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Exploratory study of a system to reduce information overload and tunnel vision in homicide investigations

Authors :
Marloes Vredenborg
Daan Sutmuller
Mariƫlle den Hengst-Bruggeling
Judith Masthoff
Source :
Journal of Universal Computer Science, Vol 28, Iss 8, Pp 827-853 (2022)
Publication Year :
2022
Publisher :
Graz University of Technology, 2022.

Abstract

In homicide investigations, the growing availability of data results in an increasing amount of information and Persons of Interest (PoIs) that can be collected and incorporated during an investigation. This might result in information overload and increased tunnel vision during a homicide investigation. In this paper, we designed a system to support homicide investigations in such a way that it reduces information overload and tunnel vision. For evaluation purposes, we built a prototype that was filled with a fictional homicide investigation. A user study indicated that criminal investigators experienced a significantly low level of information overload and tunnel vision using the prototype. Moreover, the results showed acceptable usability and verbal statements indicated a largely positive attitude towards the prototype. This research clearly shows the opportunity to use interface design artefacts to support the prevention of information overload and tunnel vision.

Details

Language :
English
ISSN :
09486968
Volume :
28
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Journal of Universal Computer Science
Publication Type :
Academic Journal
Accession number :
edsdoj.fd87a7efb5424b16a1698ad6d28901b3
Document Type :
article
Full Text :
https://doi.org/10.3897/jucs.85648