Unobtrusive Continuous Stress Detection in Knowledge Work—Statistical Analysis on User Acceptance

Modern knowledge work is highly intense and demanding, exposing workers to long-term psychosocial stress. In order address the problem, stress detection technologies have been developed, enabling continuous assessment of personal based on multimodal sensor data. However, stakeholders lack insights into how employees perceive different monitoring whether they are willing share stress-indicative data in sustain well-being at individual, team, organizational levels context. To fill this research gap, we developed a theoretical model for workers’ interest sharing their collected with unobtrusive sensors examined it empirically using structural equation modeling (SEM) survey 181 European workers. The results did not show statistically significant privacy concerns regarding environmental such as air quality, sound level, motion sensors. On other hand, about more privacy-sensitive methods tracking device usage patterns prevent user acceptance nor intent Overall, were interested employing measure receive information well-being. validate willingness accept unobtrusive, context work.