arXiv (All)
open access
TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback
Workplace sensing studies combine long-running behaviour traces with self-reports, yet the tools that collect those data often sit apart from the interface that returns results. We present TrustmeWatcher, the application built for the TRUST-ME project to connect this work. TrustmeWatcher reuses Acti
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback#1194451
- External validation of a machine learning-based web application for personalized testing of objective functioning using the five-repetition sit-to-stand test.#472420
- Training Witnesses: Trusting the Training without Trusting the Trainer#1118988
- Rosacea and Ivermectin#1282373
- A-Live: Passive Liveness Detection via Neuromuscular Micro-Motion Signatures on Commodity Sensors#259380
Record · ID 1215750
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive