A4 Refereed article in a conference publication
Helping Professionals Select Persona Interview Questions Using Natural Language Processing
Authors: Salminen Joni, Chhirang Kamal, Jung Soon-gyo, Jansen Bernard J.
Editors: Carmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda, Kori Inkpen
Conference name: IFIP Conference on Human-Computer Interaction
Publisher: Springer Science and Business Media Deutschland GmbH
Publishing place: Cham
Publication year: 2021
Journal: Lecture Notes in Computer Science
Book title : Human-Computer Interaction – INTERACT 2021: 18th IFIP TC 13 International Conference, Bari, Italy, August 30 – September 3, 2021, Proceedings, Part III
Journal name in source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Series title: Lecture Notes in Computer Science
Volume: 12934
First page : 280
Last page: 290
ISBN: 978-3-030-85612-0
eISBN: 978-3-030-85613-7
ISSN: 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.
