Helping Professionals Select Persona Interview Questions Using Natural Language Processing



: Salminen Joni, Chhirang Kamal, Jung Soon-gyo, Jansen Bernard J.

: Carmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda, Kori Inkpen

: IFIP Conference on Human-Computer Interaction

Publisher: Springer Science and Business Media Deutschland GmbH

: Cham

: 2021

: Lecture Notes in Computer Science

: Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Bari, Italy, August 30 – September 3, 2021, Proceedings, Part III

: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

: Lecture Notes in Computer Science

: 12934

: 280

: 290

: 978-3-030-85612-0

: 978-3-030-85613-7

: 0302-9743

DOI: https://doi.org/10.1007/978-3-030-85613-7_20


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.



Last updated on 2024-26-11 at 12:34