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Article
How honest are the signals? A protocol for validating wearable sensors.
USF St. Petersburg campus Faculty Publications
  • Varol O. Kayhan
  • Zheng Chen
  • Kimberly A. French
  • Tammy D. Allen
  • Kristen Salomon
  • Alison L. Watkins, University of South Florida St. Petersburg
SelectedWorks Author Profiles:

Zheng Chen

Alison L. Watkins

Document Type
Article
Publication Date
2018
Disciplines
Abstract

There is growing interest among organizational researchers in tapping into alternative sources of data beyond self-reports to provide a new avenue for measuring behavioral constructs. Use of alternative data sources such as wearable sensors is necessary for developing theory and enhancing organizational practice. Although wearable sensors are now commercially available, the veracity of the data they capture is largely unknown and mostly based on manufacturers’ claims. The goal of this research is to test the validity and reliability of data captured by one such wearable badge (by Humanyze) in the context of structured meetings where all individuals wear a badge for the duration of the encounter. We developed a series of studies, each targeting a specific sensor of this badge that is relevant for structured meetings, and we make specific recommendations for badge data usage based on our validation results. We have incorporated the insights from our studies on a website that researchers can use to conduct validation tests for their badges, upload their data, and assess the validity of the data. We discuss this website in the corresponding studies.

Comments

Citation only. Full-text article is available through licensed access provided by the publisher. Members of the USF System may access the full-text of the article through the authenticated link provided.

Publisher
Springer
Creative Commons License
Creative Commons Attribution-Noncommercial-No Derivative Works 4.0
Citation Information
Kayhan, V.O., Zheng, C., French, K.A., Allen, T.D., Salomon, K. & Watkins, A.(2018). How honest are the signals? A protocol for validating wearable sensors. Behavior Research Methods. doi: 10.3758/s13428-017-1005-4