Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management
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arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866915918055997440 |
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| author | Dongre, Poorvesh Neupane, Sameer Jadhav, Priyanka Chandrashekar, Nikitha Donekal Webb, Christian Gračanin, Denis |
| author_facet | Dongre, Poorvesh Neupane, Sameer Jadhav, Priyanka Chandrashekar, Nikitha Donekal Webb, Christian Gračanin, Denis |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_04915 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management Dongre, Poorvesh Neupane, Sameer Jadhav, Priyanka Chandrashekar, Nikitha Donekal Webb, Christian Gračanin, Denis Human-Computer Interaction 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. |
| title | Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.04915 |