Online communication is often misinterpreted, especially when the sole means of connecting with another individual is through text. EmotiChat is an installation that aims to discover if text based communication can be manipulated to better convey each participants emotion within a conversation.
Concept
EmotiChat uses computer vision, facial recognition and biological data technologies in order to enrich the chat room experience. Emotichat is not a tool, but rather an experiment to provoke thought within the user in the hopes that they reconsider the quality of their ability to communicate in digital environments.
1. Your facial expressions will be captured by your webcam then it effects to your type faces on your chat room.
2. The headphones
3. Pulse sensor will capture your heart rates from the tip of your ear then send data to make the shakiness to your conversation.
4. Adruino + pulse sensor to capture your heart rates from the tip of your ear.
RESEARCH
Prototype 1
Research on facial expressions.
Prototype 2
Prototype 3
Different facial expressions effect to different type faces when you are chatting, In this case, Helvetica is used as a standard font.
App map diagram.
UI Examples
Welcome screen
Customization screens for your facial expression.
Chat screen
Pulse sensor with leds to indicate your heart rates.
The setup.
EmotiChat installation that simulate chat room from 2 different computers.
EmotiChat installation at Thesis exhibition, Parsons, 2014.
Final installation during thesis exhibition.