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Affecting Computing Timeline
The ability to simulate empathy on a machine that can interpret the emotional states of humans and adapt their behavior to them. -
Concept of Affective Computing
The concept of Affective Computing was Pioneered by Rosalind Picard in 1995 as she wrote a paper on affective computing. She discusses how a machine should eventually be able to interpret and adapt to the behaviors and emotions that humans are feeling. Affective Computing should be able to recognize facial expressions, gestures, body language, audio, and text. https://www.predictiveanalyticstoday.com/what-is-affective-computing/ https://www.youtube.com/watch?v=sRh8AUakO90 -
Galvactivator
According to Yonck, the galvactivator was invented in 1999. It was a wearable glove that sent biofeedback information from the player that was playing a computer game. As there were increases in physiological arousal, the glove would become brighter. The reaction of the glove glowing brighter was from the glove being able to sense the player's skin conductivity. -
iSET was developed
iSET stands for "Interactive Social-Emotional Toolkit." The purpose of this technology is to help people with ASD (Autism Spectrum Disorders) to recognize emotion. After reading how this form of technology is used, I found it to be beneficial for those who struggle with reading emotions or gauging how someone is feeling. I think this is a great invention to help those who have ASD to communicate and respond better. https://iset.media.mit.edu/#used -
ICLAM
After the galactivator, the iClam was invented. The iClam was a wristband that was able to monitor sleep, fitness, activities, and heart rate. -
nViso
This type of software allows the computer to comprehend human behaviors dependent on their emotion analytics. They have recently advanced their technology to be able to measure multiple facial reactions at once. These instantaneous reactions allow companies to get instant feedback on reactions from their consumers. https://vimeo.com/176469714
https://www.nviso.ai/en/about-us -
Emotient
Helps detect facial expressions on a cloud-based service of customer's responses to content that is presented to them. -
Future
Going forward, I believe technology will keep adapting and it will be able to master the facial expression and emotions we are displaying perfectly. The technology we have in the future will be more suitable and personal to you as it will adjust to how you operate and function, similar to how if we browse online. If we look at certain items online, our computer has cookies that allow websites to advertise products we have looked at it previously since they know we like that.
