human computer interaction user understanding technique

Resources about the book, Data-Driven Personas

Several resources about the book, Data-Driven Personas, are available! The book … Jansen, B. J., Salminen, J., Jung, S.G., and Guan, K. (2021). Data-Driven Personas. Synthesis Lectures on Human-Centered Informatics,1 Carroll, J. (Ed). Morgan-Claypool: San Rafael, CA., 4:1, i-317. Data-Driven Personas on Amazon. Associated Resources The website … Data-Driven Personas http://www.data-drivenpersonas.com The infographic … Data-Driven Persona Book Infographic http://www.bernardjjansen.com/uploads/2/4/1/8/24188166/data-driven_personas_book_infographic.pdf The […]

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Introduction to Data-Driven Personas Book by Kathleen Guan (co-author)

Hey!, check out this great YouTube video introduction to the book, Data-Driven Personas, by Kat Guan! Kathleen Guan is a research consultant and founder of KWG Global, a research consultancy dedicated to bridging academia and industry. She has a Bachelor of Science in Foreign Service in International Law from Georgetown University, and research training in

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Using Data-Driven Personas with Scenarios, Participatory design, Card sorting, Serious games, or Agile development

Data-Driven Personas are algorithmically created from user behavioral and demographic data. These analytic personas are a valuable Human Computer Interaction (HCI) design technique in themselves, especially when incorporated into an interactive persona analytics system.

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3 Step Process for Deploying Data-Driven Personas in Your Organization

Data-driven personas are algorithmically created from user behavioral and demographic data. They can be a valuable tool in an organization for communication across divisions to get a consistent user understanding. However, we hear from many clients that deploying personas within an organization can be challenging. So, how do you deploy data-driven personas in an organization to

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Use Cases for Interactive Persona Analytics Systems

The APG Team at the Qatar Computing Research Institute (QCRI) has engaged in a multi-year research effort developing a state-of-the-art personas analytics system and associated techniques. The data-driven personas are algorithmically created from user behavioral and demographic data and function as interactive interfaces to the persona system and user data. We have shown in peer

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