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CHI Persona Analytics Persona Research Personas

Latest Persona Research from CHI2019

The ACM Human Factors in Computing Systems — of CHI for shorthand — is one of the most impactful conferences for persona research, and the largest in the field of human-computer interaction (HCI).

This year, our team had three persona papers at CHI, published as extended abstracts.

Persona research at CHI2019:

Jung, S.G., Salminen, J., and Jansen, B. J. (2019) Personas Changing Over Time: Analyzing Variations of Data-Driven Personas During a Two-Year Period. ACM CHI Conference on Human Factors in Computing Systems (CHI2019) (Extended Abstract), Glasgow, United Kingdom, 4-9 May. Paper No. LBW2714.

Jansen, B. J., Jung, S.G., and Salminen, J. (2019) Creating Manageable Persona Sets from Large User Populations. ACM CHI Conference on Human Factors in Computing Systems (CHI2019) (Extended Abstract), Glasgow, United Kingdom, 4-9 May. Paper No. LBW2713.

Salminen, J., Jung, S.G., and Jansen, B. J. (2019) Detecting Demographic Bias in Automatically Generated Personas. ACM CHI Conference on Human Factors in Computing Systems (CHI2019) (Extended Abstract), Glasgow, United Kingdom, 4-9 May. Paper No. LBW0122.

Read more of our persona research.

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Persona Creation Persona Research Personas

Confusion and Information Triggered by Photos in Persona Profiles

Introduction

For one of our persona research projects we investigate whether additional photos beyond a single headshot makes a persona profile more informative without confusing the end user.

Methods

We conduct an eye-tracking experiment and qualitative interviews with digital content creators after varying the persona in photos via a single headshot, a headshot, and photo of the persona in different contexts, and a headshot with photos of different people with key persona attributes the gender and age.

Findings

Findings show that contextual photos provide significantly more persona information to end users; however, showing photos of multiple people engenders confusion and lowers informativeness. Also, as anticipated, viewing additional photos requires more co.gnitive focus, which is measured by eye-tracking metrics; these metrics are correlated with levels of informativeness and confusion.

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Persona Research Personas Use of Personas User Personas Value of personas

Book Review: Personas – User Focused Design by Lene Nielsen

This review has been co-authored by Willemien Froneman, Joni Salminen, and Jim Jansen.

In the second edition of Personas – User Focused Design, Dr. Lene Nielsen describes a detailed method for implementing personas in development and innovation projects. Dr. Nielsen has pioneered the use of personas in user experience and has more than 20 years’ experience in the field. In addition to writing numerous research articles on personas, she has led masterclasses and workshops and has worked in industry and with government agencies for deployment of personas. Her practical and theoretical experience has culminated in the formulation of “10 steps to personas” – the method outlined and explained in this book.

The book is aimed at managers and team members who are looking to start implementing the persona method in product and service development, and at students who wish to use the method in their projects and who need to be familiar with the practical implications of the persona method as well as its theoretical foundations.

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Data-Driven Personas Persona Creation Personas

Design Issues in Automatically Generated Persona Profiles: A Qualitative Analysis from 38 Think-Aloud Transcripts

In this research, we examine uses in automatically generating personas from online data using qualitative methods.

The increased access to data and computational techniques enable innovations in the space of automated customer analytics, for example, automatic persona generation.

Automatic persona generation is the process of creating data-driven representations from user or customer statistics. Even though automatic persona generation is technically possible and provides advantages compared to manual persona creation regarding the speed and freshness of the personas, it is not clear (a) what information to include in the persona profiles and (b) how to display that information.

To query these aspects relating to the information design of personas, we conducted a user study with 38 participants. In the findings, we report several challenges relating to the design of automatically generated persona profiles, including usability issues, perceptual issues, and issues relating to information content.

Our research has implications for the information design of data-driven personas.

Salminen, J., Sengun, S., Jung, S.G., and Jansen, B. J. (2019) Design Issues in Automatically Generated Persona Profiles: A Qualitative Analysis from 38 Think-Aloud Transcripts. The ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR2019). Glasgow, UK. 10-14 March.

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Benefits of Personas Data-Driven Personas Marketing Personas Persona Analytics Persona Creation Personas Use of Personas

Common Questions About Personas (We’ve Got the Answers!)

Hi!

In this blog post, we’ve gathered some commonly asked questions about personas. Got more questions about personas? Just send us a message and we’ll address your question!

Frequently Asked Persona Questions:

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Marketing Personas Persona Analytics Personas

How can I use a persona for customer segmentation?

Personas are human like descriptions of customer segments. Just like customer segments, you can use the persona technique to divide your overall market into smaller subset that you can then examine individually.

In practice, the best way of using personas for customer segmentation is to apply a technique of data-driven persona creation, such as automatic persona generation. Using this approach, you can create an arbitrary number of personas from your source data; e.g., 5, 10, 50, or 100 personas.

If you are interested in learning more, just contact the persona team!

Jansen, B. J., Salminen, J., and Jung, S.G. (2020) Data-Driven Personas for Enhanced User Understanding: Combining Empathy with Rationality for Better Insights to AnalyticsData and Information Management. 4(1), 1-17.  https://content.sciendo.com/view/journals/dim/4/1/article-p1.xml

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Data-Driven Personas Persona Analytics Personas

How are personas and market segments different?

Personas and market segments are highly similar in the sense that they both are based on real data about the customers. However, the main difference is that personas individualize that data in a representation that has a name, face, and human attributes. In conclusion:

Personas = human like representations of customer groups
Market segments = nameless, faceless descriptions of customer groups

Jansen, B. J., Salminen, J., and Jung, S.G. (2020) Data-Driven Personas for Enhanced User Understanding: Combining Empathy with Rationality for Better Insights to AnalyticsData and Information Management. 4(1), 1-17.  https://content.sciendo.com/view/journals/dim/4/1/article-p1.xml