Sensor based group data

I’m interested in how we can use recent technological development for psychological measurements in field settings.

For instance in one project, we are researching social interactions in teams using track-and-trace sensors that have a very high sampling rate fits a temporal approach perfectly (Kozlowski, 2015; Roe et al., 2012). In a first study (Endedijk et al., 2015), we successfully used the combination of wifi-sensors and sociometric badges to measure social interactions between employees and clients in a healthcare setting. In another study we managed to track the interaction data from teams working in escape rooms.

A second project is aimed at developing theory and methods to use GPS data for social psychological research. Most notable, we’re currently developing an R-library that facilitates in transforming raw GPS data to potentially meaningful behavioral variables such as average speed, deviation, distance to others, and time spent in certain locations. See this website for more information.

Collaborators

  • Maaike Endedijk
  • Stijn de Laat
  • Peter de Vries
  • Benjamin Ziepert
  • Key output

  • Press release about our gps project (in Dutch): link
  • Our website on gps analyses: link
  • Radio interview by Stijn de Laat on our research in Escape rooms (in Dutch): link