Co-adaptation of Intelligent Office Desks and Human Users to Promote Worker Productivity, Health and Wellness
Aug 2018 – Dec 2022
In the U.S., there are 81 million office workers who spend 75% or more of their day working at a desk. Unfortunately, increased daily sitting time is linked to significant health conditions, including cardiovascular diseases and diabetes. Multiple other health-related issues arise in these workers due to poor ergonomic habits. Health conditions are further exacerbated by building-level control of environmental conditions. Our team envisions the emergence of a genuine partnership and coevolution of workers and their workstations. Specifically, we will design an intelligent workstation that learns worker preferences and patterns. Together, the Machine and Human will coevolve through an ongoing, bidirectional process of sensing, feedback and learning to adjust postural, thermal and visual conditions at the workstation and moderate poor behaviors. Several important research challenges will be addressed by the proposed work: (1) machine learning of user preferences, habits and patterns, (2) identification of shared objectives and supportive actions and (3) establishing machine-human symbiosis to take actions that progress toward best practices (e.g., healthiest).
|Federal||National Science Foundation; Division of Civil, Mechanical, and Manufacturing Innovation||CMMI-1763134||$687,100|