Affective Computing Timeline

Timeline created by rachselly
  • 3300 BCE

    Knapping

    Knapping
    A stone tool that allowed for protection and nourishment, as it kept hominids safe from predators, while also allowing them better access to meat which would nourish them. An alteration in diet would allow this group of people to increase brain development. This was not only an important step in the survival of humans amongst generations, but also in the creation of learning, language, and communication. A simple stone tool started the process of humanity as we know it today.
  • 3300 BCE

    Knapping

    Knapping
    A type of stone tool, allowed for protection and nourishment, as it kept hominids safe from predators, while also allowing them better access to meat which would nourish them. An alteration in diet would allow this group of people to increase brain development. This was not only an important step in the survival of humans amongst generations, but also in the creation of learning, language, and communication. A simple stone tool started the process of humanity as we know it today.
  • Moore's Law

    Moore's Law
    Gordon Moore's introduced one of the most famous trends in technology - the idea that the number of transistors on a circuit would double each year. This continual doubling was largely due to the shrinking size of transistors,“Moore’s Law continued into the second decade of the 21st century with the introduction of three-dimensional transistors that were tens of nanometers thick” (Gregersen,2019).
    Gregersen, E. (2019). Moore's law. Retrieved from https://www.britannica.com/technology/Moores-law
  • Moore's Law

    Moore's Law
    Gordon Moore, in his article, coined one of the most famous trends in technology, the number of transistors on a circuit would double each year. This continual doubling was largely due to the shrinking size of transistors,“Moore’s Law continued into the second decade of the 21st century with the introduction of three-dimensional transistors that were tens of nanometers thick” (Gregersen, 2019).
    Gregersen, E. (2019). Moore's law. Retrieved from https://www.britannica.com/technology/Moores-law
  • "Affective Computing" was published.

    "Affective Computing" was published.
    A document written by Rosalind Picard, outlining her ideas and research into affective computing, or how emotions play into technology. This, in turn, allowed for structure into an uncharted territory - learning about how artificial intelligence can use emotions in the vast world of computing.
  • "Affective Computing"

    "Affective Computing"
    A document written by Rosalind Picard, compiling and outlining her ideas and research into affective computing, or how emotions play into technology. Originally created in 1995, compiling her work, Picard eventually published her ideas in 1997. This, in turn, allowed for structure into an uncharted territory - learning about how artificial intelligence can use emotions in the vast world of computing.
  • Clippy and the squeezable mouse

    Clippy and the squeezable mouse
    Clippy (formerly known as Clippit) was the problematic icon used by Microsoft in their early software. Clippy was despised by many as being annoying and popping up at inopportune moments. This was one of the first projects worked on by Picard's team, the Affective Computing Research Group. They designed a squeezable mouse that detected tension. When tension/frustration was detected through the mouse, Clippy would then appear, instead of at random, problematic times.
  • Clippy

    Clippy
    Clippy (formerly known as Clippit) was the problematic icon used by Microsoft in their early software. Clippy was despised by many as being annoying and popping up at inopportune moments. This was one of the first projects worked on by Picard's team, the Affective Computing Research Group. They used affective computing and designed a squeezable mouse that detected tension. When tension/frustration was detected through the mouse, Clippy would then appear, instead of at random, problematic times.
  • In the next decade

    In the next decade
    In the next five to ten years, I predict we may be seeing the creation of a fully self driving car, by Elon musk’s predictions. Advances in machine learning and neural networks will possibly allow for autonomous driving. Although promises were made by Musk for the years 2018 and 2020, there are no self-driving cars, yet. This should be occurring after the issue of artificial intelligence operating a vehicle on man-made roads, with a high degree of reliability.
  • In the next decade

    In the next decade
    In the next five to ten years, I predict we may be seeing the creation of a fully self driving car, by Elon musk’s predictions. Advances in machine learning and neural networks will possibly allow for autonomous driving. Although promises were made by Musk for the years 2018 and 2020, there are no self-driving cars, yet. This should be occurring after the issue of artificial intelligence operating a vehicle on man-made roads, with a high degree of reliability.
  • In the next century

    In the next century
    My prediction for the future 100 years would be human interstellar space travel. It has been sixty years since the first trip to the moon, and I feel as though another century would allow for humans to travel to more space destinations. Possibly, this could be experienced not only by real astronauts, but by regular humans too, who perhaps want to take a sabbatical to Mars.
  • In the next century

    In the next century
    My prediction for the future 100 years would be human interstellar space travel. It has been sixty years since the first trip to the moon, and I feel as though another century would allow for humans to travel to more space destinations. Possibly, this could be experienced not only by real astronauts, but by regular humans too, who perhaps want to take a sabbatical to Mars.