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

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, US

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

3 Department of Psychology, San Diego State University , San Diego, CA, US

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
  • US
  • Phone: 1 504 988 1847
  • Email: sskeen@tulane.edu