CAPRIO with Inclusive Pedestrian Path Recommendations
DocUID: 2023-005Author: Brian T. Nixon, Zhiyong Chen, Sai Konduru, Yuxin Liu, Constantinos Costa, Panos K. Chrysanthis
Abstract: 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.
Keywords: computer interfaces;pedestrians;chatbots;usability
Published In: 24th IEEE International Conference on Mobile Data Management (MDM)
Pages: 180-183
Place Published: Singapore
Year Published: 2023
DOI: 10.1109/MDM58254.2023.00037
Project: CAPRIO Subject Area: Chatbots, Recommender Systems, Path Finding, Usability
Publication Type: Demonstration
Sponsor: Others