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System and method for interpreting and communicating emotions during electronic communication

IP.com Disclosure Number: IPCOM000234726D
Publication Date: 2014-Jan-31
Document File: 2 page(s) / 15K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed are a method and system to detect emotion while communication is occurring via smart-devices, and then send that translated emotional information as part of the following/responding communication. This assists users who are communicating with text messages or email to better understand the emotions of the other party.

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System and method for interpreting and communicating emotions during electronic communication

As electronic communication continues to become more prevalent and essential in user interactions, a reliable means is needed through which one user is able to understand the true emotion of another. Currently, users can communicate emotions using emoticons or other acronyms (e.g., "lol" for "laughing out loud"), but these do not necessarily convey true emotion or subtle emotion and must be explicitly entered.

The solution uses enabling art technologies such as a smart device camera and facial recognition techniques. The novel contribution is a method and system to detect emotion while communication is occurring and send that translated emotional information as part of the communication. This emotional information can be transmitted as an additional icon, an emotion text, or graphic, and displayed in a manner compatible with the device or application. The system performs an aggregation of emotions for lengthy communications and chooses the emotional response based on the most frequent or longest percentage of emotional capture while using the communicating application for that particular instance of the communication.

The system can detect a smile, a laugh, a frown, or a neutral facial expression and communicate that back to the individual who sent the message. This is presented in the form of an "emotion status". For example, if a user is sending a text to a friend and is smiling, then the system sends a status back with emotional response = "smiling or happy" ; conversely, if a user sends something where the facial expression maps to upset or angry, the system detects an emotional response of sad or angry. If the conversation is within the normal realm of everyday communication, then the emotional status may stay at "natural".

For longer text messages or emails, an "emotional aggregation" can occur, in which the system sends an emotional response based on a percentage of time that the receiver

was engaged in a particular emotion (e.g., if smiling most of the time, then the user is generally happy).

To implement the method an...