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Wearable bluetooth sensors for capturing relational variables and temporal variability in relationships: A construct

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Wearable Bluetooth sensors offer objective data for organizational research. These sensors demonstrate validity in field settings, capturing relational dynamics and predicting performance, advancing beyond traditional methods.

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Area of Science:

  • Organizational behavior and network analysis.
  • Human-computer interaction and sensor technology.
  • Psychometric validation of novel data collection methods.

Background:

  • Wearable sensor technologies, particularly Bluetooth sensors, offer continuous, objective data collection for organizational research.
  • Previous studies demonstrated sensor utility in controlled settings for identifying networks via colocation.
  • A formal psychometric validation of these sensors in field settings was lacking.

Purpose of the Study:

  • To formally evaluate longitudinal Bluetooth data streams from wearable sensors in field settings.
  • To test the convergent, discriminant, and predictive validity of sensor data.
  • To assess the ability of sensors to decompose network variability and complement self-reports.

Main Methods:

  • Two studies were conducted to formally evaluate longitudinal Bluetooth data streams in field settings.
  • Psychometric properties including convergent, discriminant, and predictive validity were assessed.
  • Sensor data was compared against traditional self-reports and performance metrics.

Main Results:

  • Bluetooth sensor data demonstrated convergent validity with self-reported relational data.
  • Sensor data showed discriminant validity for different relationship types (advice vs. friendship).
  • Sensor data predicted performance and decomposed network variance over time.

Conclusions:

  • Longitudinal Bluetooth sensor data is a valid measure for variables in organizational science.
  • Wearable sensors advance organizational research by providing continuous data beyond static perspectives.
  • This validates the use of wearable sensors for objective, granular data collection in field research.