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

Service provision is always a key factor to ensure the success of 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 in order 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 bothacademia 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 explorefuture research directions, and to prompt better service provision in specific domains for a widertarget audience from diverse fields. Original and research articles are solicited in all aspects,including theoretical studies, practical applications, new social technology and experimentalprototypes.

• Theoretical schemes, models, and frameworks fornext-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 for next-generation web
• Big data analytics for human-driven/AI-enhanced web
• Human-driven/AI-enhancedwebservices and systems
• Smart, personalized and individualized services
• Machine learning and statistical methods in next-generation web
• Blockchain techniquesinnext-generation web
• High Performance Computing that prompts next-generation web
• ICT-enabled next-generation weband personal living support
• Privacy and security issues in human-driven/AI-enhanced web
• Evaluation and optimization for theweb
• Social and humanistic aspects of human-driven/AI-enhanced web
• Practices, surveys, and case studies that explore research directions in prompting next generationweb services and systems

Submission Guidelines

Each paper for submission shall strictly follow the instructions given in the “Guide for Authors” athttp://www.comsis.org/information.php. Note that published papers and those currently under review by other journals or conferences will not be considered. Each paper will be reviewed rigorously, and mostly in two rounds, i.e., minor/major revisions will undergo another round of review.

Prospective authors are invited first to contact leading guest editor (Dr. Neil Y. Yen, Email: neilyyen@u-aizu.ac.jp) before submit their papers, for explanation of submission procedure. Papers will be first sent via e-mail to Leading GE to be assessed in preliminary phase and if they pass it Leading GE will give further instructions for submission.

Papers that passed preliminary assessment will be submitted to the journal submission site at https://ojs.pmf.uns.ac.rs/index.php/comsis.

Important Dates

March 31, 2020: Submission deadline
May 31, 2020: 1st round review notification
June 30, 2020: 1st revision due
July 31, 2020: 2nd round review notification
August 31, 2020: 2nd revision due
September 30, 2020: Final decision made by EiC
4th quarter, 2020: Publication

Guest Editors

Dr. Neil Y. Yen (Leading GE)
University of Aizu, Japan

Hwa-Young (Michael) Jeong
Kyung Hee University, Korea

Dr. KuroshMadani
University PARIS-EST Creteil (UPEC), France

Francisco Isidro Massetto
Universidade Federal do ABC, Brazil