Enabled by digital user data and algorithms, persona user interfaces (UI) are moving to digital formats. However, algorithms and user data, if left unexplained to end-users, might leave data-driven personas (DDPs) difficult to understand and trust.
This is because the data and the way it is processed are complex and not self-evident, requiring explanations of the DDP information and UIs.
In this research, we provide a proof of concept for adding transparency to DDP using a real system UI.
Furthermore, we demonstrate ways to add breakdown information that can help alleviate user stereotyping associated with the use of personas.
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Jung, S.G., Salminen, J., and Jansen, B. J. (2020) Explaining Data Driven Personas to End Users. Proceedings of the Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020). Cagliari, Italy, 17 March 17.
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