Computational Intelligence and Human–Computer Interaction: Modern Methods and Applications, 2nd Edition

Dear Colleagues,

Computational intelligence (CI) is an evolving field that involves various nature-inspired computational paradigms and methodologies developed to solve complex real-world problems, including neural networks, fuzzy systems, evolutionary computation, learning theory, probabilistic methods, etc. CI plays a very important role in both theoretical research and practical applications.

As our lives become increasingly intelligent and digitalized, the use of different devices across a wide age spectrum is ever more prevalent. Human–computer interaction (HCI) is an interdisciplinary field at the intersection of mathematical logic, computer science, engineering, design, and human factors, among others. Human–computer interaction plays an important role in many fields, including mobile and ubiquitous computing, social media and collaborative technologies, etc. It focuses on subjects such as:

• Adapting human–computer interaction such that it is intuitive and friendly for different categories of people, considering user preferences and empathic interaction.
• Integrating the progress from computational intelligence into the HCI domain and tailoring user experiences.
• Assessing the subjective satisfaction of users to obtain relevant information on user experience.
• Identifying users’ emotions during the interaction and establishing relations with the interaction context to provide insights into design flaws and possible improvements.
• Improving young children’s interaction with technology by supporting the authentication process, emotion identification, and interaction adaptation based on the identified emotions.
• Providing recommendations on designing smart learning environments that would support remote learning (e.g., the COVID-19 pandemic revealed multiple drawbacks in the existing solutions) .

In this context, this Special Issue focuses on current advances in computational intelligence supporting the interaction between humans and computers as well as the design and assessment of adapted HCI. We welcome submissions considering new algorithms, paradigms, technologies, methodologies, and approaches applied to analyzing human characteristics and modeling interactions between human and computers, including voice and speech processing, face and expression recognition, medical image reconstruction, gesture and motion recognition, affective computing, computer-aided detection and diagnosis, computer-supported learning, brain–computer interface, adaptive systems, etc.

This Special Issue provides a platform for researchers from both academia and industry to present their novel and unpublished work in the domains of computational intelligence and human–computer interaction. This will help to foster future research in the emerging field of human–computer interaction and related fields.

Dr. Grigoreta-Sofia Cojocar
Dr. Adriana-Mihaela Guran
Dr. Laura-Silvia Dioşan
Guest Editors

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