Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Currently accepted at: Journal of Medical Internet Research

Date Submitted: Mar 20, 2026
Date Accepted: Jun 24, 2026
Date Submitted to PubMed: Jun 25, 2026

This paper has been accepted and is currently in production.

It will appear shortly on 10.2196/95819

The final accepted version (not copyedited yet) is in this tab.

An "ahead-of-print" version has been submitted to Pubmed, see PMID: 42347701

How US Youth Use AI Chatbots: Conversation Patterns from Naturalistic Keystroke Observations

  • Anne Maheux; 
  • Debra Boeldt; 
  • Samir Akre-Bhide; 
  • Jessica Flannery; 
  • Allison Paige; 
  • Giavanna Villella; 
  • Kaitlyn Burnell; 
  • Eva H Telzer; 
  • Scott Kollins

ABSTRACT

Background:

Youth are increasingly engaging with generative artificial intelligence (genAI) chatbots, yet little is known about the nature of their interactions.

Objective:

This study used naturalistic behavioral observations of keystrokes typed into genAI mobile apps to characterize the topics youth discuss with chatbots.

Methods:

Participants were 3,363 U.S. youth ages ≤9–17 years using the Aura parental monitoring app who engaged in some degree of genAI use. Text input was coded using a large language model with human review.

Results:

Most youth used genAI as a functional tool for problem-solving and information seeking. However, a substantial minority engaged in conversations involving violence, romantic and sexual role-play, and friendship. Younger users showed higher rates of potentially inappropriate content than older teens. Although general-purpose applications (e.g., ChatGPT) were mostly used for task assistance, they were also popular for socioemotional purposes.

Conclusions:

More research is needed examining psychosocial impacts of AI interactions and safety-focused design features.


 Citation

Please cite as:

Maheux A, Boeldt D, Akre-Bhide S, Flannery J, Paige A, Villella G, Burnell K, Telzer EH, Kollins S

How US Youth Use AI Chatbots: Conversation Patterns from Naturalistic Keystroke Observations

Journal of Medical Internet Research. 24/06/2026:95819 (forthcoming/in press)

DOI: 10.2196/95819

URL: https://preprints.jmir.org/preprint/95819

PMID: 42347701

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.