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

Theme Issue 2023 : Responsible Design, Integration, and Use of Generative AI in Mental Health (12) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Artificial Intelligence (1371) Development and Evaluation of Research Methods, Instruments and Tools (481) Depression and Mood Disorders; Suicide Prevention (1363) Generative Language Models Including ChatGPT (311) Chatbots and Conversational Agents (531) Web-based and Mobile Health Interventions (3297)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56569, first published .
The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis

The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis

The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals With Depression: A Critical Analysis

Authors of this article:

Andrea Ferrario1, 2 Author Orcid Image ;   Jana Sedlakova1, 3, 4 Author Orcid Image ;   Manuel Trachsel5, 6, 7 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually