Issue No. 04 - Apr. (2014 vol. 47)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MC.2014.98
Mohammed Ehsan Hoque , ROC HCI, University of Rochester
Rosalind W. Picard , MIT Media Lab
Automated nonverbal sensing and feedback technologies, such as My Automated Conversation coacH (MACH), can provide a personalized means to better understand, evaluate, and improve human social interaction--for both practical and therapeutic purposes, and to advance future communications research. The first Web extra at http://youtu.be/l3ztu9shfMg discusses My Automated Conversation coacH (MACH), a system for people to practice social interactions in face-to-face scenarios. MACH consists of a 3D character that can see, hear, and make its own decisions in real time. The second Web extra at http://youtu.be/krdwB8bfXLQ discusses software developed at MIT that can be used to help people practice their interpersonal skills until they feel more comfortable with situations such as a job interview or a first date. The software, called MACH (short for 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.
Context awareness, Sensors, Real-time systems, Speech recognition, Social factors, Feedback, Behavioral science, Human factors,affective computing, human-computer interaction, nonverbal communication, social skills training, automated sensing technologies, job interviews, aware computing
Mohammed Ehsan Hoque, Rosalind W. Picard, "Rich Nonverbal Sensing Technology for Automated Social Skills Training", Computer, vol. 47, no. , pp. 28-35, Apr. 2014, doi:10.1109/MC.2014.98