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Adaptive Strategies for Sustainable Long-Term Social Interaction (ALIZ-E)
Start date: Mar 1, 2010, End date: Aug 31, 2014 PROJECT  FINISHED 

Description From theory to practice: Methods for an adaptive and prolonged child-robot interaction The goal of ALIZ-E is to develop novel methods for developing and testing interactive, mobile robots which will be able to socially interact with human users over extended periods of time, i.e. a possibly non-continuous succession of interactions which can refer back to, and build forth on, previous experiences. To demonstrate and evaluate the scientific methods, ALIZ-E will instantiate and evaluate these methods in a succession of integrated systems that interact with hospitalized children undergoing diabetes treatment. The theory and practice of ALIZ-E will impact on theoretical cognitive systems research (e.g., memory, long-term affective interaction), implementation (e.g., cloud computing for cognitive systems, speech processing for young users) and ultimately commercial applications of these technologies.
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