Research and Application of Neural Networks in Human-Computer Interaction
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (15 February 2026) | Viewed by 2019
Special Issue Editors
Interests: neural networks; emotion recognition; machine learning; neuroinformatics
Interests: tangible programming; tangible user interfaces; educational robotics; human–computer interaction
Special Issues, Collections and Topics in MDPI journals
Interests: human–computer interaction; augmented reality in education
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The multidisciplinary field of human–computer interaction (HCI) has witnessed great advancements towards intelligent, intuitive, and personalized interactive computing systems that are based on machine learning tools powered by artificial neural networks (ANNs) and deep learning architectures. The shape of tomorrow’s computing systems is being built upon intelligent platforms that provide human-like expression, communication, and interaction abilities, bridging the man–machine gap with novel systems and products. Employing deep learning and various types of ANN models, future computing systems are already here, providing intuitive and natural interfaces with adaptive characteristics.
This Special Issue, “Research and Application of Neural Networks in Human-Computer Interaction”, aims to promote the discussion in this area of research by presenting relevant approaches, latest advancements, and solutions that fall within the scope of Electronics and extend the current state of the art in neural network-based human–computer interaction systems, including, but not limited to, the following:
- Neural network models for voice and speech interfaces;
- Deep learning approaches for emotion recognition and affective computing;
- Neural network-driven approaches to kinesthetic and gaze interfaces;
- Applications of neural networks in brain–computer interfaces;
- Natural language processing with neural information processing;
- Content suggestion systems based on neural architectures;
- Enhanced biometric authentication and security in neural-based interactive systems;
- Predictive interfaces employing neural network models;
- Ethical considerations and society impacts of neural network integration in HCIs;
- Hardware implementations of intelligent interactive systems using neural computing;
- Neural network-based natural interfaces;
- Neural network-assisted virtual and augmented reality (VR and AR) interfaces and environments.
Dr. Christos Orovas
Dr. Sapounidis Theodosios
Prof. Dr. Efkleidis Keramopoulos
Dr. Christina Volioti
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- neural networks
- deep learning
- human–computer interaction
- interactive systems
- natural interfaces
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