GR1 - Viral content generator

Group Members

1. Oliver Song
2. Marco Alagna

Problem statement

Generating viral content for the internet is currently an inefficient process involving either photoshop or web services (www.memegenerator.net). Furthermore, they only 

User Analysis

Our users come from a variety of backgrounds. Our most representative user demographic will have:

• spent at least 2 years understanding internet culture
• high school or college level education
• own a smartphone (iPhone primarily)
• either gender
• a sense of humor

Alternatively our target user population can be split into two groups: those who understand internet culture and those who do not.

Those who understand internet culture:

• will have an understanding of which expressions can go with which captions
• will have a quick and accurate judgement of what will and will not be funny to the general internet population
• will be best suited for a traditional meme maker as in "take picture, add caption"

Use case:

Person A is a person of this

Those who do not:

• will not understand what the general internet population would find funny
• will be best suited for nontraditional viral content generation, such as "video filtering" or "song making", which make use of simpler emotions that do not employ much of the "meta-humor" in many internet memes 

Use case:

Person B is a person of this

Task Analysis

Source of humor (photo, video, or sound, or any data)

 - methods of capturing data

Processing data

 - cropping

 - clipping

 - etc

Labeling/categorizing humor

 - captioning

 - creating gif

 - etc other labeling

Publishing

 - Social networks

 - Account management

 - Syncronization

 - Tagging

Viewing ( optional )

 - view your uploads in one feed online

1. Why is the task being done?
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2. What does the user need to know or have before doing the task?
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3. Where is the task performed?
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4. What is the environment like? Noisy, dirty, dangerous?
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5. How often is the task performed?
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6. What are its time or resource contraints?
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7. How is the task learned?
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8. What can go wrong (exceptions, errors, emergencies)?
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9. Who else is involved in the task?
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