Chapters for Data-Driven Personas, a Morgan-Claypool Publication

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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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Making Meaningful User Segments from Datasets Using Product Dissemination and Product Impact

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As paper-based personas move to interactive persona analytics systems, online companies face large user populations, making segmentation a daunting exercise, along with creating actionable data-driven personas from these large datasets. In this research, we demonstrate an approach that facilitates user segmentation. The approach leverages product dissemination and product impact metrics with normalized Shannon entropy. 

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Artificial and Real Images

How suitable are artificially generated facial pictures in data-driven personas?

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In a previous post, we analyzed the demographic Bias in Artificially Generated Facial Pictures that raised a concern that the generated images might not fairly represent all demographic groups. In this post, we discuss if these artificially generated pictures are good enough for use in personas profiles for real-world systems and applications,  which are highly

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