Publikation

A Reporting Assistant for Railway Security Staff

Linglong Meng, Stefan Schaffer

In: Proceedings of the 2nd Conference on Conversational User Interfaces. International Conference on Conversational User Interfaces (CUI-2020) New York, NY, USA CUI ’20 ISBN 9781450375443 Association for Computing Machinery 2020.

Abstrakt

In this paper, we introduce RARSS, a reporting assistant for railway security staff. RARSS is a demonstration application with a multi-modal interface based on the Mobile Multimodal Interaction and Rendering (MMIR) framework. The system should support the security staff at railway premises (stations, trains, etc.) in Germany and inform about security relevant information about the travel of football fans or a group of people on their way to a major event. In the application we leverage multi keyword spotting (KWS) for detecting of the actual context and a grammar with specific voice commands to improve the semantic interpretation. The results of friendly user testing showed that the multimodal conversational interface was positively rated according the simplicity and the efficiency to make security reports by the security staff.

Projekte

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence