visualisation (IV). IEEE.

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Official URL: http://ieeexplore.ieee.org/document/7557912/
Link to published version:: https://doi.org/10.1109/IV.2016.60

Abstract

Forensic statements are often unstructured, intricate, and thus difficult to interpret and assess. This is due to the varied nature and format of how interviews with victims, witnesses, or suspects are conducted. It is even more difficult for police investigators, lawyers or other legal practitioners to grasp intuitively and accurately the key information pertaining within the varied statements. This research investigates the opportunities in the convergence of linguistic approaches to extracting and reconstructing the cognitive structure, i.e. “Text-Worlds”, in a statement, and the computerised operational settings for enabling effective and hopefully more accurate interpretation of forensic discourse through visualisation.

Item Type: Book Section
Additional Information: Paper presented at the 20th International Conference Information Visualisation : Computer Graphics, Imaging and Visualisation - Biomedical Visualization, Visualisation on Built and Rural Environments & Geometric Modelling and Imaging. 19 - 22 July 2016. Universidade NOVA de Lisboa, Lisbon, Portugal. Electronic ISSN: 2375-0138 INSPEC Accession Number: 16269033
Departments: Faculty of Science, Technology and Arts > Computing
Identification Number: https://doi.org/10.1109/IV.2016.60
Depositing User: Jing Wang
Date Deposited: 26 Mar 2018 12:24
Last Modified: 27 Mar 2018 07:44
URI: http://shura.shu.ac.uk/id/eprint/18878

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