Affective Technology Research Group

Research on Emotions and Online Learning at UOC

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MIT researchers and designers are developing the Affective Intelligent Driving Agent (AIDA) - a new in-car personal robot that aims to change the way we interact with our car

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An emotion markup language

Posted by cfernandezba September 2nd, 2010

The standardization of Web technologies is part of the work developed by W3C (World Wide Web Consortium). One of the groups involved in the development of web standards is the Multimodal Interaction Working Group, responsible for the implementation of emotional elements that computers can handle. This specification has been called Emotion Markup Language.

The idea is simple: to go beyond the traditional methods we humans are using to communicate our emotions and the way computers can understand them; basically meaning to go beyond emoticons, so that human computer interaction can be closer to more natural ways of human communication.

w3c

If you want to read an extended article, go here.

Emotion Mapping

Posted by cfernandezba June 22nd, 2010

Can you imagine buying a city map based on emotions?  Maybe you would visit different places according to specific emotions already tagged for such places instead of going to the ‘always-the-same top ten highlights’. Maybe this would fit better what you are looking for in a city !

Chistian Nold has worked with several groups in the design of these maps for five different world cities. Groups of people walking around the city and describing their reactions to particular places in several ways in a digital map.

Do not miss the project and the representation of some maps.

sanfco_map

Ishiguro and how robots get close to human emotions

Posted by cfernandezba April 6th, 2010

There we have him: Iroshi Ishiguro, quite well known thanks to his continuous work with robots.

As time goes by, the degree of realism in virtual worlds, videogames or robots is getting really close to what we call ‘reality’. In this sense, Iroshi is bringing something really amazing.  The Geminoid F, his new creation, shows a set of facial expressions that would make many people doubt whether we are in front of a robot or a person. The video is absolutely enlightening.

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Emotion in Games - Sensing and inducing player experience and affect

Posted by cfernandezba March 16th, 2010

IEEE CIG Special Session: Emotion in Games - Sensing and inducing player experience and affect, in conjunction with the 2010 IEEE Conference on Computational Intelligence and Games (CIG) (http://game.itu.dk/cig2010/), August 18-21, Copenhagen, Denmark.

Organized by the IEEE CIS Task Force on Player Satisfaction Modeling and the Humaine Association SIG on Games and Entertainment
21 August 2010 - 21 August 2010 Copenhagen, Denmark

Neurocinema: the science of playing with our emotions

Posted by cfernandezba February 9th, 2010

Mindsign Neuromarketing is conducting a study to monitor the brain activity of our brain when watching a movie. The company is using Magnetic Resonance (MRi) in order  to detect which areas of the brain are stimulated by particular scenes. Ideally, this could be a new technique for movie directors to create films that produce particular affective states plus ignoring scenes that may be considered unuseful due to lack of arousal.

The question behind:  are they in the way to kill cinema as an art?

http://www.youtube.com/v/8XYAQ69×918

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iFEEL_IM - reproducing emotions in virtual worlds

Posted by cfernandezba January 21st, 2010

The Tachi Lab is a laboratory specialized in Virtual reality and Telexistence, located in the University of Tokyo.

The Haptics project presents us a way to reinforce and reproduce emotions experienced through virtual worlds, especially Second Life.

The system is able to recognize nine different emotions in the senteces written by avatars and reinforces own feelings through haptic devices connected to individuals, that for example allow to feel hugs by pressuring on the chest and on the back.

Difficult to imagine? Watch the following video !



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A new virtual agent: the SEMAINE project

Posted by cfernandezba January 7th, 2010

Fresh and good news: the SEMAINE consortium has presented the first full implementation of their virtual affective agent and at the moment is available for download here.

This Sensitive Artifial Listener (SAL) intends to engage users in a conversation by paying attention to unverbal communication and affective states of users. The objective of these SALs are to foster their own emotions within users’ affective states.

You can see a demo in the following video:




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More information in the website of the SEMAINE project.

LREC 2010 Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality

Posted by cfernandezba December 18th, 2009

LREC 2010 Workshop on Multimodal Corpora: Advances in Capturing, Coding and Analyzing Multimodality

*** 18 May 2010, Malta ***

This LREC 2010 workshop on multimodal corpora will feature a special
session on databases of motion capture, trackers, inertial sensors,
biometric devices and image processing.

http://www.multimodal-corpora.org

New journal on Affective Computing

Posted by cfernandezba December 18th, 2009

The IEEE Transactions on Affective Computing is a new journal intended to be a cross disciplinary and international archive journal aimed at disseminating results of research on the design of systems that can recognize, interpret, and simulate human emotions and related affective phenomena.

Link to the journal

Testing Emotiv EPOC: the automated facial recognition

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Posted by cfernandezba December 18th, 2009

A few months ago we acquired a new headset with a brain-computer interface called EPOC; a product developed by Emotiv Systems.

The headset allows the gathering of data in three categories of inputs: conscious thoughts, emotions and facial expressions. There is a lot to say about the capabilities of EPOC to measure emotion-related data and about executingg specific actions based on previously trained thoughts, but we have been dedicating some effort to test the effectivity in the identification of facial expressions and the results are pretty interesting.

EPOC picks up signals of the facial muscles through EEG sensors. It is in this way that expressions like smiling, laughing or jaw or teeth clenching are detected by the system once it has been trained by a particular person. Detections are generally very fast (10 ms) and the degree of accuracy is quite good.

The possibilities of EPOC for the educational and gaming industry are huge. Further news in our research will be announced in this blog.

For more information visit Emotiv.

carles_emotiv_small black-epoch-headset