April 2021

Data Driven Personas Book Video by Jim Jansen

Check out this video about the book, Data-Driven Personas! https://lnkd.in/deu9CjQ Data Driven Personas Book Video by Jim Jansen 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.

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Persona Creator: Make data-driven personas quickly with APG

With increasing access to analytics data, personas are more and more generated from online user statistics using big data and algorithmic approaches. This integration offers new opportunities to shift personas from flat files of data presentation to that of interactive interfaces for analytics systems. This transition towards the concept of “persona as interface” to a

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A Survey of 15 Years of Data-Driven Persona Development

Data-driven persona development unifies methodologies for creating robust personas from the behaviors and demographics of user segments. Data-driven personas have gained popularity in human-computer interaction due to digital trends such as personified big data, online analytics, and the evolution of data science algorithms. Even with its increasing popularity, there is a lack of a systematic

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Personas Methods Research

In addition to developing persona analytics systems and features to create accurate and precise data-driven personas, the APG Team also conducts persona analytics research. Here some of the APG team’s research articles about data-driven personas and persona methods. Check ’em out! Jansen, B. J., Jung, S.G., Salminen, J., Nielsen, L., and Guan, K.W. (2021) Strengths

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Three Data Types for Personas

The Basics of Data-Driven Personas Data-driven personas can be generated from almost any data. Essentially, the generation consists of two steps: (1) pattern seeking, and (2) enrichment. The first part – pattern seeking – means that we need to identify some regularities (i.e., patterns) from the dataset. This is typically done using dimensionality reduction, e.g.,

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The Ability of Personas to Alter Incorrect Preconceptions About Customers

False preconceptions about customers can result in poor design, product development, and marketing decisions, so rectifying these preconceptions is essential for businesses. In this research, we quantitatively evaluates the ability of data-driven personas to alter decision makers’ preconceptions about their online social media users. Conduct a within-participant experiment of 31 professionals carrying out a workplace

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