Stanford Robotics Seminar: Automation vs. Augmentation: Socially Assistive Robotics and the Future of Work, Prof. Maja Mataric , USC

Stanford Robotics Seminar<br><br>Title: Automation vs. Augmentation: Socially Assistive Robotics and the Future of Work<br>Speaker: Prof. <a href="http://www-robotics.usc.edu/%7Emaja/">Maja Mataric</a> , USC <br>Date: November 3, 2017<br>Time: 2:00pm<br>Location: Gates 104<br><br>Abstract: <br>Robotics is booming all around us. A field that was originally driven by the desire to automate physical work is now raising concerns about the future of work. Less discussed but no more important are the implications on human health, as the science of longevity and resilience indicates that having the drive to work is key for health and wellness. However, robots, machines that were originally invented to automate work, are also becoming helpful by not doing any physical work at all, but instead by motivating and coaching us to do our work, based on evidence from neuroscience and behavioral science demonstrating that human behavior is most strongly influenced by physically embodied social agents, including robots.The field of socially assistive robotics (SAR) focuses on developing an intelligent socially interactive machine that provides assistance through social rather than physical means. The robot’s physical embodiment is at the heart of SAR’s effectiveness, as it leverages the inherently human tendency to engage with lifelike (but not necessarily human-like or otherwise biomimetic) agents. People readily ascribe intention, personality, and emotion to robots; SAR leverages this engagement to develop robots capable of monitoring, motivating, and sustaining user activities and improving human learning, training, performance and health outcomes. Human-robot interaction (HRI) for SAR is a growing multifaceted research field at the intersection of engineering, health sciences, neuroscience, social, and cognitive sciences, with rapidly growing commercial spinouts. This talk will describe research into embodiment, modeling and steering social dynamics, and long-term adaptation and learning for SAR, grounded in projects involving multi-modal activity data, modeling personality, and engagement, formalizing social use of space and non-verbal communication, and personalizing the interaction with the user over a period of months, among others. SAR systems have been validated with a variety of user populations, including stroke patients, children with autism spectrum disorders, elderly with Alzheimer’s and other forms of dementia; this talk will cover the frontiers of SAR research as well as applications. <br><br>Bio: <br><a href="http://www-robotics.usc.edu/%7Emaja/">Maja Mataric</a> is Chan Soon-Shiong Professor of Computer Science, Neuroscience, and Pediatrics at the University of Southern California, founding director of the USC Robotics and Autonomous Systems Center, and Vice Dean for Research in the Viterbi School of Engineering. Her Ph.D. and MS are from MIT and BS from the University of Kansas. She is Fellow of AAAS, IEEE, and AAAI, and received the Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring, Anita Borg Institute Women of Vision Award in Innovation, the Okawa Foundation, NSF Career, MIT TR35, and IEEE RAS Early Career Awards. She has published extensively and is active in K-12 STEM outreach. A pioneer of socially assistive robotics, her research enables robots to help people through social interaction in therapy, rehabilitation, training, and education, developing robot-assisted therapies for autism, stroke, Alzheimer's and other special needs, as well as wellness interventions <a href="http://robotics.usc.edu/interaction/">http://robotics.usc.edu/interactio.... She is also founder and CSO of Embodied, Inc. <a href="http://www.embodied.me">www.embodied.me</a>.<br><br><br>

Date: 
Friday, November 3, 2017 - 2:00pm to 3:00pm
location: 
Gates Computer Science, 353 Serra Mall, Stanford, CA 94305, USA