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GLOSS: Group of LLMs for Open-ended Sensemaking of Passive Sensing Data for Health and Wellbeing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Activity Recognition from User-Annotated Acceleration Data
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Design Factors of Longitudinal Smartphone-based Health Surveys
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Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector
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Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect
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Deep learning paired with wearable passive sensing data predicts deterioration in anxiety disorder symptoms across 17–18 years
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Personal discovery in diabetes self-management: Discovering cause and effect using self-monitoring data
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Imputation of missing longitudinal data: a comparison of methods
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Insufficient effort responding: Examining an insidious confound in survey data.
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The role of active memory processes in perception and cognition
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Retrieval-augmented generation for generative artificial intelligence in health care
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Data Sensemaking in Self-Tracking: Towards a New Generation of Self-Tracking Tools
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Multimodal autoencoder: A deep learning approach to filling in missing sensor data and enabling better mood prediction
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Imputing Missing Social Media Data Stream in Multisensor Studies of Human Behavior
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Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation
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HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
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DT2VIS: A Focus+Context Answer Generation System to Facilitate Visual Exploration of Tabular Data
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Sensing Technologies for Monitoring Serious Mental Illnesses
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LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
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A Survey on Neural Network Interpretability
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Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content
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Towards Natural Language-Based Visualization Authoring
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The cost structure of sensemaking
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A stage-based model of personal informatics systems
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Understanding my data, myself
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Personal tracking as lived informatics
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Understanding quantified-selfers' practices in collecting and exploring personal data
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Why we use and abandon smart devices
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Fostering Engagement with Personal Informatics Systems
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Proceedings of the International Working Conference on Advanced Visual Interfaces
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Enhancing Personal Informatics Through Social Sensemaking
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Supporting Meaningful Personal Fitness
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Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning
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Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection
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Investigating the Role of Context in Perceived Stress Detection in the Wild
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Understanding Client Support Strategies to Improve Clinical Outcomes in an Online Mental Health Intervention
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Continuous Detection of Physiological Stress with Commodity Hardware
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Evaluating the Reproducibility of Physiological Stress Detection Models
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Mapping and Taking Stock of the Personal Informatics Literature
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Leveraging Collaborative-Filtering for Personalized Behavior Modeling
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Detecting Receptivity for mHealth Interventions in the Natural Environment
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Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
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Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts
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Designing Reflective Derived Metrics for Fitness Trackers
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Narrating Fitness: Leveraging Large Language Models for Reflective Fitness Tracker Data Interpretation
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Momentary Stressor Logging and Reflective Visualizations: Implications for Stress Management with Wearables
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Systematic Evaluation of Personalized Deep Learning Models for Affect Recognition
inferredcites →https://doi.org/10.1145/3699747openalex-snapshot
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensors
inferredcites →https://doi.org/10.1145/3699755openalex-snapshot
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inferredcites →https://doi.org/10.1145/3699765openalex-snapshot
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inferredcites →https://doi.org/10.1145/3706598openalex-snapshot
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inferredcites →https://doi.org/10.1145/3706598.3714086openalex-snapshot
Feasibility and Utility of Multimodal Micro Ecological Momentary Assessment on a Smartwatch
inferredcites →https://doi.org/10.1145/3770647openalex-snapshot
Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Research
inferredcites →https://doi.org/10.1146/annurev.clinpsy.3.022806.091415openalex-snapshot
Ecological Momentary Assessment
inferredcites →https://doi.org/10.1177/1059601195202007openalex-snapshot
Blue versus Gray: A Metaphor Constraining Sensemaking Around a Restructuring
inferredcites →https://doi.org/10.1177/1460458215602939openalex-snapshot
Health information needs, sources, and barriers of primary care patients to achieve patient-centered care: A literature review
inferredcites →https://doi.org/10.1177/1550147719874186openalex-snapshot
Mobile sensing for behavioral research: A component-based approach for rapid deployment of sensing campaigns
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Challenges and recommendations for wearable devices in digital health: Data quality, interoperability, health equity, fairness
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Predicting Depression via Social Media
inferredcites →https://doi.org/10.18653/v1/2024.hcinlp-1.2openalex-snapshot
Properties and Challenges of LLM-Generated Explanations
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Intelligence Essentials for Everyone
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Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder
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Breathing as Input Modality in a Gameful Breathing Training App: Development and Evaluation of Breeze 2 (Preprint)
inferredcites →https://doi.org/10.31234/osf.io/dkbqaopenalex-snapshot
Describing the elephant: a foundational model of human needs, motivation, behaviour, and wellbeing
inferredcites →https://doi.org/10.48550/arxiv.2211.02733openalex-snapshot
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
inferredcites →https://doi.org/10.48550/arxiv.2309.15074openalex-snapshot
Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial
inferredcites →https://doi.org/10.48550/arxiv.2401.06866openalex-snapshot
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
inferredcites →https://doi.org/10.48550/arxiv.2402.14195openalex-snapshot
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2406.06474openalex-snapshot
Towards a Personal Health Large Language Model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1145/3770647openalex-snapshot
Imputation Matters: A Deeper Look into an Overlooked Step in Longitudinal Health and Behavior Sensing Research
inferred← citeshttps://doi.org/10.1145/3772318.3791551openalex-snapshot
CASEbot: A Conversational Agent for Structuring and Personalizing the Design of Self-Experiments in Personal Health
inferred← citeshttps://doi.org/10.1145/3786579.3799787openalex-snapshot
Healthcare Beyond Reaction: Harnessing AI and Sensing for Proactive Care
inferred← citeshttps://doi.org/10.1145/3786579.3804960openalex-snapshot
Exploring Expert Perspectives on Wearable-Triggered LLM Conversational Support for Daily Stress Management
inferred← citeshttps://doi.org/10.1145/3810198openalex-snapshot
When Feeling and Physiology Diverge: Understanding Dual-Indicator Stress Sensemaking and Micro-Interventions in an Emotional-Labor Workplace
inferred← citeshttps://doi.org/10.1145/3810230openalex-snapshot
Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook
inferred← citeshttps://doi.org/10.1145/3831653openalex-snapshot
Feasibility of Using a Multi-Agent LLM System to Correct Annotations and Support Low-Effort Activity Labeling
inferred← citeshttps://doi.org/10.1145/3832021openalex-snapshot
Seamful Design Considerations for Human-in-the-Loop Digital Phenotyping of Mental Health
inferred← citeshttps://doi.org/10.1145/3832031openalex-snapshot
SwipeWell: A Multi-Agent System for Short-Video-Based Mobile Psychological Self-Assessment among Older Adults
inferred← citeshttps://doi.org/10.1145/3832033openalex-snapshot
DAIMON: Designing AI-Augmented Research Dashboards to Enable Novel Human-AI Collaborative Workflows in Longitudinal Sensing Studies
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