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Accepted for/Published in: JMIR Formative Research

Date Submitted: Nov 3, 2025
Date Accepted: Jan 28, 2026

The final, peer-reviewed published version of this preprint can be found here:

Exploring Feature Priorities and User Needs in Developing Virtual Study Assistants

Tsai Cs, Lee H, Szewczyk W, Palmer JK, Putnam S, Munson SA, Heffner JL, Vasbinder A, Paullada A, Yuwen W, Reding KW

Exploring Feature Priorities and User Needs in Developing Virtual Study Assistants

JMIR Form Res 2026;10:e86945

DOI: 10.2196/86945

PMID: 41791098

Exploring Feature Priorities and User Needs in Developing Virtual Study Assistants

  • Chi-shan Tsai; 
  • HyunHae Lee; 
  • Warren Szewczyk; 
  • Julia K. Palmer; 
  • Sophie Putnam; 
  • Sean A. Munson; 
  • Jaimee L. Heffner; 
  • Alexi Vasbinder; 
  • Amandalynne Paullada; 
  • Weichao Yuwen; 
  • Kerryn W. Reding

ABSTRACT

This formative research explored health science researchers’ perspectives on the development of an artificial intelligence-based Virtual Study Assistant (AI-based VSA) and identified eight potential features and their priorities.


 Citation

Please cite as:

Tsai Cs, Lee H, Szewczyk W, Palmer JK, Putnam S, Munson SA, Heffner JL, Vasbinder A, Paullada A, Yuwen W, Reding KW

Exploring Feature Priorities and User Needs in Developing Virtual Study Assistants

JMIR Form Res 2026;10:e86945

DOI: 10.2196/86945

PMID: 41791098

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