CAPRIO with Inclusive Pedestrian Path Recommendations

Accessibility and usability have been key concerns in the design of computer interfaces through which users interact with applications and systems. Recently, chatbots have gained popularity with service providers for improvements in this area. In this paper, we present our experience in designing and implementing CAPRIO’s inclusive chatbot-based interface for pedestrian path recommendations. Our CAPRIO system provides inclusive usability by extracting user preferences in a non-intrusive dialog and using them to build a more accurate model for the user’s intent. It uses the Microsoft Bot Framework (MBF) and NLP modeling to support text and voice dialog.