Rapid Automatic & Adaptive Model for Performance Prediction (RAAMP2) Dataset

The Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) project is an initiative funded by the Intelligence Advanced Research Projects Activity (IARPA) to improve the evaluative process in the workplace. To do so, researchers from Lockheed Martin's Advanced Technology Laboratories (LM ATL) and the University of Arizona (UA) conducted the Rapid Automatic & Adaptive Models for Performance Prediction (RAAMP2) study. Across two data collection studies, over 400 employees from a large company were equipped with a suite of both on-body and environmental sensors and completed daily surveys assessing well-being and job performance. Each study enrolled participants for eight weeks, with 50 individuals participating in both studies.