GRILLBot: A Multi-modal Conversational Agent for Complex Real-world Tasks

Gemmell, C., Mackie, I., Owoicho, P. O., Rossetto, F., Fischer, S. and Dalton, J. (2022) GRILLBot: A Multi-modal Conversational Agent for Complex Real-world Tasks. In: 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2022), Edinburgh, UK, 7-9 Sept 2022, pp. 654-658.

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Abstract

We present GRILLBot, an open-source multi-modal task-oriented voice assistant to help users perform complex tasks, focusing on the domains of cooking and home improvement. GRILLBot curates and leverages web information extraction to build coverage over a broad range of tasks for which a user can receive guidance. To represent each task, we propose TaskGraphs as a dynamic graph unifying steps, requirements, and curated domain knowledge enabling contextual question answering, and detailed explanations. Multi-modal elements play a key role in GRILLBot both helping the user navigate through the task and enriching the experience with helpful videos and images that are automatically linked throughout the task. We leverage a contextual neural semantic parser to enable flexible navigation when interacting with the system by jointly encoding stateful information with the conversation history. GRILLBot enables dynamic and adaptable task planning and assistance for complex tasks by combining elements of task representations that incorporate text and structure, combined with neural models for search, question answering, and dialogue state management. GRILLBot competed in the Alexa prize TaskBot Challenge as one of the finalists.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Rossetto, Federico and Fischer, Ms Sophie and Gemmell, Carlos and Mackie, Iain and Owoicho, Paul Ogbonoko and Dalton, Dr Jeff
Authors: Gemmell, C., Mackie, I., Owoicho, P. O., Rossetto, F., Fischer, S., and Dalton, J.
College/School:College of Science and Engineering
College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2022 Association for Computational Linguistics
Publisher Policy:Reproduced under a Creative Commons licence
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
310549Dalton-UKRI-Turing FellowJeff DaltonEngineering and Physical Sciences Research Council (EPSRC)EP/V025708/1Computing Science