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The Affective Social Computing Group HomePage
We are interested in research on affect, emotion,
and personality at the intersection of research in Artificial
Intelligence, Human-Computer Interaction, and Robotics. Emotional systems
in humans influence important cognitive processes such as salience determination, focus and attention,
priority determination, interruption in emergency situation, memorization
and recall, goal generation, goal attribution, categorization, and
preference. All these processes are important for intelligent systems
with limited resources evolving in an unpredictable environment, including
artificial ones (W. Clancey; N. Frijda; M. Minsky, D. Norman, A. Ortony,
R. Picard, D. Rumelhart, H. Simon; A. Sloman; R. Zajonc).
We currently focus on two aspects of the role of
emotions in (1) communication (human-computer interaction, and
computer-mediated communication); (2) decision-making; (3) study of the co-evolution
of social structures and people with information technologies. My research
therefore involves:
- designing and
developing computer systems and interfaces with increased "awareness" of
their user's states and communication patterns in order to adapt
appropriately to their users: In particular, we focus on Affect,
emotions, and personality. Even though there exists a multitude of
applications where human Affect would gain to be acknowledged and
responded to, we currently specialize on telemedicine, driver's safety, and training. As our ideas progress, we will explore
other applications.
- studying and importing
some of the important functions of human emotions and social
interactions to the development of Artificially intelligent systems,
both software agents and robots: Indeed, pure reasoning and
logic have proven to be insufficient to account for true intelligence in
real life situations, in which there simply is no time to determine
which action to take out of an infinite number of possible ones, given a
set of premises.
Our
view is not that computers could actually
feel, but that it is possible to extract
some major functions of emotional systems in humans and simulate them to
render artificial systems more intelligent as well as aware of human
affective and/or social processes. We can learn from the evolution of
emotions in human intelligence, and its role in our development as a
species. Furthermore, with the explosion of multi-agent systems, in which several agents
interact and must resolve conflicts, simulating the social dimension of
emotional intelligence can lead to the development of increasingly
intelligent artificial artifacts.
- Evaluating our systems and intelligent user interfaces concurrently as
we design them to ensure that the technologies of the future are truly
accepted and enhance human lives.
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