Helping Professionals Select Persona Interview Questions Using Natural Language Processing
Abstract
Personas are often created based on user interviews. Yet, researchers rarely make their interview questions publicly available or justify how they were chosen. We manually extract 276 interview questions and categorize them into 10 themes, making this list publicly available for researchers and practitioners. We also demonstrate an approach of using natural language processing to assist in selecting persona interview questions for a given use case.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
|---|
