Towards Predicting Hexad User Types from Mobile Banking Data: An Expert Consensus Study

Abstract

The Hexad user types model is often used in the gamification community to tailor gamified systems. However, most often, it requires users to fill out a questionnaire, preventing an automated adaptation of the interactive system. For this reason, we explored the potential of using mobile banking data to automate the profiling of Hexad user types. In our study, we conducted an expert consensus study to research whether a group of experts (N=11) in the field of gamification and banking perceive there is a relation between the Hexad user types and banking data. The results show that experts find this relation present, indicating that automating the calculation of Hexad user types from banking data could be feasible.