(apologies for cross-posting)
We are delighted to announce the Special Issue on Embodied Conversational
Systems for HRI in the Dialogue & Discourse journal.
Special Issue Title: Embodied Conversational Systems for Human-Robot
Info Link: https://www.carlstrathearn.co.uk/d-d-special-edition
Submission Link: http://www.dialogue-and-discourse.org/index.shtml
Conversational systems such as chatbots and virtual assistants have become
increasingly popular in recent years. This technology has the potential to
enhance Human-Robot Interaction (HRI) and improve the user experience.
However, there are significant challenges in designing and implementing
effective conversational systems for HRI that need to be addressed (cf.
Devillers et al. 2020; Lison & Kennington 2023). This special issue aims to
bring together researchers and practitioners to explore the opportunities
and challenges in developing conversational systems for human-robot
Conversational systems are an important component of human-robot
interaction because they enable more natural and intuitive communication
between humans and robots. By leveraging research in areas such as dialogue
systems, natural language understanding, natural language generation and
multi-modal interaction, robots can become more accessible, usable, and
engaging. Conversational systems can enable robots to better understand and
respond to human emotions and social cues. By analysing speech patterns,
facial expressions, and other nonverbal cues, conversational systems can
help robots to better understand human emotions and tailor their responses
accordingly. This can help to create more engaging and satisfying
interactions between humans and robots, which is important for applications
such as healthcare, education, and entertainment. Conversational systems
can also help to personalise interactions between humans and robots, by
adapting to the individual needs, preferences, and characteristics of each
user, and creating more tailored interactions that are more likely to
achieve meaningful interactions. This can be particularly important in
applications such as personalised tutoring, and coaching, where the
effectiveness of the interaction depends on the ability of the system to
adapt to the individual needs of each user. Conversational systems offer a
way to achieve this by enabling natural language interaction, which is a
more intuitive and familiar way for humans to communicate.
Human-Robot Interaction is a complex and multidisciplinary field that
requires expertise from multiple domains, including robotics, artificial
intelligence, psychology, and human factors. Conversational systems bring
together many of these domains and represent a challenging and rewarding
area of research that can help advance the state of the art in HRI.
Conversational systems for HRI have the potential to transform many areas
of society, including healthcare, education and entertainment.
Conversational systems can make robots more engaging, usable, and effective
in these domains, leading to improved outcomes and quality of life for
individuals and society as a whole.
The aim of this special issue is to bring together novel research work in
the area of dialogue systems that are designed to enhance/support
Human-Robot Interaction (HRI). In the active research area of HRI, the
primary goal is to develop robotic agents that exhibit socially intelligent
behaviour when interacting with human partners. Despite the clear
relationship between social intelligence and fluent, flexible linguistic
interaction, in practice interactive robots have only recently begun to use
anything beyond a simple dialogue manager and template-based response
generation process. This means that robot systems cannot take advantage of
the flexibility offered by dialogue systems and NLG when managing
conversations between humans and robots in dynamic environments, or when
the conversation needs to be adapted in different contexts or multiple
This special issue aims to provide a forum for researchers and
practitioners to share their latest research results, exchange ideas, and
discuss the opportunities and challenges in developing conversational
systems for human-robot interaction. We hope that this special issue will
help to advance the state of the art in the field and inspire further
research and development in this exciting area.
Topics of interest:
We invite papers presenting original work, as well as survey papers or
substantial opinion papers. All submissions will be peer-reviewed according
to the journal's standard guidelines. Manuscripts should be submitted
online via the journal's website, referencing the title of the special
issue and following the journal's formatting guidelines.
Deadline: 1 October 2023
Reviewing period: 15 September–15 December 2023
First Decisions: 30 January 2024
Resubmissions: 1 March 2024
Final decisions: 15 April 2024
Camera-ready: 15 May 2024
Dimitra Gkatzia, Edinburgh Napier University, UK – firstname.lastname@example.org
Carl Strathearn, Edinburgh Napier University, UK – email@example.com
Mary-Ellen Foster, University of Glasgow, UK –
Hendrik Buschmeier, Bielefeld University, Germany –
Laurence Devillers, Tatsuya Kawahara, Roger K. Moore, and Matthias Scheutz
(2020). Spoken Language Interaction with Virtual Agents and Robots
(SLIVAR): Towards Effective and Ethical Interaction (Dagstuhl Seminar
20021). In Dagstuhl Reports, Volume 10, Issue 1, pp. 1-51, Schloss Dagstuhl
– Leibniz-Zentrum für Informatik.
Pierre Lison & Casey Kennington(2023). Who’s in Charge? Roles and
Responsibilities of Decision-Making Components in Conversational Robots.
In: HRI 2023 Workshop on Human-Robot Conversational Interaction.
Kristiina Jokinen. 2022. Conversational Agents and Robot Interaction. In
HCI International 2022 - Late Breaking Papers. Multimodality in Advanced
Interaction Environments: 24th International Conference on Human-Computer
Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings.
Springer-Verlag, Berlin, Heidelberg, 280–292.
Mary Ellen Foster. 2019. Natural language generation for social robotics:
opportunities and challenges. Philosophical Transactions of the Royal
Society B, 2019
Dimosthenis Kontogiorgos, Andre Pereira, Boran Sahindal, Sanne van Waveren,
Joakim Gustafson. 2020. Behavioural Responses to Robot Conversational
Failures. In Proceedings of the 2020 ACM/IEEE International Conference on
Human-Robot Interaction (HRI ’20), March 23–26, 2020, Cambridge, United
Kingdom. ACM, New York, NY, USA, 10 pages.
Gabriel Skantze, Turn-taking in Conversational Systems and Human-Robot
Interaction: A Review, Computer Speech & Language, Volume 67, 2021, 101178