2026/04/06 by Poorvesh Dongre, Sameer Neupane, Priyanka Jadhav +5 · 1 voice
Computer Science · Decision Sciences · Psychology · #Action (physics) #Conversation analysis #Digital Mental Health Interventions #Innovative Human-Technology Interaction #Personal Information Management and User Behavior #Process (computing) #Self-management #Stress (linguistics) #Stress management #cs.HC
paper · pdf · doi:10.1145/3786579.3804960
openalex publication_date 2026/07/02 · openalex created_date 2026/07/03 · openalex updated_date 2026/07/29
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.