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.
Original language | English |
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Title of host publication | CHI EA 2019 - Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9781450359719 |
DOIs | |
Publication status | Published - 2 May 2019 |
Externally published | Yes |
Event | 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 - Glasgow, United Kingdom Duration: 4 May 2019 → 9 May 2019 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2019 CHI Conference on Human Factors in Computing Systems, CHI EA 2019 |
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Country/Territory | United Kingdom |
City | Glasgow |
Period | 4/05/19 → 9/05/19 |
Bibliographical note
Publisher Copyright:© 2019 Copyright held by the owner/author(s). ACM
Keywords
- Phone agent
- Privacy
- Sensors
- Smartwatches
- Social media
- Stress