This special session focuses on end-user development for social robotics. So far, social robots are developed for a wide range of applications. Consequently, researchers are interested in providing the end-users with intuitive, natural and enjoyable interaction experiences with the social robots. Also, as artificial intelligence becomes more and more capable, end-user development can enable users to profit from these intelligence gains.
Different end-user groups are now more involved throughout different stages of the life-cycle of robotic systems development, through creating interaction scenarios and robot behaviors, designing and personalizing the robots, promoting robot’s learning. The end-user development allows social robotic systems to be more acceptable and adaptable to different scenarios, but it also presents major challenges including improving the ease of use, modularity and reusability as well as evaluating results of introducing end-user development tools.
The special session welcomes papers describing tools and methods (interfaces, frameworks, algorithms, activities) that deal with the challenges of the end-user development with the goal of improving the experience of interacting with social robots.
The proceedings will include all the presented communications to the conference. As in previous editions of IWANN, the proceedings will be published with Springer-Verlag on the Lecture Notes on Computer Science (LNCS) series, and the books will be available on-site. It is also foreseen the publication of an extended version of selected papers in a special issue on several specialized journals such as Neurocomputing (Elsevier), and Neural Processing Letters (Springer).