April 2020

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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Manually and Automatically Generated Personas

While there have been attempts to “modernize” personas by automating their creation and tying the concept to behavioral online analytics data, the question remains: can data-driven personas offer efficiency and/or effectiveness value relative to other analytics approaches and data representations for user understanding tasks? This question remains largely unaddressed in the previous research, even for personas

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