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Found 6 papers, 1 papers with code
Efficient and Personalized Mobile Health Event Prediction via Small Language Models
Healthcare monitoring is crucial for early detection, timely intervention, and the ongoing management of health conditions, ultimately improving individuals' quality of life.
Predicting Affective States from Screen Text Sentiment
We employed linear regression, zero-shot, and multi-shot prompting using a large language model (LLM) to analyse relationships between screen text and affective states.
Enabling On-Device LLMs Personalization with Smartphone Sensing
To the best of our knowledge, this is the first framework to provide on-device LLMs personalization with smartphone sensing.
DDoD: Dual Denial of Decision Attacks on Human-AI Teams
Artificial Intelligence (AI) systems have been increasingly used to make decision-making processes faster, more accurate, and more efficient.
CrowdCog: A Cognitive Skill based System for Heterogeneous Task Assignment and Recommendation in Crowdsourcing
While crowd workers typically complete a variety of tasks in crowdsourcing platforms, there is no widely accepted method to successfully match workers to different types of tasks.
Smartphone App Usage Prediction Using Points of Interest
In this paper we present the first population-level, city-scale analysis of application usage on smartphones.
