Helping Professionals Select Persona Interview Questions Using Natural Language Processing

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationHuman-Computer Interaction – INTERACT 2021 - 18th IFIP TC 13 International Conference, Proceedings
EditorsCarmelo Ardito, Rosa Lanzilotti, Alessio Malizia, Alessio Malizia, Helen Petrie, Antonio Piccinno, Giuseppe Desolda, Kori Inkpen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages280-290
Number of pages11
ISBN (Print)9783030856120
DOIs
Publication statusPublished - 2021
Event18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021 - Virtual, Online
Duration: 30 Aug 20213 Sept 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12934 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th IFIP TC 13 International Conference on Human-Computer Interaction, INTERACT 2021
CityVirtual, Online
Period30/08/213/09/21

Keywords

  • Information design
  • Interview questions
  • Personas

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