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People's trust in prediction models can be affected by many factors,including domain expertise like knowledge about the application domain andexperience with predictive modelling. However, to what extent and why domainexpertise impacts people's trust is not entirely clear. In addition, accuratelymeasuring people's trust remains challenging. We share our results andexperiences of an exploratory pilot study in which four people experienced withpredictive modelling systematically explore a visual analytics system with anunknown prediction model. Through a mixed-methods approach involvingLikert-type questions and a semi-structured interview, we investigate howpeople's trust evolves during their exploration, and we distil six themes thataffect their trust in the prediction model. Our results underline themulti-faceted nature of trust, and suggest that domain expertise alone cannotfully predict people's trust perceptions.

Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise