Apollo
metadata only
CC BY-NC-ND 4.0
Smartphone sensing methods for studying behavior in everyday life
Human behavior is the focus of many studies in the social, health, and behavioral sciences. Yet, few studies use behavioral observation methods to collect objective measures of behavior as it occurs in daily life, out in the real world — presumably the context of ultimate interest. Here, we provide
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
- A First Look at Privacy Analysis of COVID-19 Contact-Tracing Mobile Applications#1135288
- Mobile Sensing and Support for Depression#1364050
- Balancing Self-Tracking and Surveillance: Legal, Ethical and Technological Issues in Using Smartphones to Monitor Communication in People with Health Conditions.#285507
- Mobile Self-Tracking of Mental Health#849608
- Smartphone-Based Passive Sensing of Activity Levels and Behavioral Activation During Psychosocial Interventions for Older Adults With Depression: Longitudinal Observational Study.#1158635
Record · ID 1406862
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