Recognizing Human Internal States: A Conceptor-Based Approach

--The past few decades has seen increased interest in the application of social robots to interventions for Autism Spectrum Disorder as behavioural coaches [4]. We consider that robots embedded in therapies could also provide quantitative diagnostic information by observing patient behaviours. The social nature of ASD symptoms means that, to achieve this, robots need to be able to recognize the internal states their human interaction partners are experiencing, e.g. In this paper we discuss these two questions in depth and propose a novel, conceptor-based classifier . We report the initial results of this system in a proof-of-concept study and outline plans for future work. The development of socially interactive robots has inspired research into various applications for these tools.