[CogSci] CfP: ACM TIIS Special Issue on Conversational Agents for Healthcare and Well-being
Leigh Clark
l.m.h.clark at swansea.ac.uk
Mon Aug 24 04:10:19 PDT 2020
*Special Issue on Conversational Agents for Healthcare and Well-being *
https://dl.acm.org/journal/tiis/calls-for-papers
*Guest Editors*
A. Baki Kocaballi, University of Technology Sydney,
Australia,baki.kocaballi at uts.edu.au <mailto:baki.kocaballi at uts.edu.au>
Liliana Laranjo, University of Sydney, Australia
Leigh Clark, Swansea University, Wales
Rafał Kocielnik, Washington University, USA
Robert J. Moore, IBM Research, USA
Q. Vera Liao, IBM Research AI, USA
Timothy Bickmore, Northeastern University, USA
Conversational agents (CAs) are systems that engage human users in
one-to-one conversation through a natural language interface. Such
systems may differ in terms of their conversational capabilities,
ranging from simple question- answering to multi-turn dialogues, as well
as in their interaction modalities, ranging from text- or voice-only to
multimodal interaction. Technical advances in speech recognition,
natural language processing, and machine learning have led to increasing
adoption and use of CAs. While CAs are widely used in many applications,
such as education and workplace productivity, one of their important
applications is healthcare. In various healthcare settings, CAs play
important roles, including assisting clinicians during consultations,
supporting consumers in changing health behaviors, and assisting
patients such as elderly individuals in their living environments.
Despite the increasing adoption and the benefits of using CAs to support
healthcare and well-being, recent research has shown that: i) patient
safety was rarely evaluated, ii) healthcare outcomes were poorly
measured, and iii) no standardized evaluation methods were employed. In
addition to addressing these challenges, this special issue will feature
innovative conversational agents that aim at improving healthcare
services and outcomes.
*Scope*
This special issue invites submissions that feature original research on
designing, developing and evaluating CAs for healthcare and well-being.
These CAs aim at improving healthcare outcomes and services, and satisfy
unique application needs (e.g., safety, trust, and user experience). A
suitable submission must also demonstrate its relevance to TiiS, the
premier journal featuring interactive intelligent systems with two
distinct characteristics: intelligence and interactivity. In particular,
a suitable submission must exhibit or discuss how the resulting
approaches, techniques, or systems advance an interactive intelligent
system. Interdisciplinary and applied research is especially encouraged.
Specific areas of interest include, but are not limited to:
- Studies on CAs for healthcare and well-being in clinical and/or
community settings, supporting patient empowerment, safety, or autonomy
through CAs
- Innovative methods, technologies, and systems addressing risk, bias,
privacy and trust issues associated with the design and use of
healthcare CAs
- Innovative artificial intelligence (AI) and machine learning (ML)
technologies and methods in areas such as dialog management, speech
summarization or error recovery for healthcare CAs
- Novel applications of user experience (UX) design and evaluation
methods for healthcare CAs
*Important Dates*
Full paper submission deadline: January 15th, 2021
First author notification: March 15th, 2021
Revised paper due: April 30th, 2021
Final author notification: June 15th, 2021
Expected publication: Fall 2021
Refer tohttp://tiis.acm.org/authors.cfmfor author information and
submission details.
For questions and further information, please
contactbaki.kocaballi at uts.edu.au <mailto:baki.kocaballi at uts.edu.au>
--
Dr Leigh Clark
Lecturer in Computer Science
Computational Foundry, Swansea University, United Kingdom
https://lmhclark.com
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