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Cited by 4Speech and dialogue systemsSocial Robot Interaction and HRINatural Language Processing Techniques

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Prior Lessons of Incremental Dialogue and Robot Action Management for the Age of Language Models

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Kennington, Casey, Lison, Pierre, Schlangen, David·2025·Dialogue & Discourse
DOI 10.5210/dad.2025.305
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Abstract

Efforts towards endowing robots with the ability to speak have benefited from recent advancements in natural language processing, in particular large language models. However, current language models are not fully incremental, as their processing is inherently monotonic and thus lack the ability to revise their interpretations or output in light of newer observations. This monotonicity has important implications for the development of dialogue systems for human–robot interaction. In this paper, we review the literature on interactive systems that operate incrementally (i.e., at the word level or below it). We motivate the need for incremental systems, survey incremental modeling of important aspects of dialogue like speech recognition and language generation. Primary focus is on the part of the system that makes decisions, known as the dialogue manager. We find that there is very little research on incremental dialogue management, offer some requirements for practical incremental dialogue management, and implications of incremental dialogue for embodied, robotic platforms in the age of large language models.

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Metadata

Authors
Kennington, C., Lison, P., & Schlangen, D.
Affiliations
  • Boise State University (US)
  • Norwegian Computing Center (NO)
  • University of Potsdam (DE)
ORCID
Venue
Dialogue & Discourse
Publisher
University of Illinois Libraries
Published
2025-12-15
Volume
16
Issue
3
Pages
96-130
ISSN
2152-9620 (ISSN-L)
DOI
10.5210/dad.2025.305
OpenAlex
W4417356858
Cited by
4
References
0
Citations by year
2026: 4
FWCI
1.62
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Dialogue & Discourse (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • arXiv (Cornell University) (cc-by)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
dialogue manager, large language models, human-robot interaction, robot speech, incremental modeling, speech recognition, language generation, embodied robots, monotonicity

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