Practicing Stress Relief for the Everyday: Designing Social Simulation Using VR, AR, and LLMs

Fuente: arXiv
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Autores principales: Fang, Anna, Chhabria, Hriday, Maram, Alekhya, Zhu, Haiyi
Formato: Preprint
Publicado: 2024
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author Fang, Anna
Chhabria, Hriday
Maram, Alekhya
Zhu, Haiyi
author_facet Fang, Anna
Chhabria, Hriday
Maram, Alekhya
Zhu, Haiyi
contents Stress is an inevitable part of day-to-day life yet many find themselves unable to manage it themselves, particularly when professional or peer support are not always readily available. As self-care becomes increasingly vital for mental well-being, this paper explores the potential of social simulation as a safe, virtual environment for practicing stress relief for everyday situations. Leveraging the immersive capabilities of VR, AR, and LLMs, we developed eight interactive prototypes for various everyday stressful scenarios (e.g. public speaking) then conducted prototype-driven semi-structured interviews with 19 participants. We reveal that people currently lack effective means to support themselves through everyday stress and found that social simulation fills a gap for simulating real environments for training mental health practices. We outline key considerations for future development of simulation for self-care, including risks of trauma from hyper-realism, distrust of LLM-recommended timing for mental health recommendations, and the value of accessibility for self-care interventions.
format Preprint
id arxiv_https___arxiv_org_abs_2410_01672
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Practicing Stress Relief for the Everyday: Designing Social Simulation Using VR, AR, and LLMs
Fang, Anna
Chhabria, Hriday
Maram, Alekhya
Zhu, Haiyi
Human-Computer Interaction
Stress is an inevitable part of day-to-day life yet many find themselves unable to manage it themselves, particularly when professional or peer support are not always readily available. As self-care becomes increasingly vital for mental well-being, this paper explores the potential of social simulation as a safe, virtual environment for practicing stress relief for everyday situations. Leveraging the immersive capabilities of VR, AR, and LLMs, we developed eight interactive prototypes for various everyday stressful scenarios (e.g. public speaking) then conducted prototype-driven semi-structured interviews with 19 participants. We reveal that people currently lack effective means to support themselves through everyday stress and found that social simulation fills a gap for simulating real environments for training mental health practices. We outline key considerations for future development of simulation for self-care, including risks of trauma from hyper-realism, distrust of LLM-recommended timing for mental health recommendations, and the value of accessibility for self-care interventions.
title Practicing Stress Relief for the Everyday: Designing Social Simulation Using VR, AR, and LLMs
topic Human-Computer Interaction
url https://arxiv.org/abs/2410.01672