Summary of Mindguard: Towards Accessible and Sitgma-free Mental Health First Aid Via Edge Llm, by Sijie Ji et al.
MindGuard: Towards Accessible and Sitgma-free Mental Health First Aid via Edge LLM
by Sijie Ji, Xinzhe Zheng, Jiawei Sun, Renqi Chen, Wei Gao, Mani Srivastava
First submitted to arxiv on: 16 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces MindGuard, a mobile mental healthcare system designed to provide mental health first aid. It combines an innovative edge language model (LLM) with professional mental health knowledge and integrates objective sensor data with subjective momentary assessment records to deliver personalized screening and intervention conversations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary MindGuard is a new way for people to get help with their mental health without feeling embarrassed or ashamed. The system uses a special kind of AI to understand what’s going on in someone’s mind, and it can even talk to them about how they’re feeling. This is really important because many people don’t seek help because they’re worried about what others might think. |
Keywords
» Artificial intelligence » Language model
