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Generating viral content for the internet is currently an inefficient process involving either photoshop or web services (www.memegenerator.net). Furthermore, they only are restricted to "caption image" type memes. This is not representative of the pool of meme types actually on the internet. Finally, this method of meme generation is not mobile; this is particularly egregious because the large majority of meme source content comes from mobile devices.
We find this to be onix-eptable.
User Analysis
Our users come from a variety of backgrounds. Our most representative user demographic will have:
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- 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 We interviewed a person in this space of user population; we'll call this person Subject A.
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 We interviewed a person in this space of user population; we'll call this person Subject B.
Task Analysis
Source of humor (photo, video, or sound, or any data)
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