Among team members, we (like much of the global research community) have followed the progress of AI-based language generator tools, such as Open AI’s GPT-3. Previously, we published a post with AI-generated content. In this post, we will briefly explore GPT-3’s ability to generate code for persona generation. This is a challenging task, because it […]
AI can generate code to generate personas! Read More »
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 Quantitative method and discuss the strengths and weaknesses of this methodology for persona development.
Quantitative Personas: Strengths and Weaknesses Read More »
What is Gender and Inclusive HCI Design? User-Sensitive Inclusive Design is a concept that embraces designing for marginalized groups of people and considering different types of users. This includes considering users’ gender while designing or evaluating software, websites, or other digital technology. Empirical research has shown gender differences in software and other digital technology use.
Gender-Inclusive HCI Read More »
There are a few different ways that personas can be used for marketing purposes. One way is to use them to segment your target market and create targeted marketing campaigns. Another way is to use personas to create more personalized and targeted content. Lastly, personas can also be used to help you understand your target
How to use personas for marketing? Read More »
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
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
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 »
