Using IoT devices for sensor-based monitoring of employees' mental workload: Investigating managers' expectations and concerns

Although the objective assessment of mental workload has been a focus of human factors research, few studies have investigated stakeholders' attitudes towards its implementation in real workplaces. The present study addresses this research gap by surveying N = 702 managers in three European countries (Germany, United Kingdom, Spain) about their expectations and concerns regarding sensor-based monitoring of employee mental workload. The data confirm the relevance of expectations regarding improvements of workplace design and employee well-being, as well as concerns about restrictions of employees' privacy and sovereignty, for the implementation of workload monitoring. Furthermore, Bayesian regression models show that the examined expectations have a substantial positive association with managers' willingness to support workload monitoring in their company. Privacy concerns are identified as a significant barrier to the acceptance of workload monitoring, both in terms of their prevalence among managers and their strong negative relationship with monitoring support.

Automated summary

This study surveyed 702 managers from three European countries to investigate their expectations and concerns regarding sensor-based monitoring of employee mental workload. The data showed that expectations for workplace design improvements and employee well-being were strongly associated with managers' willingness to support workload monitoring. However, privacy concerns were identified as a significant barrier to the acceptance of workload monitoring.