This paper is in the following e-collection/theme issue:

User-centred Design Case Studies (564) mHealth in a Clinical Setting (582) Natural Language Processing (644) Web-based and Mobile Health Interventions (3120) HIV/AIDS/STI Prevention and Care (819)

Published on in Vol 9, No 3 (2022): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37350, first published .
Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Authors of this article:

Simone J Skeen1, 2 Author Orcid Image ;   Stephen Scott Jones2 Author Orcid Image ;   Carolyn Marie Cruse2 Author Orcid Image ;   Keith J Horvath3 Author Orcid Image
Article Authors Cited by (10) Tweetations (4) Metrics

Simone J Skeen   1, 2 , MA ;   Stephen Scott Jones   2 , MS ;   Carolyn Marie Cruse   2 , MSW ;   Keith J Horvath   3 , PhD

1 Department of Social, Behavioral, and Population Sciences, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States

2 Department of Psychology, Hunter College, City University of New York, New York, NY, United States

3 Department of Psychology, San Diego State University, San Diego, CA, United States

Corresponding Author:

  • Simone J Skeen, MA
  • Department of Social, Behavioral, and Population Sciences
  • School of Public Health and Tropical Medicine
  • Tulane University
  • 2200-11
  • 1440 Canal Street
  • New Orleans, LA, 70112
  • United States
  • Phone: 1 504 988 1847
  • Email: sskeen@tulane.edu