Approaches for Dialog Management in Conversational Agents

Jan-Gerrit Harms; Pavel Kucherbaev; Alessandro Bozzon; Geert-Jan Houben

doi:10.1109/MIC.2018.2881519

Approaches for Dialog Management in Conversational Agents

Jan-Gerrit Harms, Pavel Kucherbaev, Alessandro Bozzon, Geert-Jan Houben

Research output: Contribution to journal › Article › Scientific › peer-review

53 Citations (Scopus)

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Abstract

Dialog agents, like digital assistants and automated chat interfaces (e.g., chatbots), are becoming more and more popular as users adapt to conversing with their devices as they do with humans. In this paper, we present approaches and available tools for dialog management (DM), a component of dialog agents that handles dialog context and decides the next action for the agent to take. In this paper, we establish an overview of the field of DM, compare approaches and state-of-the-art tools in industry and research work on a set of dimensions, and identify directions for further research work.

Original language	English
Article number	8536470
Pages (from-to)	13-22
Number of pages	10
Journal	IEEE Internet Computing
Volume	23
Issue number	2
DOIs	https://doi.org/10.1109/MIC.2018.2881519
Publication status	Published - 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Autonomous agents
Software agents
Internet
Task Analysis
Probabilistic logic
Natural languages

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10.1109/MIC.2018.2881519

08536470Final published version, 1.36 MB

Cite this

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Approaches for Dialog Management in Conversational Agents

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Keywords

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