Persona Research

Data-Driven Persona Book: 3 Appendices for Making Personas Actionable

We are putting the finished touches on our book, Data-Driven Personas by Bernard J. Jansen, Joni O. Salminen, Soon-Gyo Jung, and Kathleen Guan, Hamad Bin Khalifa University (HBKU) and University College London. Morgan & Claypool Publishers. The book is comprised of 12 chapters (10 content chapters, plus an introduction and conclusion chapter) divided into 6

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Theory of Personas: What Has Been Written About the Psychological Relationship Between Personas and Their Users?

In this blog post, the APG team and Kathleen Guan join to summarize some key aspects in the theory of “why personas work,” grounded in notions from social psychology. Enjoy reading! Introduction to Theory of Personas How do people form a connection with personas? What information plays a role? When does connecting take place? When

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Rethinking Personas for Fairness: Algorithmic Transparency and Accountability in Data-Driven Personas

Algorithmic fairness criteria for machine learning models are gathering widespread research interest. They are also relevant in the context of data-driven personas that rely on online user data and opaque algorithmic processes.  Overall, while technology provides lucrative opportunities for the persona design practice, several ethical concerns need to be addressed to adhere to ethical standards

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Enriching Social Media Personas with Personality Traits: A Deep Learning Approach Using the Big Five Classes

In research led by Jon Salminen, to predict the personality traits of data-driven personas, we apply an automatic persona generation methodology to generate 15 personas from the social media data of an online news organization. After generating the personas, we aggregate each personas’ YouTube comments and predict the “Big Five” personality traits of each persona from

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