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Health, Healthcare, and Wellbeing / Wearable, Sensing, and Physiological Monitoring

Through uncertainty estimation, can models reliably filter high-quality signals in dynamic environments?

helpResearch questionWearable, Sensing, and Physiological Monitoring

Through uncertainty estimation, can models reliably filter high-quality signals in dynamic environments?

UbiComp '22BayesBeat: Reliable Atrial Fibrillation Detection from Noisy Photoplethysmography Data

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helpResearch questionWearable, Sensing, and Physiological Monitoring

How do atrial fibrillation (AF) patients use consumer technologies such as wearables for daily self-care?

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation 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?

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

helpResearch questionWearable, Sensing, and Physiological Monitoring

What role does technology play in alleviating or exacerbating AF patients' bodily perception uncertainty?

CHI '25Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

helpResearch questionWearable, Sensing, and Physiological Monitoring

Can LLMs effectively analyze behavioral data from mobile and wearable devices to generate meaningful clinical insights?

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

helpResearch questionWearable, Sensing, and Physiological Monitoring

Can chain-of-thought (CoT) methods improve LLM reasoning ability in multi-sensor behavioral data analysis?

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

helpResearch questionWearable, Sensing, and Physiological Monitoring

Can LLM-generated reasoning content help mental health professionals improve diagnosis and treatment in clinical settings?

UbiComp '24From Classification to Clinical Insights: Towards Analyzing and Reasoning About Mobile and Behavioral Health Data With Large Language Models

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Rethinking Lived Experience in Chronic Illness: Navigating Bodily Doubt with Consumer Technology in Atrial Fibrillation Self-Care

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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

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

An Activity Recognition System for Taking Medicine Using In-The-Wild Data to Promote Medication Adherence

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