描述

With Deep Chat, everyone listens.

Be heard and remembered with this innovation in chattechnology.

Deep Chat is where social media and learning technology meet. Byincorporating the famous research on memory and retentiondiscovered by Hermann Ebbinghaus into a social media experience, wehave the best idea since the 'Like'.

Ebbinghaus' research is now a key part of top learning programslike Supermemo and Ankidroid. These programs have been proven toboost learning and increase retention by using the spacingeffect.

Deep Chat is the first of its kind. By trying this program youwill be contributing to a social experiment which could prove torevolutionize online relationships. If my theory is correct, andknowledge enhances relationship, then Deep Chat will offer a pathto enhanced relationship like never experienced before.

Imagine people recalling things said months earlier, knowingeverything that was said deeply. Imagine how flattered people wouldfeel. And having reports that prove it to be true. It'spossible.

HOW IT WORKS

Chatters simply earn points for paying attention and rememberingwhat other chatters say.

Each friendship you have with another person has a score, so youcan see which people know you best and which people you know best.You can see which people everyone knows well and which people knoweveryone well.

HOW IS THIS POSSIBLE

Chatters set up questions or fill-in-the-blanks which areanswered by other chatters on whatever subject they wish them toknow about. For example, as an introduction a chatter can setup thefirst question as "I am from <Germany>." The text insideangle brackets (<Germany>) is tested. Each item answeredreceives a point. Items are repeated over time with longer gapsbetween the last test. Those items known for long periods receivemultiple points. If an item is known very well (for example wasn'ttested for a month and still known) it will receive many points,one for each hour known.

The points reflect how much a person knows and also how wellthey know it.