Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects (Wikipedia).
“As Human-Computer Interaction (HCI) and Interaction Design moved from designing and evaluating work-oriented applications towards dealing with leisure-oriented applications, such as games, social computing, art, and tools for creativity, we have had to consider e.g. what constitutes an experience, how to deal with users’ emotions, and understanding aesthetic practices and experiences. ” (via interaction-design.org).
Affecting Computing
Introduction to Affective Computing and Affective Interaction
Healthcare Implications
How to train autistic children to recognise emotional states in others and in themselves and act accordingly (via Affectiva).
The bracelet, named Q Sensor, measures skin conductance which in turn is related to emotional arousal – both positive and negative.
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Affective computing? MmmmH very interesting concept!. It’s real that emotions are a significant part of our live anc in the last few year researchers are studying and reviewing those. In my specialization (health psychology) we study and treat a human condition called “alexitimia” (http://it.wikipedia.org/wiki/Alessitimia) so my thoughts immediately turn to the possible applications of “afffective computing” ( also to depression and anxiety). Currently, in my practice, I fill out by hand the affective diary.
Last view on affective diary ( from the origianal articol) and the experience that triggers. The circuit is described by Kolb (1984) to explain learning from experience : ” experimental learning” I described it in a slide, for example, as a complement to the skills training ( I felt that he lacked as a reference). A question:what is the difference between the idea of the bracelet, named senso Q, and biofeedback training? Many thanks for your attention.
Hi Simona thanks for your interesting insights.
About “Senso Q” and “Biofeedback training”.
“Q Sensor” is able to “detect and record physiological signs of stress and excitement by measuring slight electrical changes in the skin.” From there, it can send signals to doctors, parents or caregivers, and those folks can react accordingly to information that they would otherwise not be privy to.
So the scenario is made up of: User + Smart Sensor + Doctor/folks feedback.
This “chain” is pretty similar to the “Biofeedback training” one. From this point of view they are quite similar
Thanks a lot for your contribute.