Wearable devices increasingly support stress detection, while LLMs enable conversational mental health support. However, designing systems that meaningfully connect wearable-triggered stress events with generative dialogue remains underexplored, particularly from a design perspective. We present EmBot, a functional mobile application that combines wearable-triggered stress detection with LLM-based conversational support for daily stress management. We used EmBot as a design probe in semi-structured interviews with 15 mental health experts to examine their perspectives and surface early design tensions and considerations that arise from wearable-triggered conversational support, informing the future design of such systems for daily stress management and mental health support.
@article{arxiv.2604.04915,
title = {Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management},
author = {Poorvesh Dongre and Sameer Neupane and Priyanka Jadhav and Nikitha Donekal Chandrashekar and Christian Webb and Denis Gračanin},
journal= {arXiv preprint arXiv:2604.04915},
year = {2026}
}