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Creating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering

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Abstract

Personas are models of users that incorporate motivations, wishes, and objectives; These models are employed in user-centred design to help design better user experiences and have recently been employed in adaptive systems to help tailor the personalized user experience. Designing with personas involves the production of descriptions of fictitious users, which are often based on data from real users. The majority of data-driven persona development performed today is based on qualitative data from a limited set of interviewees and transformed into personas using labour-intensive manual techniques. In this study, we propose a method that employs the modelling of user stereotypes to automate part of the persona creation process and addresses the drawbacks of the existing semi-automated methods for persona development. The description of the method is accompanied by an empirical comparison with a manual technique and a semi-automated alternative (multiple correspondence analysis). The results of the comparison show that manual techniques differ between human persona designers leading to different results. The proposed algorithm provides similar results based on parameter input, but was more rigorous and will find optimal clusters, while lowering the labour associated with finding the clusters in the dataset. The output of the method also represents the largest variances in the dataset identified by the multiple correspondence analysis.

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Acknowledgements

This study was part of the ELDORADO project “Preventing malnourishment and promoting well-being among the older adults at home through personalized cost-effective food and meal supply” supported by a grant (4105-00009B) from the Innovation Fund Denmark.

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  1. Aalborg University Copenhagen, A. C. Meyers Vænge 15, 2450, Copenhagen, Denmark

    Dannie Korsgaard, Thomas Bjørner & Pernille Krog Sørensen

  2. IT University, Rued Langgaards Vej 7, 2300, Copenhagen, Denmark

    Paolo Burelli

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  1. Dannie Korsgaard
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Korsgaard, D., Bjørner, T., Sørensen, P.K. et al. Creating user stereotypes for persona development from qualitative data through semi-automatic subspace clustering. User Model User-Adap Inter 30, 81–125 (2020). https://doi.org/10.1007/s11257-019-09252-5

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