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SUMMARY:Technologies for learning and wellbeing - Rafael A. Calvo
DTSTART:20130221T111500Z
DTEND:20130221T121500Z
UID:TALK43309@talks.cam.ac.uk
CONTACT:Alistair Stead
DESCRIPTION:Digital technologies have made their way into all the aspects 
 of our lives that\, according to psychology\, influence our wellbeing -- e
 verything from social relationships and curiosity to engagement and learni
 ng.  By bringing together research and methodologies well-established in p
 sychology\, education\, neuroscience and human-computer interaction\, we c
 an begin to cultivate a new field dedicated to the design and development 
 of technology that supports wellbeing and human potential.  \nMore specifi
 cally\, in this seminar I will present a summary of our current projects o
 n Affect and Learning technologies.  This will be followed with an introdu
 ction to our Human-Computer interaction work aiming to support psychologic
 al wellbeing. The suggested HCI framework builds on positive psychology an
 d wellbeing literature\, including that from neuroscience. \n\n__Rafael Ca
 lvo is Associate Professor at the University of Sydney. He has a PhD in Ar
 tificial Intelligence applied to automatic document classification (e.g. w
 eb site classification). He has taught at several Universities\, high scho
 ols and professional training institutions. He worked at the Language Tech
 nology Institute in Carnegie Mellon University\, Universidad Nacional de R
 osario (Argentina) and on sabbaticals at The University of Cambridge and U
 niversity of Memphis. Rafael also has worked as an Internet consultant for
  projects in Australia\, Brasil\, the US and Argentina. Rafael is the reci
 pient of 5 teaching awards\, and the author of two books and many publicat
 ions in the fields of learning technologies\, affective computing and comp
 utational intelligence. \nRafael is Associate Editor of the IEEE Transacti
 ons on Learning Technologies and of IEEE Transactions on Affective Computi
 ng and Senior Member of IEEE.__\n
LOCATION:Rainbow Room (SS03)\, Computer Laboratory
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