Emerging Services in the Next-Generation Web: Human Meets Artificial Intelligence

in Special Issue   Posted on August 3, 2020 

Information for the Special Issue

Submission Deadline: Sun 01 Nov 2020
Journal Impact Factor : 2.816
Journal Name : Computer Communications
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/computer-communications/call-for-papers/human-meets-artificial-intelligence
Journal & Submission Website: https://www.journals.elsevier.com/computer-communications

Special Issue Call for Papers:

Service provision via networked computer-communication infrastructure is always a key factor to ensure the success of the Web development. In the past, developers, and researchers as well, often provide services by predicting what, and how, target users would be expecting. Empirical study, e.g., questionnaire, field study, etc., of course, is conducted to achieve the purpose. But however, reaction time of services on the Web to be updated is way less than expectations from users (i.e., human beings). This issue can be formulated as the more we can understand the human, the more precise services we can provide to our users. Prediction, and/or anticipation, of human beings through the support of artificial intelligence techniques thus becomes an emerging topic to better develop the next-generation Web. What is the difference between prediction and anticipation in Technosocial systems? Is there a common anticipatory feature in biological structures, cultural structures, and technological ones? Humans remain, either individually or collectively, very poorly skilled when it comes to foresee the outcomes of their actions and take inspired decisions. The practice of prediction has made effective progress in the last decades in certain disciplines and thanks to intelligent systems, but mostly as a mechanistic and probabilistic protocol, based on reactive causation and often keeping the human factor out of the loop because of its complexity. Anticipatory system is an implementation to compensate disadvantage of the system with the factors from human. In a view of computing and engineering, anticipatory system is the one that can effectively make the forecasting, where the outcome of the forecasting affects the forecaster, and the one whose current states can be influenced by the future states. Effectual anticipation is a desired model of the future that acts in the present, a way of acting which does not obey the instinct of immediate gratification but uses final causation and deeper aspirations. It is a sensibility for destiny ramifications, the capacity to imagine and project into the future the consequences of our intentions.

This special issue aims at bringing together researchers, engineers, and practitioners from both academia and industry to report, review, and exchange up-to-the-date progress of proper use of artificial intelligence related techniques in the development of well-beings in the Web as well as human society, to explore future research directions, and to prompt better service provision in specific domains for a wider target audience from diverse fields. Original and research articles are solicited in all aspects, including theoretical studies, practical applications, new social technology and experimental prototypes.

  • Theoretical models, architecture, protocols and frameworks for the next-generation Web
  • Interdisciplinary, multidisciplinary or transdisciplinary approaches to develop next-generation Web
  • Promising paradigms for next-generation Web
  • Human-driven/AI-enhanced Web based on personal and ubiquitous computing
  • Human-centric design and implementation techniques for next-generation Web
  • Big data analytics for human-driven/AI-enhanced Web
  • Human-driven/AI-enhanced Web services and systems
  • Smart, personalized and individualized services
  • Machine learning and statistical methods in next-generation Web
  • Blockchain techniques in next-generation Web
  • High Performance Computing that prompts next-generation Web
  • ICT-enabled next-generation Web and personal living support
  • 5G network, and mobile technology innovation
  • Internet of Things-driven techniques/theories for the next-generation Web
  • Privacy and security issues in human-driven/AI-enhanced Web
  • Evaluation and optimization for the future Web
  • Social and humanistic aspects of human-driven/AI-enhanced Web
  • Practices, surveys, and case studies that explore research directions in prompting next generation Web services and systems


Submission Guidelines

Each paper for submission shall strictly follow the instructions given in the “Guide for Authors” at https://www.elsevier.com/journals/computer-communications/0140-3664/guide-for-authors. Note that published papers and those currently under review by other journals or conferences are prohibited. Each paper will be reviewed rigorously by three or more domain experts depending on the decision of assigned associate editor, and possibly in two rounds, i.e., minor/major revisions will undergo another round of review. Prospective authors are invited to submit their papers directly via the online submission system at https://www.evise.com/profile/#/COMCOM/login.


Important Dates

Submission deadline: November 1, 2020

1st round review notification: December 15, 2020

1st revision due: January 15, 2021

2nd round review notification: February 15, 2021

2nd revision due: February 28, 2021

Final decision made by EiC: March 28, 2021

Publication: Q4 2021, Q1 2022


Guest Editors

  • Dr. Neil Yuwen Yen

          University of Aizu, Japan

          Email: [email protected]

  • Dr. Hwa-Young (Michael) Jeong

          Kyung Hee University, Korea

          Email: [email protected]

  • Dr. Carlos Huang

          Huazhong University of Science and Technology, China

          Email: [email protected]

  • Dr. Jun Ye

          Hainan University, China

          Email: yeju[email protected]

  • Dr. Kurosh Madani

          University PARIS-EST Creteil (UPEC), France

          Email: [email protected]

For enquiries, please contact [email protected]

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