Month: October 2022

Creating More Personas Improves Representation of Demographically Diverse Populations: Implications Towards Interactive Persona Systems

Personas represent distinct user types. However, while online user data can be demographically and behaviorally heterogeneous, most studies generate less than ten personas, regardless of how heterogeneous the data is. Because all persona creation efforts need to assign a number of personas to create, assigning this number evokes a fundamental question, How many personas to …

Creating More Personas Improves Representation of Demographically Diverse Populations: Implications Towards Interactive Persona Systems Read More »

Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas

Algorithmically generated personas can help organizations understand their social media audiences. However, when using algorithms to create personas from social media user data, the resulting personas may contain toxic quotes that negatively affect content creators’ perceptions of the personas. To address this issue, we have implemented toxicity detection in an algorithmic persona generation system capable …

Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas Read More »

Personas for your non-customers – the Edge, the Refuse, and Unknown non-customers

Personas can be a force multiplier in reaching your three categories of non-customers – the Edge Non-customers, the Refuse Non-customers, and Unknown Non-customers. Algorithmically-Generated Personas are great for humanized representation of your existing customers presented in understandable chunks of information. These data-driven personas are great for team communication while creating content and designing systems, along …

Personas for your non-customers – the Edge, the Refuse, and Unknown non-customers Read More »

Ideas for Persona Research Using Quantitative User Analytics

What Are Personas and Why Should We Care? Personas, commonly applied in human-computer interaction (HCI) (Cooper, 1999), design (Aoyama, 2007), and business domains such as marketing and sales (Salminen et al., 2018), are fictional depictions of end-users, patients, customers, or other groups of interest (Cooper, 1999). Personas are cited to have many benefits, at least …

Ideas for Persona Research Using Quantitative User Analytics Read More »

Qualitative Personas: Strengths and Weaknesses

Personas are a technique for enhanced understanding of users and customers to improve the user-centered design of systems and products. Their creation can be categorized using three persona creation methodologies: Qualitative, Quantitative, and Mixed Methods. In this post, we describe the Qualitative method and discuss the strengths and weaknesses of this methodology for persona development. …

Qualitative Personas: Strengths and Weaknesses Read More »

Creating More Personas Improves Representation of Demographically Diverse Populations: Implications Towards Interactive Persona Systems

Personas represent distinct user types. However, while online user data can be demographically and behaviorally heterogeneous, most studies generate less than ten personas, regardless of how heterogeneous the data is. Because all persona creation efforts need to assign a number of personas to create, assigning this number evokes a fundamental question, How many personas to …

Creating More Personas Improves Representation of Demographically Diverse Populations: Implications Towards Interactive Persona Systems Read More »

Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas

Algorithmically generated personas can help organizations understand their social media audiences. However, when using algorithms to create personas from social media user data, the resulting personas may contain toxic quotes that negatively affect content creators’ perceptions of the personas. To address this issue, we have implemented toxicity detection in an algorithmic persona generation system capable …

Intentionally Biasing User Representation?: Investigating the Pros and Cons of Removing Toxic Quotes from Social Media Personas Read More »