Cover Image

MotionTeller: Multi-modal Integration of Wearable Time-Series with LLMs for Health and Behavioral Understanding

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Aiwei, Pillai, Arvind, Campbell, Andrew, Jacobson, Nicholas C.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting
by: Pillai, Arvind, et al.
Published: (2025)

A Foundation Model for Wearable Movement Data in Mental Health Research
by: Ruan, Franklin Y., et al.
Published: (2024)

AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
by: Chen, Yongchao, et al.
Published: (2023)

Multi-Intent Recognition in Dialogue Understanding: A Comparison Between Smaller Open-Source LLMs
by: Ahmad, Adnan, et al.
Published: (2025)

A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
by: Harry, Tamunotonye, et al.
Published: (2026)

CALYPSO: LLMs as Dungeon Masters' Assistants
by: Zhu, Andrew, et al.
Published: (2023)

Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health
by: Wang, Xingbo, et al.
Published: (2025)

LLMs Get Lost In Multi-Turn Conversation
by: Laban, Philippe, et al.
Published: (2025)

Explainable XR: Understanding User Behaviors of XR Environments using LLM-assisted Analytics Framework
by: Kim, Yoonsang, et al.
Published: (2025)

CURE: Cultural Understanding and Reasoning Evaluation - A Framework for "Thick" Culture Alignment Evaluation in LLMs
by: Vo, Truong, et al.
Published: (2025)

TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
by: Xu, Huimin, et al.
Published: (2025)

OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
by: Wang, Ziyi, et al.
Published: (2025)

Toward Cultural Interpretability: A Linguistic Anthropological Framework for Describing and Evaluating Large Language Models (LLMs)
by: Jones, Graham M., et al.
Published: (2024)

Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders
by: Sun, Xin, et al.
Published: (2026)

Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
by: Xu, Yinggan, et al.
Published: (2025)

Offscript: Automated Auditing of Instruction Adherence in LLMs
by: Clark, Nicholas, et al.
Published: (2025)

LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
by: Wu, Tongshuang, et al.
Published: (2023)

Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches
by: Shani, Chen, et al.
Published: (2025)

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App
by: Nepal, Subigya, et al.
Published: (2024)

Design of Seamless Multi-modal Interaction Framework for Intelligent Virtual Agents in Wearable Mixed Reality Environment
by: Ali, Ghazanfar, et al.
Published: (2025)

Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
by: Shen, Hua, et al.
Published: (2025)

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
by: Badawi, Abeer, et al.
Published: (2025)

A Computational Framework for Behavioral Assessment of LLM Therapists
by: Chiu, Yu Ying, et al.
Published: (2024)

Robots in the Middle: Evaluating LLMs in Dispute Resolution
by: Tan, Jinzhe, et al.
Published: (2024)

Pragmatics beyond humans: meaning, communication, and LLMs
by: Gvoždiak, Vít
Published: (2025)

Beyond Screenshots: Evaluating VLMs' Understanding of UI Animations
by: Liang, Chen, et al.
Published: (2026)

LLMs Corrupt Your Documents When You Delegate
by: Laban, Philippe, et al.
Published: (2026)

LLMs in Qualitative Research: Opportunities, Limitations, and Practical Considerations
by: Salgado, Henry, et al.
Published: (2026)

Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers
by: Zhang, Tuo, et al.
Published: (2024)

Personas with Attitudes: Controlling LLMs for Diverse Data Annotation
by: Fröhling, Leon, et al.
Published: (2024)

Mitigating Harmful Erraticism in LLMs Through Dialectical Behavior Therapy Based De-Escalation Strategies
by: Rangarajan, Pooja, et al.
Published: (2025)

Effects of Theory of Mind and Prosocial Beliefs on Steering Human-Aligned Behaviors of LLMs in Ultimatum Games
by: Yadav, Neemesh, et al.
Published: (2025)

Generating Educational Materials with Different Levels of Readability using LLMs
by: Huang, Chieh-Yang, et al.
Published: (2024)

The Emotional Spectrum of LLMs: Leveraging Empathy and Emotion-Based Markers for Mental Health Support
by: De Grandi, Alessandro, et al.
Published: (2024)

Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild
by: Mysore, Sheshera, et al.
Published: (2025)

Chart-to-Experience: Benchmarking Multimodal LLMs for Predicting Experiential Impact of Charts
by: Kim, Seon Gyeom, et al.
Published: (2025)

Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People
by: Huang, Dun-Ming, et al.
Published: (2024)

Unpacking Human Preference for LLMs: Demographically Aware Evaluation with the HUMAINE Framework
by: Petrova, Nora, et al.
Published: (2026)

Modeling Distinct Human Interaction in Web Agents
by: Huq, Faria, et al.
Published: (2026)

Simulating The U.S. Senate: An LLM-Driven Agent Approach to Modeling Legislative Behavior and Bipartisanship
by: Baker, Zachary R., et al.
Published: (2024)