From 'What' to 'How' and 'Why': Sharing LLM-Generated Retrospective Summaries of Older Adults' Passive Tracking Data with Remote Family Members

arXiv:2606.03876 · cs.HC, cs.AI, cs.MA · Submitted 2026-06-02 · Read on arXiv

cs.HC, cs.AI, cs.MA

Submitted: 2026-06-02

Updated: 2026-09-25

Terminology

• Aggregation — 10× in this paper · explained in 1 episode
• Vital Insight — 7× in this paper
• Accuracy — 5× in this paper · explained in 1 episode
• Interpretability — 3× in this paper · explained in 15 episodes
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Agent Architectures — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• Institutional Review Board — 1× in this paper
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes

Sources

• Bias Beneath the Tone: Empirical Characterisation of Tone Bias in LLM-Driven UX Systems
• Towards a Personal Health Large Language Model
• PhysioLLM: Supporting Personalized Health Insights with Wearables and Large Language Models
• Effect of Selection Format on LLM Performance
• HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
• Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
• Categorizing Sources of Information for Explanations in Conversational AI Systems for Older Adults Aging in Place
• LLMSense: Harnessing LLMs for High-level Reasoning Over Spatiotemporal Sensor Traces
• DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge
• ConSensus: Multi-Agent Collaboration for Multimodal Sensing

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