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Assignment B Propositions

Prototype Thesis Propositions:

1) Hypothesis: Using a customized app that limits one's access to their digital media will lessen a high schooler's reliance on media (Media dependency Theory). 

-By studying the media dependency theory framework, can using a customized app that prevents one’s access to their digital device lessen a high schooler’s reliance on media or worsen it?
+We can study the framework of media dependency theory and see if media's influence on the individual creates a sort of withdrawal, or lessens the effects. 
Prototype: a phone app where you set a timer
Problem- this sort of prototype works, whether it's an app or a safe with a timer on it, however studies on media dependency is still limited. 

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2) Can implementing classroom learning with AR platforms help increase memorizing information for middle school students?

(Implementing AR platforms/tools into a classroom setting)
-Can learning (memory retention) be improved when brought to an AR platform?
-Is using AR an effective form of communication and could it be used to improve learning in academic areas such as schools and museums? 
Prototype: having an application that allows phones or VR headsets to have access to a local client's digital assets in the vicinity. 
Problem: It sounds very difficult to prototype and test





















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3-By studying the most watched cable news networks, we can measure the amount of impact fear appeal has on viewers' mental health. 


3-Is the use of fear appeal in television negatively impacting our new generation’s mental health. 
-Find what percent of younger audiences actually watch cable.
-study Friday night recordings of the top 5 news channels and have a checklist
-By studying the most watched cable news networks today, how often can the use of fear appeal be found negatively impacting its viewers’ health? 

Top 5 news networks today:
CBS
NBC
ABC
FOX
ESPN

Prototype: accessing pre-taped footage from the top 5 News channels screening on a Friday night when viewership is at it's highest. From there we graph the viewer's emotions every segment and see when their anxiety/distress rises or lowers in accordance to the channel and what's being shown.

Problem: The accuracy of this prototype wouldn't be very accurate due to human error and bias to different channel preferences.
-we also need to accommodate for the lack of millennials who watch cable TV, as Streaming is becoming more popular. 
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