Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Modeling in Therapy01:26

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in situations...
SBAR II: Application of SBAR01:14

SBAR II: Application of SBAR

SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about the way you...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predicting Momentary Suicidal Ideation From Smartphone Screenshots Using Vision-Language Models: Prospective Machine Learning Study.

JMIR mental health·2026
Same author

Initial Suicide-Related Disclosure Characteristics, Motivations, and Outcomes Based on Sexual Orientation.

Journal of clinical psychology·2026
Same author

Computational Modeling of Uncertainty and Volatility Beliefs in Escape-Avoidance Learning: Comparing Individuals with and Without Suicidal Ideation.

Journal of personalized medicine·2025
Same author

Initial Development of a Multidimensional Computerized Adaptive Test for Intensive Longitudinal Assessment of Suicide Risk: Development and Usability Study.

JMIR formative research·2025
Same author

Structural racism and suicide risk among Black youth: A systematic review.

Development and psychopathology·2025
Same author

Smartphone-based text obtained via passive sensing as it relates to direct suicide risk assessment.

Psychological medicine·2025
Same journal

Comparative Evaluation of Pretrained Large Language Models for Suicide Risk Prediction from Clinical Notes in U.S. Veterans.

medRxiv : the preprint server for health sciences·2026
Same journal

Nocturnal Respiratory Rate and Variability Predict Long-term Mortality in Stable Outpatients with Cardiovascular Disease.

medRxiv : the preprint server for health sciences·2026
Same journal

MOSAIC: Methylation-Oriented Site Analysis and Information Classifier for Robust Epigenomic Classification of Acute Leukemia in Clinical Cohorts with Variable Tumor Purity.

medRxiv : the preprint server for health sciences·2026
Same journal

Risk beliefs, intensive digital information and demand for a new preventative health product in public clinics: Evidence from an experiment in Zimbabwe.

medRxiv : the preprint server for health sciences·2026
Same journal

Development of an automated, imaging-based preoperative screening model for early identification of malnutrition in an abdominal surgery cohort.

medRxiv : the preprint server for health sciences·2026
Same journal

A Pilot Project Leveraging Large Language Models for Automated Screening and Variable Extraction in Observational Studies.

medRxiv : the preprint server for health sciences·2026
See all related articles

Related Experiment Video

Updated: Jun 13, 2026

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
07:14

Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

Published on: December 23, 2025

Surfacing Suicidal Risk Through Simulated Social Interaction: Per-Person Language Model Agents as Communicative

Wenpei Shao, Brooke Ammerman, Ross Jacobucci

    Medrxiv : the Preprint Server for Health Sciences
    |June 12, 2026
    PubMed
    Summary
    This summary is machine-generated.

    Suicidal risk signals in digital text can be detected by training AI language models on individual communication. Simulated social interactions reveal these latent signals, aiding in suicide risk assessment.

    More Related Videos

    Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
    09:53

    Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

    Published on: March 13, 2026

    A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
    06:15

    A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

    Published on: July 10, 2017

    Related Experiment Videos

    Last Updated: Jun 13, 2026

    Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models
    07:14

    Virtual Agent for Real-Time Motivational Interviewing by Integrating Adaptive Nonverbal Behavior and Language Models

    Published on: December 23, 2025

    Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery
    09:53

    Humor or Rationality? The Neural Mechanisms of How Agent Type and Language Style Influence Satisfaction with Ride-Hailing Service Failure Recovery

    Published on: March 13, 2026

    A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents
    06:15

    A Modified Trier Social Stress Test for Vulnerable Mexican American Adolescents

    Published on: July 10, 2017

    Area of Science:

    • Artificial Intelligence
    • Computational Psychiatry
    • Digital Phenotyping

    Background:

    • Suicidal risk is challenging to detect in routine digital communication.
    • Latent signals of suicidal ideation may exist within individuals' authored text.
    • Existing digital phenotyping methods may not capture subtle communication patterns.

    Purpose of the Study:

    • To develop and validate a method for surfacing latent suicidal risk signals in digital communication.
    • To assess the efficacy of personalized language model agents in simulated social interactions.
    • To bridge generative AI, digital phenotyping, and suicide theory.

    Main Methods:

    • Trained personalized language model agents (LoRA adapters on Qwen3-8B) on authored text from 79 adults with recent suicidal ideation.
    • Placed agents in simulated social interactions (communicative stress tests) with probe personas.
    • Correlated agent-generated risk language with Ecological Momentary Assessment (EMA)-measured suicidal ideation.

    Main Results:

    • Agent-generated risk language significantly correlated with EMA-measured suicidal ideation (r = .576, p < .001).
    • A single neutral small-talk probe showed strong performance (r = .551).
    • The signal was confirmed as person-specific, unlike general smartphone activity data.

    Conclusions:

    • Simulated social interaction can amplify latent vulnerability signals in digital communication.
    • This approach offers a novel method for suicide risk detection by combining generative AI and digital phenotyping.
    • The findings support the potential of AI-driven communicative stress tests for mental health assessment.