Technology and Emotions | Roz Picard | TEDxSF

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2011-06-10に共有
Professor Rosalind W. Picard, ScD is founder and director of the Affective Computing research group at the MIT Media Lab, co-director of the Things That Think consortium, and leader of the new and growing Autism & Communication Technology Initiative at MIT. In April 2009 she co-founded Affectiva, Inc., where she serves as chairman and chief scientist.

Picard holds a bachelor's degree in electrical engineering with highest honors from the Georgia Institute of Technology, and master's and doctoral degrees, both in electrical engineering and computer science, from MIT. Prior to completing her doctorate at MIT, she was a member of the technical staff at AT&T Bell Laboratories. In 1991 she joined the MIT Media Lab faculty, where she became internationally known for content-based retrieval research, for creating new tools such as the Photobook system, and for pioneering methods of automated search and annotation in digital video.

She is the author of the award-winning book Affective Computing, which was instrumental in starting a new field by that name. She has authored 200 scientific articles and chapters and also holds multiple patents. In 2005, she was honored as a Fellow of the IEEE.

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コメント (21)
  • Great video. I can't wait to see the products that come from her research.
  • Impressive. The possibilities are extensive - accross both the public and private sectors.
  • This technology would be amazing for Aspies and people with mental blocks. I have a difficult time understanding facial expressions or interpreting ques and I have major social anxiety where at times, I cannot stand still and almost go into a frenzy of anxiety.
  • @Flowfree89
    plus, I think there was a study, measuring American's and Asian's (Japanese) different way to express emotions. Of course Americans were more expressive than Asians, BUT the interesting fact was that this gap between cultures was limited to social scenarios, while there was no difference in showing emotions when the American or the Japanese were by themselves (like, at home, watching tv, ...).
  • The Affective sensors are breakthrough innovation. With simple measurements of temperature and perspiration, the sensors can correctly predict positive and negative responses to stimuli. Combining it with facial emotion detection is only an approximation. Where temperature and perspiration are physiological, sentiment is subjective. With machine intelligence those approximations will significantly improve.
  • I have a theory that may be very interesting to you. In short it hypothisises that tone of voice is music because it is universal across language, like facial expression, instrumental music being like puppetry where inanimate objects are manipulated to seem to express emotion. Working backwards from music I have formulated a likley "periodic table" of emotional elements that would then be the basis of all emotional compounds. See my TEDx video "The Geometry of Emotion"
  • @jakwire
    Prof Picard -- what is the likelihood of a system that can make qualitative discernment -- High (fear vs. extreme joy), Low (boredom vs. peacefulness)... Thanks for this great info!
  • When I'm sad or stressed, when anything's off basically, I can feel it in my wrists. My right one, mostly. Kind of makes sense now. It's like joint pain, but deeper. Idk if that's something different but that's what I thought when I saw the left/right wrist graph
  • By the way not only you can tell what a character feels in a foreign film when you do not know the language and customs with your EYES CLOSED so that you can ONLY hear tone of voice or else with your EARS COVERED so you can ONLY see facial expression.What IS prescribed by culture is what emotion is OK or is not OK to feel in a given situation. How a given emotion is manifested in tone of voice or facial expression seems to be like breathing, it is instinctual and universal.
  • @cbjewelz
    I guess that is true, I was more thinking about body language. But what is true is the intensity of facial and tonal expressions varies with culture. For instance, as a westerner, in general, I have a harder time reading the facial expressions of Asian people. And at the risk of sounding offensive, some Asian languages sound angry or "stressful" a lot of the time just because of their rhythm and sounds.
  • I wonder if the brain waves variations matches those of the heart rate, being almost directly proportional.. at least for the plotting of the waves that don't separate left and right brain (e.g. the plotting of the bride at her wedding could easily match the plotting of her heart rate. In fact if I have to check the exact time of something that happened in the past - e.g. someone stole my phone - I check the heart rate graph, and it's accurate to the minute).
  • There's more scientist to do with this technology, congratulations for starting something new.