Re ection machines: an implementation that generates personalized questions based on an o cer's frisking behaviour
Keywords
Loading...
Authors
Issue Date
2022-02-25
Language
en
Document type
Journal Title
Journal ISSN
Volume Title
Publisher
Title
ISSN
Volume
Issue
Startpage
Endpage
DOI
Abstract
Police policies that include selection procedures based on pro les have in-
creasingly been leading to discussions regarding ethnic pro ling, resulting
in measures that decrease police autonomy and e ectiveness. This thesis
proposes a solution that supports police o cers during a virtual street frisk-
ing task by increasing their bias awareness. This is done by implementing
a re
ection machine, a speci c kind of decision support system. The re
ec-
tion machine asks personalized questions by monitoring the user's behaviour
during the selection procedure and estimating the user's bias. Based on the
estimated bias the user receives personalized questions from one of four cat-
egories, each category predicting a certain type of bias. The implemented
re
ection machine is adaptive to the location of the frisking task and pro-
duces analyzable output. Whether the implemented re
ection machine is
e ective in increasing the bias awareness is yet to be determined, but it has
proven to be an interesting concept with a lot of room for further research
and improvement.
Description
Citation
Supervisor
Faculty
Faculteit der Sociale Wetenschappen