Emerging Frontiers and Real-World Innovations in Human-Computer Interactions
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".
Deadline for manuscript submissions: 15 March 2026 | Viewed by 16
Special Issue Editors
Interests: human-computer interaction; digital phenotyping; cognition; personalization; deep learning; crowdsourcing
Interests: computer vision; deep learning; machine learning; machine vision; agriculture automation; human-computer interaction
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Human–Computer Interaction (HCI) is undergoing significant changes driven by three major technological trends: ubiquitous sensing, data-driven design, and human-centered AI. This Special Issue will present original research that is redefining how people perceive, manipulate, and converse with digital technology, capturing advances likely to shape practice over the coming decade.
On-theme contributions to this Special Issue are invited, either in the form of case studies or literature reviews, that report important breakthroughs. Such breakthroughs may be new interaction paradigms, algorithms, devices, or evaluation methods, and must demonstrate measurable benefits for usability, accessibility, or user experience in the domains of work, health, or learning.
The following themes are representative, but by no means exhaustive:
- Multimodal and voice‑ and gesture‑centric interfaces powered by large language‑vision models.
- Embodied, haptics‑rich interaction in AR/VR/MR and spatial computing environments.
- Cognitive personalization solutions that can infer cognitive load, ability, or style to tailor content and guidance.
- Digital phenotyping that can identify human behavioral traces in user logs.
- Generative agents and personalized digital twins that mediate complex tasks or social experiences.
- Responsible AI, transparency, and trust calibration in adaptive interactive systems, especially considering the human-centered AI perspective.
- Inclusive and co‑design techniques for aging, neurodiverse, or low‑literacy populations.
Collectively, the articles will provide a coherent snapshot of the most influential discoveries since the last major HCI update. Furthermore, they will expose methodological gaps in the literature and stimulate cross‑disciplinary exchange among researchers in HCI, cognitive science, and machine learning.
Dr. Dennis Lourenço Paulino
Dr. Salik Ram Khanal
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. 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
- human–computer interaction
- human-centered AI
- multimodal interfaces
- adaptive user interfaces
- cognitive personalisation
- generative agents
- extended reality (AR/VR/MR)
- responsible AI/trustworthy AI in UX
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