Do you ever wish
your phone understood wat you wanted without having to type it out or resorting
to voice command? What if the technology
around you could function in a way that reflect your mood and work to improve
it? Rana el
Kaliouby, co-founder of a tech start up called Affectiva, has been
working to find ways to incorporate emotions into technology. This technology, called “affective computing,”
adds the component of human emotion to computers.
While
El Kaliouby sees a variety of ways that this new advance could benefit people, her
main goal is to apply the technology to healthcare. Specifically, she thinks
that a face recognition and emotion detector could help researchers more
accurate feedback regarding clinical trials, so patients do not feel like they
need to please the doctor. If they are uncomfortable or feel pain, the software
would detect that and an accurate adjustment can be made to the product.
The
program is trained to recognize “action units,” or tiny muscle movements
happening across the face, twenty times per second. These action units include
blinks, winks, lip puckers, inner and outer brow raises, and many more tiny
movements. Affectiva’s program analyzes the
movements and categorizes into seven basic emotions happiness, sadness,
surprise, fear, anger, disgust, and contempt.
After analyzing countless videos
of facial expressions, the company database has archived over 40 billion “emotion
data points.” Ideally, computers,
phones, and even our refrigerators would use this technology to recognize how
we are feeling and react accordingly, or at least make a suggestion.
Emotion-processing
technology could drastically change the way we use technology, the way we
interact with technology, and the way it interacts with us. Would you want your phone to react to your
facial expressions and suggest different ideas of what to do, or would you rather
have technology stay out of your feelings and just do as you tell it to?
http://www.smithsonianmag.com/innovation/rana-el-kaliouby-ingenuity-awards-technology-180957204/
Erina Taradai (Group 3)





