Emerging Trends and Challenges of Machine Learning in Human-Computer Interaction (VSI-hci)

  in Special Issue   Posted on June 10, 2020

Information for the Special Issue

Submission Deadline: Wed 15 Jul 2020
Journal Impact Factor : 1.570
Journal Name : Computers & Electrical Engineering
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/computers-and-electrical-engineering/call-for-papers/emerging-trends-and-challenges-of-machine-learning
Journal & Submission Website: https://www.journals.elsevier.com/computers-and-electrical-engineering

Special Issue Call for Papers:

Overview

With the development of machine learning and big data, human-computer interaction (HCI) has undergone significant changes and has entered the era of intelligent interactions. Artificial intelligence applications, e.g., speech recognition, gesture recognition, semantic understanding, big data analysis, and machine learning, enable computers to better perceive human intentions and user states, thereby improving the HCI experience. The development of artificial intelligence is constantly innovating HCI, driving its progress from traditional methods to more intelligent and natural methods.

At present, HCI methods, which are mainly dominated by graphical user interfaces, still face the limitations of slow processing speeds, low accuracy, and inadequate capture of emotions. To address the challenges in these interactions, it is necessary to make breakthroughs in context perception, intent understanding, speech, vision, etc. Deep learning can discover valuable association rules through big data analytics to learn the human cognitive process, and build innovative complex models that can make efficient and accurate judgments and predictions, thereby making human–computer interactions quicker and more natural. Therefore, there is a significant demand for theoretical, empirical, systems, and design research on evolutionary-computation and artificial-intelligence techniques. This special section is intended to bridge machine learning and HCI, and attempt to assemble recent advances using machine learning in HCI.

Topics:

Suggested topics include:

  • Modeling and predicting diverse personality traits
  • Signal processing and pattern recognition in HCI
  • Computational paradigms and system architectures for smart HCI
  • Human–data interactions and interactive machine learning
  • Human-in-the-loop machine learning
  • Deep learning techniques for HCI

Submission Guidelines:

Unpublished manuscripts, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are completely re-written or substantially extended (more than 50%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special section.

Before submission, authors should carefully read the Guide for Authors available at https://www.journals.elsevier.com/computers-and-electrical-engineering.

Authors should submit their papers through the Journal’s web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by selecting “VSI-hci” from the “Issues” pull-down menu during the submission process. For additional questions, please contact the Managing Guest Editor.

Schedule:

Submission of manuscript: July 15, 2020

First notification: Oct. 29, 2020

Submission of revised manuscript: Nov. 29, 2020

Notification of the re-review: Dec. 29, 2021

Final notification: Jan. 10, 2021

Final paper due: Feb. 31, 2021

Publication: June 2021

Guest Editors:

Shengzong Zhou (Main Guest Editor)

Chinese Academy of Sciences (aiam@iaast.cn)

He is a Professor at Chinese Academy of Sciences and General Chair of Federation of Chinese Professional Associations in Europe. He received his B.Sc. degree in Peking University, China, the M.Sc. degree in Computer Institute under China Academy of Science, and the PhD degree in University of Saarland, Germany. He is mainly engaged in the research of computer software and theory, software engineering and computer application technology, especially advanced technologies in the fields of software development methods, information systems, 3D printing software, virtual manufacturing, virtual reality, etc. Dr. Shengzong Zhou is the author of more than 100 papers in international journals, and conferences, and has achieved 15 invention patents. He has served as a reviewer in many international academic journals and Guest Editor of International Journal of Computer Integrated Manufacturing. Since 2001, he has been the executive chairman of Federation of Chinese Professional Associations in Europe (FCPAE) and chairman of Computer Society of Chinese Scholars in Germany. Since 2003, he has been serving as an oversea expert of China Association for Science and Technology, and participated in the seventh and eighth National Congress of China Association for Science and Technology as an overseas guest.

Cheng Siong Chin

Newcastle University (cheng.chin@ncl.ac.uk)

He is currently a Reader (Associate Professor) with Newcastle University and Adjunct Full Professor to Chongqing University, School of Automotive Engineering. He received the B.Eng. degree in Mechanical and Production Engineering from Nanyang Technological University (NTU) in 2000, the M.Sc. degree in Advanced Control and Systems Engineering from The University of Manchester (formerly called UMIST) in 2001, and the PhD degree in Research Robotics Centre, NTU in 2008. He has achieved over 100 publications, 3 books and 3 US Patents. His research interests include the design and simulation of complex systems for an uncertain environment. He is a Fellow of the Higher-Education Academy, Fellow of IMarEST, Senior Member of IEEE and the IET, and a Chartered Engineer. In 2018, he was invited as Plenary Speaker and Chief Guest for IEEE International Conference on Power, Energy control and Transmission Systems in India. He served as a Lead Guest Editor for the Journal of Advanced Transportation (Special Issue on Intelligent Autonomous Transport Systems Design and Simulation) and organizer for Special Session on Smart and Intelligent Controller Based Grid Integration of Renewable Energy System in IEEE TENCON 2019. He also involved as the general chair and the technical review committee member in various international conferences (ICRAI 2019 in NTU) related to intelligent systems. He was the Panel Member for Senior Member of IEEE Application in Region 10 in 2014 and 2017. He received the Best Paper Award for Virtual Reality of Autonomous Marine Vehicle in 10th International Conference on Modelling, Identification, and Control sponsored by IEEE in 2018 and the Best Application Paper on Dynamic Positioning for Vessel in 11th International Conference on Modelling, Identification, and Control, 2019. He also received DCASE2019 Judges’ Award (most innovative and original) for Sound Event Detection in Domestic Environments in IEEE AASP Challenge on DCASE2019 with his PhD student. He is the Associate Editor of IEEE Earthzine (marine power and battery systems) and Electronics (systems and control engineering), MDPI.

Dragan Pamucar

University of Defence in Belgrade (dragan.pamucar@va.mod.gov.rs)

He is an Associate Professor at University of Defence in Belgrade, Department of Logistics, Serbia. His research interest are in the field of Computational Intelligence, multi-criteria decision making problems, neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory. Application areas include wide range of logistics problems. He has published more than 100 articles on international journals including Experts Systems with Applications, Applied Soft Computing, Soft Computing, Computational intelligence, Computers and industrial engineering, Sustainability, Symmetry, Asia-Pacific Journal of Operational Research, Operational Research, Journal of Intelligent and Fuzzy Systems, Annals of Operations Research and so on. He served as the Guest Editor of Journal of Intelligent and Fuzzy Systems, IEEE Transactions on Fuzzy Systems, Mathematics, Symmetry, etc. Dr. Pamucar was awarded top and outstanding reviewer for numerous journals like Sustainable Production and Consumption, Measurement, Expert Systems with Applications, International Journal of Hydrogen Energy and so on. His research interest are in the field of Computational Intelligence, Multi-criteria decision making problems, Neuro-fuzzy systems, fuzzy, rough and intuitionistic fuzzy set theory, neutrosophic theory. Application areas include wide range of logistics, management and engineering problems. He has also successfully conducted various national and foreign projects. Dr. Pamucar is currently serving as the associate editor, area editor, editorial board member, or peer reviewer of dozens of international journals. He has also acted as the chairs, board members of program committees or organizing committees in various conferences or academic organizations at home and abroad.

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