What is Affective Computing?


Affective computing is the idea that humans can program machines to recognize, interpret, process, and simulate the range of human emotions. This concept centers on the development of programs and hardware that create the faculties for a computer to do this, such as implementing a video camera to capture facial cues and gestures that works in conjunction with an algorithm that can detect and interpret these human affects. Not to be confused with facial recognition technologies associated with security, like those that facilitate secure payment transactions, affective computers recognize emotional and behavioral cues that trigger a reactionary process in the computer. A potential application of affective computing is in online learning situations wherein a computerized tutor reacts to facial cues of boredom in a student in an effort to motivate or boost their confidence. With researchers already working on educational applications, and start-up companies exploring other novel uses, growth in the field of affective computing has deep implications for the future of human and computer interactions.

INSTRUCTIONS: Enter your responses to the questions below. This is most easily done by moving your cursor to the end of the last item and pressing RETURN to create a new bullet point. Please include URLs whenever you can (full URLs will automatically be turned into hyperlinks; please type them out rather than using the linking tools in the toolbar).

Please "sign" your contributions by marking with the code of 4 tildes (~) in a row so that we can follow up with you if we need additional information or leads to examples- this produces a signature when the page is updated, like this: - Larry Larry Feb 8, 2012

(1) How might this technology be relevant to the educational sector you know best?

  • Affective computing has the potential to contribute to responsive and personalised adaptive tutoring systems. These systems will be able to predict when students become confused for example and will provide students with timely support and feedback specifically for them. - jason.lodge jason.lodge Feb 22, 2016
  • add your response here

(2) What themes are missing from the above description that you think are important?

  • add your response here
  • add your response here

(3) What do you see as the potential impact of this technology on teaching, learning, or creative inquiry?

  • Machines that can respond to human emotions will open up new areas of personalised learning that have to date been unimaginable. - jason.lodge jason.lodge Feb 22, 2016
  • add your response here

(4) Do you have or know of a project working in this area?

  • Most of the work that I am aware of in this area is being conducted by Picard and colleagues in the MIT media lab. - jason.lodge jason.lodge Feb 22, 2016
  • add your response here

Please share information about related projects in our Horizon Project sharing form.