  People's trust in prediction models can be affected by many factors,
including domain expertise like knowledge about the application domain and
experience with predictive modelling. However, to what extent and why domain
expertise impacts people's trust is not entirely clear. In addition, accurately
measuring people's trust remains challenging. We share our results and
experiences of an exploratory pilot study in which four people experienced with
predictive modelling systematically explore a visual analytics system with an
unknown prediction model. Through a mixed-methods approach involving
Likert-type questions and a semi-structured interview, we investigate how
people's trust evolves during their exploration, and we distil six themes that
affect their trust in the prediction model. Our results underline the
multi-faceted nature of trust, and suggest that domain expertise alone cannot
fully predict people's trust perceptions.
