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Affective Computing Timeline

  • Facial Recognition

    Facial Recognition
    Paul Ekman created the first Facial Action Coding System (FACS) which was groundbreaking facial recognition technology that analyzed and categorized facial muscle movements and broke them down into processable units that recognized universally agreed upon emotional states.
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    Affective Computing Timeline

  • Idea of Affective Computing

    Idea of Affective Computing
    Rosalind Picard believes the missing ingredient in making Ai technology more intuitive is emotions, as feelings influence human's vision, attention and how we perceive things. She publishes a book called "affective computing" sharing her bold new ideas effectively launching a new branch of artificial intelligence and computer science.
  • Microsoft's Clippy

    Microsoft's Clippy
    Microsoft releases "Clippy" an intelligent user interface for Microsoft Office that aided users via the use of an interactive animated figure that interacted with Microsoft Office assistance information. Overall, Clippy was reviled because of it's failure to be intuitive to the user's emotional state and being perpetually too helpful.
  • Pepper the Social Machine

    Pepper the Social Machine
    In 2014, Aldebaran releases the world's first commercially available social machine. Pepper comes equipped with an interface that enables communication with people, including the latest voice recognition technology, superior joint technology to realize graceful gestures, and emotion recognition that analyzes expressions and voice tones.
  • HireVue

    Released in 2014 this artificial intelligence hiring system reshaped how companies assess their workforce — and how prospective employees prove their worth. Designed by the recruiting-technology firm HireVue, the system uses candidates’ computer or cellphone cameras to analyze their facial movements, word choice and speaking voice before ranking them against other applicants based on an automatically generated “employability” score.
  • Predictive Policing

    Predictive Policing
    Artificial Intelligence will fully replace humans within law enforcement in the field. These robots will have the ability to identify patterns, allowing them to better predict, anticipate, and prevent crime. The future is predictive policing.
  • Transhumanism is here

    Transhumanism is here
    Cognitive Augmentations (brain chips) are widely used which allow for brain-to-brain communication, enhanced memory, and cognition. Technology now can be controlled using only our minds and we have little need to communicate using speech.