Despite the existence of various methods and abstraction techniques to reduce the privacy risk of process
models generated by process mining algorithms, it is unclear how process mining stakeholders perceive
privacy violations. In this pilot-study various process model visualisations were shown to 6 stakeholders of a
travel expense claim process. While changing the abstraction levels of these visualisations, the stakeholders
were asked whether they perceived a violation of their privacy. The results show that there are differences in
how individual stakeholders perceive privacy violations of process models generated via process mining
algorithms. Results differ per type of visualization, type of privacy risk reducing methods, changes of
abstraction level and stakeholder role. To reduce the privacy risk, the interviewees suggested to include an
authorization table in the process mining tool, communicate the goal of the analysis with all stakeholders, and
validate the analysis with a privacy officer. It is suggested that future research focuses on discussing and
validating process visualisations and privacy risk reducing methods and techniques with various process
mining stakeholders in organisations. This is expected to reduce perceived violations and prevents developing
techniques that are aimed at reducing privacy risk but are not considered as such by stakeholders.
Multifile
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