Conversational AI and Dialogue Systems

Conversational AI systems-such as voice assistants and chatbots- are now being increasingly used in various domains such as online customer support, HR processes, healthcare, accessible environments, teaching and learning etc. However, there exists several research challenges in the development of such systems. These include aspects associated with language input-such as dialects, accents, and background noises; slang and unscripted language; emotions, tone, and sarcasm etc. There are also issues of user apprehensions, privacy and security, socio-economic impact and unavailability of such systems in low-resource languages. This special issue welcomes submissions on recent advancements in and around these themes in Conversational and Dialog systems.

Guest editors:

Prof. Vivek Kumar Singh (Executive Guest Editor)
Banaras Hindu University, Varanasi, India
Email: vivek@bhu.ac.in

Prof. David Pinto
Benemerita Universidad Autonoma de Puebla, Puebla, Mexico
Email: david.pinto@correo.buap.mx

Dr. Asif Ekbal
Indian Institute of Technology, Patna, India
Email: asif@iitp.ac.in

Manuscript submission information:

Tentative Dates:

Submission Open Date: 1 July 2023
Final Manuscript Submission Deadline: 31 December 2023
Editorial Acceptance Deadline: 15 April 2024

Contributed full papers must be submitted via Computer Speech & Language online submission system (Editorial Manager®): https://www.editorialmanager.com/ycsla/default2.aspx. Please select the article type “VSI: Conversational AI” when submitting the manuscript online.

Please refer to the Guide for Authors to prepare your manuscript: https://www.elsevier.com/journals/computer-speech-and-language/0885-2308/guide-for-authors

For any further information, the authors may contact the Guest Editors.

Keywords:

Context-aware conversational models,
Privacy and Ethics in conversational systems,
Dialogue systems in low-resource setting,
Datasets for conversational AI,
Dialogue intent detection and modelling,
Natural Language Generation,
Personalization in dialogue system,
Knowledge-aware conversational systems,
Multi-modal conversational AI,
Emotion and sentiment recognition in conversation