Social Simulation for Everyday Self-Care: Design Insights from Leveraging VR, AR, and LLMs for Practicing Stress Relief

Authors

Anna Fang (ORCID: https://orcid.org/0000-0003-0055-3011)
Haiyi Zhu (ORCID: https://orcid.org/0000-0001-7271-9100)
Hriday Chhabria (ORCID: https://orcid.org/0009-0008-3452-8942)
Alekhya Maram

Institutions

University of Michigan (US)
Carnegie Mellon University (US)
Barnard College (US)

Publication Details

Published: 2025-04-24
DOI: https://doi.org/10.1145/3706598.3713115
Citations: 2
Primary Topic: Digital Mental Health Interventions
Type: article
Field-Weighted Citation Impact: 3.09

Funders

Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University

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article

Social Simulation for Everyday Self-Care: Design Insights from Leveraging VR, AR, and LLMs for Practicing Stress Relief

Anna Fang, Haiyi Zhu, Hriday Chhabria, Alekhya Maram

Apr 24, 2025

2 citations

Digital Mental Health Interventions

3.09

article

Social Simulation for Everyday Self-Care: Design Insights from Leveraging VR, AR, and LLMs for Practicing Stress Relief

Anna Fang, Haiyi Zhu, Hriday Chhabria, Alekhya Maram

April 24, 2025article en

2 citations

Abstract

No abstract available for this paper.

University of Michigan (US), Carnegie Mellon University (US), Barnard College (US)

Center for Machine Learning and Health, School of Computer Science, Carnegie Mellon University

Openalex Percentile: Top 9%

Digital Mental Health Interventions

3.09

DOI Open Access PDF OpenAlex

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