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Automated 'coach' could help with social interactions
The software, called MACH (My Automated Conversation coacH), uses a computer-generated onscreen face, along with facial, speech, and behavior analysis and synthesis software, to simulate face-to-face conversations. It then provides users with feedback on their interactions.
Social phobias affect about 15 million adults in the United States, according to the National Institute of Mental Health, and surveys show that public speaking is high on the list of such phobias. For some people, these fears of social situations can be especially acute: For example, individuals with Asperger's syndrome often have difficulty making eye contact and reacting appropriately to social cues. But with appropriate training, such difficulties can often be overcome.
The research was led by�MIT Media Lab�doctoral student�M. Ehsan Hoque, who says the work could be helpful to a wide range of people. "Interpersonal skills are the key to being successful at work and at home," Hoque says. "How we appear and how we convey our feelings to others define us. But there isn't much help out there to improve on that segment of interaction."
Many people with social phobias, Hoque says, want "the possibility of having some kind of automated system so that they can practice social interactions in their own environment. ... They desire to control the pace of the interaction, practice as many times as they wish, and own their data."
The MACH software offers all those features, Hoque says. In fact, in randomized tests with 90 MIT juniors who volunteered for the research, the software showed its value.
First, the test subjects -- all of whom were native speakers of English -- were randomly divided into three groups. Each group participated in two simulated job interviews, a week apart, with MIT career counselors.
But between the two interviews, unbeknownst to the counselors, the students received help: One group watched videos of interview advice, while a second group had a practice session with the MACH simulated interviewer, but received no feedback other than a video of their own performance. Finally, a third group used MACH and then saw videos of themselves accompanied by an analysis of such measures as how much they smiled, how well they maintained eye contact, how well they modulated their voices, and how often they used filler words such as "like," "basically" and "umm."
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