2019 · 95 citations · 6 references
ComputingOrganizational BehaviorPsychologyMobile ComputingPrivacy EngineeringSensor FusionData ProtectionMobile SensingParticipant PrivacyPrivacy PolicySocial ComputingWearable Health TechnologiesBehavioral SensingEnrollmentHeart RatePrivacySensor Data PrivacySensor PrivacySensor-based Data CollectionSocial Context
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.
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The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research
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