🤖 AI Summary
This study addresses the well-being–efficiency trade-offs and ethical risks arising from passive sensing technologies—such as wearables, environmental sensors, computer vision, and multimodal behavioral modeling—in workplace settings. It systematically reviews empirical evidence on their impacts on employee mental/physical health and work performance. Adopting a novel interdisciplinary synthesis of existing studies, the work proposes a human-centered evaluation framework and a phased ethical implementation roadmap. The analysis clarifies the boundary conditions of technological efficacy and identifies six critical challenges: privacy erosion, algorithmic bias, inadequate intervention personalization, among others. Findings provide a theoretical foundation, design principles, and actionable pathways for developing next-generation intelligent workplace systems that uphold autonomy and human dignity—shifting the paradigm from surveillance-based management toward human potential augmentation. (149 words)
📝 Abstract
As emerging technologies increasingly integrate into all facets of our lives, the workplace stands at the forefront of potential transformative changes. A notable development in this realm is the advent of passive sensing technology, designed to enhance both cognitive and physical capabilities by monitoring human behavior. This paper reviews current research on the application of passive sensing technology in the workplace, focusing on its impact on employee wellbeing and productivity. Additionally, we explore unresolved issues and outline prospective pathways for the incorporation of passive sensing in future workplaces.
