AI-Driven Multimodal Interfaces in XR: Enhancing Human–Computer Interaction
A special issue of AI (ISSN 2673-2688). This special issue belongs to the section "AI in Autonomous Systems".
Deadline for manuscript submissions: 14 August 2026 | Viewed by 1730
Special Issue Editors
Interests: extended reality; communication; games
Special Issues, Collections and Topics in MDPI journals
Interests: AI (generative, agentic, conversational); knowledge representation and reasoning; knowledge engineering; semantic web; internet of things
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue will explore the convergence of artificial intelligence (AI), multimodal interfaces, and extended reality (XR) technologies to advance human–computer interaction (HCI). As XR environments, spanning virtual and augmented realities, become increasingly immersive, the integration of AI-driven multimodal interfaces is essential to enhance intuitiveness, responsiveness, and user personalization. This Special Issue will present interdisciplinary research that leverages speech, gesture, gaze, haptics, motion, and biometric signals to develop adaptive, context-aware systems. AI techniques, including machine learning (ML), natural language processing (NLP), and knowledge graphs (KG), are employed to structure data and reason with knowledge, as well as interpret multimodal input, enabling more natural and seamless interactions between users and virtual environments.
Key topics include the following: simulations of role playing, user intent recognition, emotion-aware interfaces, real-time interaction modeling, accessibility enhancements, and content personalization. These topics should be explored both theoretically and by using practical applications in key XR domains such as education, healthcare, gaming, and remote collaboration, demonstrating the real-world potential of AI-augmented XR systems.
This Special Issue will also address critical challenges such as multimodal data fusion and knowledge integration, latency reduction, user privacy, and the adaptability of interfaces across diverse populations. By integrating technological innovation with user-centered design, this Special Issue will highlight promising pathways toward more intelligent, inclusive, and engaging XR experiences.
Overall, this Special Issue serves as a timely and valuable resource for researchers and developers seeking to reshape the future of HCI through AI-enhanced multimodal XR interfaces.
Dr. Vlasios Kasapakis
Dr. Konstantinos Kotis
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 250 words) can be sent to the Editorial Office for assessment.
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. AI 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 1800 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
- multimodal interfaces
- extended reality (XR)
- artificial intelligence (AI)
- human–computer interaction (HCI)
- adaptive systems
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