Problem
Research questions and friction points this paper is trying to address.
wearable-triggered stress
LLM conversational support
daily stress management
mental health
system design
Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management
π€ AI Summary
This study explores the effective integration of stress events detected by wearable devices with large language model (LLM)-driven conversational support for everyday stress management. To this end, we developed EmBot, a mobile application that combines real-time physiological signal triggering with generative dialogue. Through semi-structured interviews with 15 mental health professionals, we systematically analyzed the design considerations and key tensions inherent in this integration. As the first work to investigate, from a design perspective, the synergy between wearable-triggered interventions and LLM-powered conversations in mental health support, this research proposes a novel paradigm for daily stress intervention and distills core design principles and practical recommendations to inform the development of future intelligent mental health systems.
π Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
wearable-triggered stress detection
LLM-based conversational support
design probe
mental health intervention
stress management
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