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Comparing Semi-Automated Clustering Methods for Persona Development
May-June 2012 (vol. 38 no. 3)
pp. 537-546
Jonalan Brickey, US Army, Combating Terrorism Center, West Point
Steven Walczak, University of Colorado Denver, Denver
Tony Burgess, United States Military Academy, West Point
Current and future information systems require a better understanding of the interactions between users and systems in order to improve system use and, ultimately, success. The use of personas as design tools is becoming more widespread as researchers and practitioners discover its benefits. This paper presents an empirical study comparing the performance of existing qualitative and quantitative clustering techniques for the task of identifying personas and grouping system users into those personas. A method based on Factor (Principal Components) Analysis performs better than two other methods which use Latent Semantic Analysis and Cluster Analysis as measured by similarity to expert manually defined clusters.

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Index Terms:
Clustering, interaction styles, personas, user-centered design, user interfaces.
Jonalan Brickey, Steven Walczak, Tony Burgess, "Comparing Semi-Automated Clustering Methods for Persona Development," IEEE Transactions on Software Engineering, vol. 38, no. 3, pp. 537-546, May-June 2012, doi:10.1109/TSE.2011.60
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