Brain–Computer Interfaces for Multimodal Human–Computer Interaction

Dear Colleagues,

This Special Issue aims to explore multimodal human–computer interaction (HCI) with the use of brain–computer interfaces (BCIs).

BCIs can be described as communication systems able to establish an alternative pathway between the user’s brain activity and a computer, providing an additional non-muscular channel for communication and control to the external world. This can be achieved either explicitly by allowing users to issue direct commands into devices without physical involvement of any kind (e.g., speller typing, wheelchair control), or implicitly by monitoring a user’s state (e.g., workload level, attention state) to proactively adapt a user-interface or a virtual environment.

Undoubtedly, BCIs have not only been proven to be important tools in the medical domain as either assistive or restorative interfaces but also have introduced a unique form for the human–computer interaction paradigm.

In the last few years, BCIs have progressed as an emerging research area in the fields of HCI and interactive systems, primarily due to the introduction of low-cost EEG systems that render BCI technology accessible for non-medical research. Consequently, BCIs provide a wide new range of possibilities in the way users interact with a computer system (e.g., neuroadaptive interfaces). However, major challenges must still be tackled for BCI systems to mature into an established communication medium for effective human–computer interaction.

The goal of this Special Issue is to create an understanding of the current capabilities of BCIs in multimodal human–computer interaction, highlight current and future applications, and identify and tackle the most relevant technical challenges.

We encourage authors to submit original research articles, case studies, reviews, theoretical and critical perspectives, and viewpoint articles including but not limited to:

• Improving the usability or functionality of BCIs;
• Realistic, immersive, and/or multisensory scenarios that make use of a BCI;
• Methodological and technical advancements related to multimodal interaction and BCI;
• Increasing the communication bandwidth with hybrid BCIs (two or more modalities) or shared-control BCIs (combination of two or more BCI paradigms);
• Health applications related to assistive BCIs for communication and control of restorative BCIs for rehabilitation;
• Non-health applications in interaction, neuroadaptive interfaces, entertainment, education, training, or other areas that result from the use of BCIs.

Dr. Athanasios Vourvopoulos
Dr. Serafeim Perdikis
Dr. Patricia Figueiredo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Multimodal Technologies and Interaction is an international peer-reviewed open access monthly 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 1600 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.

• brain–computer interfaces
• human–computer interaction
• multimodal interaction
• neuroadaptive interfaces
• electroencephalography
• virtual reality
• augmented reality