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Optimizing comfort for nurses in high-stress situations with sensors

Publication/Creation Date
February 20 2020
Creators/Contributors
Carol Menassa (creator)
Vineet Kamat (creator)
Eunshin Byon (creator)
University Of Michigan (contributor)
Media Type
Corporate Video
Persuasive Intent
Academic
Description
When nurses in high-stress situations get uncomfortably warm, they may remove face masks and other protective equipment. To tackle this problem, researchers try dynamically adjusting a room’s temperature based on sensors worn by the nurses. This research was led by Carol Menssa, and associate professor of civil and environmental engineering at the University of Michigan, in collaboration with Vineet Kamat, professor of civil and environmental engineering.
HCI Platform
Ambient
Discursive Type
Inventions
Location on Body
Not On The Body
Augments
Cooling, Caring, Comforting, Working, Protecting
Technology Keywords
Ambient Interaction, Thermal Cameras, Sensors, Algorithms
Keywords
Medical, Health, Hospitals, Nurses, Temperature, Stress, COVID-19, Pandemic, Work
Marketing Keywords
Human Embodied Autonomous Thermostat (HEAT)
Source
https://www.youtube.com/watch?v=TXbDbq47xSM
Related Objects
Turning faces into thermostats: Autonomous HVAC system could provide more comfort with less energy
Related Items
Carol Menassa
Vineet Kamat
Eunshin Byon
University Of Michigan
Related Collections
COVID-19 Tech (2020)
Date archived
June 20 2020
Last edited
December 12 2020
How to cite this entry
Carol Menassa, Vineet Kamat, Eunshin Byon. (February 20 2020). "Optimizing comfort for nurses in high-stress situations with sensors". Fabric of Digital Life. https://fabricofdigitallife.com/Detail/objects/4617