A multi-sensor approach to linking behavior to job performance

Abstract

Traditionally job performance reviews occur infrequently, only a few times a year at best, and can be largely subjective. Additionally, most quantitative assessment of job performance (e.g., hours at work, number of articles published, etc.) do not give a complete picture, either because they do not account for individual differences or job variability, or they rely only on single measures, subjective reporting, sparse performance measurements or a combination of these factors. Here we report on our initial comparison of objective signals obtained from unobtrusive physiologic and environmental sensors to self-reports of workplace performance and wellbeing. Our results provide evidence that objective metrics of physiological and environmental factors for individuals might be useful in supplementing subjective reports of workplace performance and wellbeing. We posit that a large longitudinal study would provide enough information to automate timely analysis that would allow for tailored performance interventions, workforce retention, and mitigation of negative workplace behaviors.