survey

Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges

Authors:

Jordi MarcoAuthors Info & Claims

ACM Computing Surveys, Volume 55, Issue 5

Article No.: 91, Pages 1 - 42

https://doi.org/10.1145/3527450

Published: 03 December 2022 Publication History

Abstract

The use of natural language interfaces in the field of human-computer interaction (HCI) is undergoing intense study through dedicated scientific and industrial research. The latest contributions in the field, including deep learning approaches like recurrent neural networks (RNNs), the potential of context-aware strategies and user-centred design approaches, have brought back the attention of the community to software-based dialogue systems, generally known as conversational agents or chatbots. Nonetheless, and given the novelty of the field, a generic, context-independent overview of the current state of research on conversational agents covering all research perspectives involved is missing. Motivated by this context, this article reports a survey of the current state of research of conversational agents through a systematic literature review of secondary studies. The conducted research is designed to develop an exhaustive perspective through a clear presentation of the aggregated knowledge published by recent literature within a variety of domains, research focuses and contexts. As a result, this research proposes a holistic taxonomy of the different dimensions involved in the conversational agents’ field, which is expected to help researchers and to lay the groundwork for future research in the field of natural language interfaces.

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Index Terms

Software-Based Dialogue Systems: Survey, Taxonomy, and Challenges
1. General and reference
  1. Document types
    1. Surveys and overviews
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Natural language interfaces

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 55, Issue 5

May 2023

810 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3567470

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Published: 03 December 2022

Online AM: 13 April 2022

Accepted: 16 March 2022

Revised: 14 March 2022

Received: 22 June 2021

Published in CSUR Volume 55, Issue 5

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