helpResearch questionWearable, Sensing, and Physiological Monitoring
Can LLM-generated reasoning content help mental health professionals improve diagnosis and treatment in clinical settings?Health, Healthcare, and Wellbeing / Wearable, Sensing, and Physiological Monitoring
Can LLM-generated reasoning content help mental health professionals improve diagnosis and treatment in clinical settings?
Similar questions
helpResearch questionWearable, Sensing, and Physiological Monitoring
How do atrial fibrillation (AF) patients use consumer technologies such as wearables for daily self-care?helpResearch questionWearable, Sensing, and Physiological Monitoring
How can consumer technology support clinical decision-making and communication through patient-generated data for AF patients?helpResearch questionWearable, Sensing, and Physiological Monitoring
What role does technology play in alleviating or exacerbating AF patients' bodily perception uncertainty?helpResearch questionWearable, Sensing, and Physiological Monitoring
Can LLMs effectively analyze behavioral data from mobile and wearable devices to generate meaningful clinical insights?helpResearch questionWearable, Sensing, and Physiological Monitoring
Can chain-of-thought (CoT) methods improve LLM reasoning ability in multi-sensor behavioral data analysis?helpResearch questionWearable, Sensing, and Physiological Monitoring
Can non-contact RF sensing accurately distinguish respiration, mobility behavior, and sleep characteristics between systemic lupus erythematosus (SLE) patients and healthy individuals through signals captured in daily living environments?UbiComp '23Digital Phenotyping Using Non-Contact RF Sensing Technology: A Longitudinal Study Comparing Systemic Lupus Erythematosus and Healthy Participants
Related papers
CHI 2025
Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care
Rachel Keys, Paul Marshall, Graham Stuart
UbiComp 2024
From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models
Zachary Englhardt, Chengqian Ma, Margaret E Morris
IUI 2022
FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling using an Eyeglasses-based Wearable
Abdelkareem Bedri, Yuchen Liang, Sudershan Boovaraghavan
IUI 2021
An Activity Recognition System for Taking Medicine Using In-The-Wild Data to Promote Medication Adherence
Josh Cherian, Samantha Ray, Tracy Hammond