Motivational Environments: Strategies for Personalized Learning, Intelligent Creativity Support,and Open Health Innovation
Associate Professor, College of Nursing and Computer Science Department, New York University
Motivational Environments:Strategies for Personalized Learning, Intelligent Creativity Support,and Open Health Innovation Advances in wearable and ambient sensors, responsive spaces, robots and relational agents present transformative opportunities to develop context and affect aware systems for Personalized Learning, Intelligent Creativity Support, and Open Health Innovation. Affective Learning Companions, real-time multi-modal characters, empowered by rich student models and machine learning, are beginning to sense and respond to learners’ affective cues. Coupling these with creativity research methodologies and support strategies, the Motivational Environments research group is advancing empirical investigations towards Intelligent Creativity Support. Inventors’ Workshops (open online and physical, peer supported and expert mentored, communities) advance open health innovations, including: STEM Nursing; assistive dressing; Quantified Self behavior-change; and NYU/OpenIDEO Open Ebola Initiatives. These projects and systems are advancing state-of-the-art cyberlearning, human-computer interaction, and open health innovation, through novel methods, theories, technologies, architectures, and environments.
Dr. Winslow Burleson is an Associate Professor at NYU’s College of Nursing with affiliate appointments in computer science, education, and NYU’s Global Institute of Public Health, where he directs the Inventors’ Workshops network. He earned a BA in Bio-Physics from Rice University, MSE in Mechanical Engineering Product Design from Stanford University, and PhD in Media Arts and Sciences from the MIT Media Lab. Win is a social inventor with a transdisciplinary program of integrated research and education focused on health and educational technologies, informatics, design, simulation, and innovation. His laboratory and field based research advance human computer interaction, cyberlearning, creativity research, affective computing, intelligent environments, and media arts. He has authored over 100 scholarly publications and holds 10 patents. Win’s collaborations have twice been honored by Time Magazine best inventions of the year awards. He is a 2014 Fulbright Specialist Roster Candidate, received a 2013 Google Faculty Research Award and has been recognized by the National Academy of Engineering as “one of the nation’s brightest young engineering researchers and educators.”