Startup Idea: Startup Idea: Psycho-Aero-Metric Data Collection and Analysis for Airline Passenger Risk Assessment

Startup idea to create a software that collects and analyses 'Psycho-Aero-Metric' data from airline passengers. This data is based on passengers' viewing habits, facial expressions, and body language while on board. This information could be used to evaluate risk levels for passenger aggression and hostility and alert airline staff about potential risks.

Hello,

I work in the field of criminal justice and I conduct research on national security and risk assessment of individuals. Often times the only screening that the Transportation and Security Administration (TSA) conduct is a cursory physical examination of the contents of suitcases and other carry on luggage and the body of the individual passengers. However, I believe with the growth of big data and streaming services being provided on airlines a synthesis of opportunities are available for the TSA to collect "psycho-aero-metric data" on passengers in real-time. The TSA can use the passengers' data for television show and movie preferences as a possible set of data points for assessing passenger risk for aggression, violence, and other activity.

Additionally, if a camera is installed into the tablet that is mounted on the passenger seat headrest, the camera could record facial expressions and body language of passengers to detect risk of aggression, hostility, and anger. This data can then be used to alert airline staff on board the plane about the risk level of the passenger.

Collecting and analyzing Psycho Aero-Metric data on airline passengers has wide ranging public safety implications for preventing anger and aggression and limiting the risk faced by airlines. Essentially the major airlines can centralize and share data on passenger behavior to determine who is safe and who is not based on the data collected from video preferences, possible survey administration while seated, and optical video behavioral recognition.

However, considerable empirical research would be necessary to examine whether the software would be able to reliably and validly predict airline passenger behavior. Possible research questions below:

Research Question: Can TSA screen for passenger risk levels for aggression and hostility using data collected on airline passenger viewer habits of free streaming movie and television services?

Should passengers who are observed viewing aggressive or extremely violent television shows while on board an airplane be flagged as at-risk for on-board aggression and hostility toward passengers, air services, and a general threat to on-board safety?

Can real time data reports be generated for airline staff to flag at-risk passengers?

Would psycho aero-metric data be a reliable and valid predictor of hostility?

Is there a correlation between viewership habits and hostility/aggression levels using on-board streaming cinema preferences as an indicator for intentionality?. No.