Computers in Human Behavior is a scholarly journal dedicated to examining the use of computers from a psychological perspective. Original theoretical works, research reports, literature reviews, software reviews, book reviews and announcements are published. The journal addresses both the use of computers in psychology, psychiatry and related disciplines as well as the psychological impact of computer use on individuals, groups and society. The former category includes articles exploring the use of computers for professional practice, training, research and theory development. The latter category includes articles dealing with the psychological effects of computers on phenomena such as human development, learning, cognition, personality, and social interactions. The journal addresses human interactions with computers, not computers per se. The computer is discussed only as a medium through which human behaviors are shaped and expressed. The primary message of most articles involves information about human behavior. Therefore, professionals with an interest in the psychological aspects of computer use, but with limited knowledge of computers, will find this journal of interest.

Special Issue on Generative Artificial Intelligence in Social Interaction and Internet of Behavior
Submission Date: 2024-10-31

The rapid breakthroughs in information technologies have driven substantial developments in Artificial Intelligence (AI) applications, particularly the widespread use of deep learning techniques in domains such as speech, image and text recognition. Generative AI is an important subset of AI and one of the most rapidly expanding areas in recent years. Generative AI utilizes machine learning and deep learning techniques to generate original data. At the heart of generative AI lies the generative model, which is responsible for modeling the possible distribution of data and generating fresh data that closely resembles the original data’s distribution.

Guest editors:

Dr. Mu-Yen Chen
National Cheng Kung University, Taiwan
E-mail: mychen119@gs.ncku.edu.tw

Dr. Miltiadis D. Lytras
Department of Management Information Systems
American College of Greece, Athens, Greece
Email: miltiadis.lytras@gmail.com

Dr. Patrick C. K. Hung
Faculty of Business and IT
Ontario Tech University, Canada
Email: Patrick.Hung@ontariotechu.ca

Special issue information:

With the maturation of AI of Things, many countries have promoted the smart city concept to improve citizens’ quality of life, encouraging many technology developments on the Internet of Behavior (IoB) that utilize the Internet of Things (IoT) to analyze behavioral patterns. IoB is at its initial stage, which requires combinations of diverse techniques, such as IoT, big data, and AI. With the development of large-scale sensors and data collection, it is predictable that more and more IoB applications and frameworks will be proposed. IoB needs scholars to be involved in in-depth research and present more effective frameworks, enabling IoB to achieve real-time behavioral analysis. Given IoB's significance and diverse applications, it is a highly worthwhile and promising research topic.

Social interaction is defined as an exchange between two or more individuals and is a building block of society. By interacting with one another, people design rules, institutions and systems within which they seek to live. Considering the social interaction residing in the IoB and big data content, opportunities are emerging to enable promising smart applications for easing individual or group peers' needs, creating company business models, and facilitating smart life development. However, the nature of Generative AI also poses fundamental challenges to the techniques and applications relying on the social big data from multiple perspectives, such as algorithm effectiveness, computation speed, energy efficiency, user privacy, user trust, server security, data heterogeneity and system scalability.

Generative AI has a broad range of applications, including but not limited to creating images, processing natural language, and generating music. This special issue aims to bring together social interaction research and development achievements in exploring techniques, applications, and challenges that apply Generative AI for IoB, such as smart homes/buildings, smart cities, smart environments, intelligent healthcare, and the Internet of Vehicles (IoV). Both theoretical and experimental studies related to designing, analyzing, and implementing Generative AI for IoB and social interaction are encouraged. We hope to explore IoB applications and research in more areas of study and see how IoB models can take a vast amount of available data and help us uncover undiscovered phenomena, retrieve useful knowledge, and draw conclusions and reasoning. Topics of interest include, but are not limited to:

Topics

Methodologies and Techniques

    Adaptive machine learning and soft computing algorithms for Generative AI
    Evolutionary and soft computing-based tuning and optimization of Generative AI
    Robust data augmentation methods for Generative AI
    Metaheuristics aspects and soft computing algorithms in deep learning for improved convergence of Generative AI
    Faster reinforcement learning and transfer learning methods for Generative AI

Human Behavior

    Human behavior and user interfaces for human-centered Generative AI
    Human participation and social sensing for human-centered Generative AI
    The applications of personality and social psychology for Generative AI
    Artificial intelligence and mental processes in human-centered Generative AI
    Trust, security, and privacy issues for human-centered Generative AI

Applications

    AI and Deep Learning applications with Generative AI for the IoB and Social Interaction
    Context-aware services and Social Interaction for IoB with Generative AI
    Speech processing applications with Generative AI for the IoB
    Image processing and Video applications with Generative AI for the IoB
    Sustainability and Environmental, Social, and Governance (ESG) with Generative AI Impact

Manuscript submission information:

Authors are invited to submit research contributions representing original, previously unpublished work by 31st Oct 2024. Submitted papers will be carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Authors should prepare their manuscript according to the Guide for Authors at https://www.journals.elsevier.com/computers-in-human-behavior. To ensure the manuscript is correctly identified for inclusion in the special issue, authors must select "VSI: GAI in Social Interaction and IoB" when they reach the “Article Type” step in the submission process.