personas

A Literature Review of Quantitative Persona Creation

Quantitative persona creation (QPC) has tremendous potential, as HCI researchers and practitioners can leverage user data from online analytics and digital media platforms to better understand their users and customers. However, there is a lack of a systematic overview of the QPC methods and progress made, with no standard methodology or known best practices. To

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Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task

Personas are a well-known technique in human-computer interaction. However, there is a lack of rigorous empirical research evaluating personas relative to other methods.  In this 34-participant experiment, my colleagues and I compare a persona system and an analytics system, both using identical user data, for efficiency and effectiveness for a user identification task.  Results show

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Giving Faces to Data by Creating Data-Driven Personas

Creating personas from large amounts of online data is useful but difficult with manual methods. To address this difficulty, we present Automatic Persona Generation (APG), which is an implementation of a methodology for quantitatively generating data-driven personas from online social media data. APG is functional, and it is deployed with several organizations in multiple industry

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