Personal and Ubiquitous Computing
Mario Andrés Paredes-Valverde Instituto Tecnológico de Orizaba, Mexico Giner Alor-Hernández Instituto Tecnológico de Orizaba, Mexico Rafael Valencia-García Universidad de Murcia, Spain Paolo Bellavista Università di Bologna
As part of the growth of ubiquitous computing we have seen the application of ubiquitous computing in healthcare with the aim of improving a patient’s health and quality of life.
Ubiquitous healthcare describes a seamless blend of technologies including cloud computing, mobile devices, embedded systems, software agents, plus environment and patient sensors and actuators.
Interacting with ubiquitous healthcare systems should be both enjoyable and intuitive for patients and there are significant human computer interaction (HCI) issues that need to be considered in developing effective, robust, unobtrusive and friendly user interfaces to ubiquitous healthcare systems.
One way to achieve this is through natural language interfaces and natural language processing (NLP) has received significant attention in areas such as personal assistants, intelligent tutors, question answering, search and information retrieval, sentiment analysis, recommender systems.
Relevant research in these areas has been published in many international forums including PervasiveHealth, Per-Health, the IEEE International Conference on E-health Networking, Application & Services, the ACM International Joint Conference on Pervasive and Ubiquitous Computing and many others. However, the full extent of the synergies between ubiquitous healthcare and NLP is yet to be realized and this theme issue aims to collect and consolidate innovative and high-quality research in NLP in ubiquitous healthcare.
This issue invites original scientific contributions in the form of theoretical foundations, experimental research, surveys, case studies, NLP-based techniques and ubiquitous healthcare systems.
The list of topics in scope for this issue includes, but is not limited to: Context-aware healthcare systems Development of interactive systems for emergency response Development of human-to-machine natural language instructions to ubiquitous healthcare systems Health and medical knowledge graphs Health information retrieval and extraction using NLP Pervasive networks and ubiquitous computing for wellness monitoring Data mining on clinical or social web data Machine learning on clinical or social web data Tools for clinical data interpretation and visualization Clinical decision support systems Speech-based, text-based, and multimodal interaction for healthcare applications Question answering technologies for healthcare applications Conversational agents for healthcare NLP techniques for personalization of healthcare Innovative NLP methods for capturing patient’s emotions from text NLP techniques for personalization of healthcare Natural Language Processing supporting interoperability in ubiquitous healthcare Social networks analytics for healthcare monitoring Ontological representations for ubiquitous healthcare Trends and challenges in NLP for ubiquitous healthcare
Submissions should be original papers and should not be under consideration for publication elsewhere.
Extended versions of papers from relevant conferences and workshops are invited as long as the additional contribution is substantial (at least 30% new content).
Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at . For more information visit the Springer Nature Information for journal Article Authors pages at
During the first submission step in Editorial Manager select Original article as the article type. In further steps, you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.
All papers will be peer-reviewed.
Submission deadline: July 2020
Notification of review: September 2020
Revision due: October 2020
Notification of Final Acceptance: December 2020
Expected Publication of the Special Issue: 2021