The Tesserae Project: Large-Scale, Longitudinal, In Situ, Multimodal Sensing of Information Workers
Abstract
The Tesserae project investigates how a suite of sensors can measure workplace performance (e.g., organizational citizenship behavior), psychological traits (e.g., personality, affect), and physical characteristics (e.g., sleep, activity) over one year. We enrolled 757 information workers across the U.S. and measure heart rate, physical activity, sleep, social context, and other aspects through smartwatches, a phone agent, beacons, and social media. We report challenges that we faced with enrollment, privacy, and incentive structures while setting up such a long-term multimodal large-scale sensor study. We discuss the tradeoffs of remote versus in-person enrollment, and showed that directly paid, in-person enrolled participants are more compliant overall compared to remotely-enrolled participants. We find that providing detailed information regarding privacy concerns up-front is highly beneficial. We believe that our experiences can benefit other large sensor projects as this field grows.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 04, 2019
- Accession Number
- AD1166872
Entities
People
- Aaron Striegel
- Andrew T. Campbell
- Anind Dey
- Anusha Sirigiri
- Ayse Elvan Bayraktaroglu
- Edward Moskal
- Ge Gao
- Gloria Mark
- Gonzalo J. Martinez
- Julie M. Gregg
- Kaifeng Jiang
- Kari Nies
- Kizito Masaba
- Koustuv Saha
- Krithika Jagannath
- Manikanta D. Reddy
- Munmun De Choudhury
- Nitesh Chawla
- Pablo Robles-Granda
- Pino G. Audia
- Qiang Liu
- Raghu Mulukutla
- Shayan Mirjafari
- Sidney D’Mello
- Stephen M. Mattingly
- Suwen Lin
- Vedant Das Swain
Organizations
- Carnegie Mellon University
- Dartmouth College
- Georgia Tech
- Ohio State University
- University of California, Irvine
- University of Colorado Boulder
- University of Notre Dame
- University of Texas at Austin
- University of Washington