A Survey on Dialogue Management in Human-robot Interaction

Dados Bibliográficos

ID8106499
AutoresMerle M Reimann (0000-0003-3076-5402, Vrije Universiteit Amsterdam, Amsterdam, Netherlands, autor correspondente), Florian Kunneman (0000-0002-1932-3200, Utrecht University, Amsterdam, Netherlands), Catharine Oertel (0000-0002-8273-0132, Delft University of Technology, Delft, Netherlands), Koen V Hindriks (0000-0002-5707-5236, Vrije Universiteit Amsterdam, Amsterdam, Netherlands)
Ano2024
Volume13
Fascículo2
Páginas1-22
Data de publicação2024-03-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoACM Transactions on Human-Robot Interaction (JOURNAL)
Identificadores do periódicoISSN: 2573-9522 • E-ISSN: 2573-9522
EditoraAssociation for Computing Machinery (PUBLISHER • US)
DOI10.1145/3648605
OpenAlexW4392386515
IdiomaEN
Citações recebidas1
Referências citadas92

As social robots see increasing deployment within the general public, improving the interaction with those robots is essential. Spoken language offers an intuitive interface for the human–robot interaction (HRI), with dialogue management (DM) being a key component in those interactive systems. Yet, to overcome current challenges and manage smooth, informative, and engaging interaction, a more structural approach to combining HRI and DM is needed. In this systematic review, we analyze the current use of DM in HRI and focus on the type of dialogue manager used, its capabilities, evaluation methods, and the challenges specific to DM in HRI. We identify the challenges and current scientific frontier related to the DM approach, interaction domain, robot appearance, physical situatedness, and multimodality

Business · Human–computer interaction · Human–robot interaction · Knowledge management · Robot · AI in Service Interactions · Computer Science · Social Robot Interaction and HRI · Speech and dialogue systems · Artificial Intelligence