Title

Comparing Semi-Automated Clustering Methods for Persona Development

Document Type

Article

Publication Date

6-1-2012

Keywords

clustering, interaction styles, personas, user-centered design, user interfaces

Digital Object Identifier (DOI)

http://dx.doi.org/10.1109/TSE.2011.60

Abstract

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.

Comments

This article was written before Steven Walczak was affiliated with the University of South Florida.

Was this content written or created while at USF?

false

Citation / Publisher Attribution

IEEE Transactions on Software Engineering, v. 38, issue 3, p. 537-546