About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
LaCATODA 2018
Conference paper
Conversational control interface to facilitate situational understanding in a city surveillance setting
Abstract
In this paper we explore the use of a conversational interface to query a decision support system providing information relating to a city surveillance setting. Specifically, we focus on how the use of a Controlled Natural Language (CNL) can provide a method for processing natural language queries whilst also tracking the context of the conversation with relation to past utterances. Ultimately, we propose our conversational approach leads to a versatile tool for providing decision support with a low enough learning curve such that untrained users can operate it either within a central command location or when operating within the field (at the tactical edge). The key contribution of this paper is an illustration of applied concepts of CNLs as well as furthering the art of conversational context tracking whilst using such a technique.