ANALYSIS OF INTERNET OF THINGS-RELATED EMPLOYMENT TESTS THROUGH THE UNIFORM GUIDELINES

Gundars Kaupins
Boise State University

ABSTRACT

The Internet of Things (IoT) involves objects that communicate with other objects via
sensors through the Internet. Objects can be human, clothing, light fixtures, machinery, walls etc.
IoT can be used to provide data for employment tests regarding recruiting, hiring, performance
appraisal, training, and other human resource-related factors. The Uniform Guidelines of
Selection Procedures (Uniform Guidelines) provides a basis for analyzing IoT-related
employment tests through its validity, reliability, and adverse impact recommendations. Some
validity issues involve an IoT bias for objective testing, unintended results from collecting massive
data sets, and insufficient analysis by sensor vendors. An employee’s time at a desk might be
irrelevant compared to time communicating with clients. Some reliability issues with IoT sensors
include faulty equipment, changing sensor conditions, employee-related problems, and faulty
analysis of data. Adverse impact focuses on the unequal use of sensors with employees from
different protected groups. This study describes IoT related problems that include validity,
reliability, and adverse impact on employment testing as discussed in the uniform guidelines. To
remedy these problems, this study provides some IoT-related monitoring recommendations.

Keywords: Uniform guidelines, internet of things, validity, reliability, adverse impact, policies, sensors