This is a very relevant topic and in my mind should be a high priority. As there has been heavy debate on companies collecting personal health information, this would at least provide a method for workers to understand their specific physiologic measures and take action. There would need to be a process developed for deleting the locally collected data when the user has completed assigned tasks. If there was a way to partition and password protect a user's historical data on the system, previous measurements could be used predictively to enhance the automated mode specific to the individual rather than a one-size fits all approach. Specific outcomes to consider: cognitive over/under load (decreased SA and task engagement); fatigue (physical and psychological); body temp stress related issues (types of industries affected - firefighters, military, first-responders, agriculture, construction workers)
This is a very relevant topic and in my mind should be a high priority. As there has been heavy debate on companies collecting personal health information, this would at least provide a method for workers to understand their specific physiologic measures and take action. There would need to be a process developed for deleting the locally collected data when the user has completed assigned tasks. If there was a way to partition and password protect a user's historical data on the system, previous measurements could be used predictively to enhance the automated mode specific to the individual rather than a one-size fits all approach. Specific outcomes to consider: cognitive over/under load (decreased SA and task engagement); fatigue (physical and psychological); body temp stress related issues (types of industries affected - firefighters, military, first-responders, agriculture, construction workers)