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UOComfortApp

The UOComfortApp allows users to provide real-time feedback on their perceived comfort levels within an work space, as it relates to temperature, air flow, and vibration

The UOComfortApp allows users to provide real-time feedback on their perceived comfort levels within an work space, as it relates to temperature, air flow, and vibration

UOComfortApp

by University of Oregon Digital Press
UOComfortApp
UOComfortApp
UOComfortApp

What is it about?

The UOComfortApp allows users to provide real-time feedback on their perceived comfort levels within an work space, as it relates to temperature, air flow, and vibration. Once logged-in, users will identify their location within the office space, use the built-in slider bar functions to identify their level of comfort on these three (3) parameters, and then provide contextual information for their responses (e.g., level of attire, recently consumed hot/cold food or beverages, etc.). This data will be submitted to a secure online database, and will ultimately allow for a comparison of perceived comfort levels within a work space with physical data collected by sensors monitoring the environment.

UOComfortApp

App Details

Version
ComfortApp2.1.2
Rating
NA
Size
20Mb
Genre
Education
Last updated
January 10, 2018
Release date
October 12, 2017
More info

App Screenshots

UOComfortApp screenshot-0
UOComfortApp screenshot-1
UOComfortApp screenshot-2
UOComfortApp screenshot-3

App Store Description

The UOComfortApp allows users to provide real-time feedback on their perceived comfort levels within an work space, as it relates to temperature, air flow, and vibration. Once logged-in, users will identify their location within the office space, use the built-in slider bar functions to identify their level of comfort on these three (3) parameters, and then provide contextual information for their responses (e.g., level of attire, recently consumed hot/cold food or beverages, etc.). This data will be submitted to a secure online database, and will ultimately allow for a comparison of perceived comfort levels within a work space with physical data collected by sensors monitoring the environment.

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