'Polygram' Registers and Records Users' Facial Reactions
Joey Haar — August 29, 2017 — Social Media
References: polygr.am & digitaltrends
Social media platforms have used diverse arrays of reactions beyond the simple "like" function for some time now, but Polygram is a new platform that uses artificial intelligence to provide as broad a range of reactions as possible. Rather than offering up a finite set of emojis and symbols, Polygram's AI reads users' facial reactions and records those responses.
In terms of content, Polygram is relatively similar to image-sharing platforms like Instagram and Snapchat. Its reactions are what separate it from competitors, since they in theory give users a more honest gauge for how people respond to their content. The site also gives users granular data on audience behavior as part and parcel, including things like the time spent on each post, gender and location breakdowns, and more.
In terms of content, Polygram is relatively similar to image-sharing platforms like Instagram and Snapchat. Its reactions are what separate it from competitors, since they in theory give users a more honest gauge for how people respond to their content. The site also gives users granular data on audience behavior as part and parcel, including things like the time spent on each post, gender and location breakdowns, and more.
Trend Themes
1. Facial-recognition Social Sites - Using facial recognition technology to measure users' reactions on social media platforms.
2. Artificial Intelligence Emojis - Replacing traditional emojis and symbols with AI-generated emojis based on users' facial reactions.
3. Data-driven Audience Insights - Using facial recognition technology to gather granular user data like time spent, gender and location breakdowns and more.
Industry Implications
1. Social Media - Social media companies could improve user engagement by implementing facial recognition technology to generate a more accurate measure of user emotional responses.
2. Artificial Intelligence - AI companies could create new products and services related to generating emojis based on facial expressions.
3. Market Research - Marketing research companies could use facial recognition technology to gather more granular data on audience behavior and preferences.
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