Application of Machine Learning in Human-Computer Interaction
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 125
Special Issue Editor
Interests: signal processing; machine learning; intelligent control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the evolving technological landscape, the integration of machine learning (ML) in human-computer interactions (HCIs) stands as a cornerstone in enhancing user experience and interaction efficiency. This Special Issue explores innovative research and practical applications that bridge ML and HCI, illuminating how these technologies shape and transform user interfaces and experiences and interaction models.
We invite original research articles, case studies, and comprehensive reviews that address, but are not limited to, the following topics:
- Natural Language Processing (NLP) in HCI: Studies on using NLP to improve voice- and text-based interfaces.
- Ethics of AI in HCI: Critical analyses of ethical issues, including privacy, consent, and bias, in machine learning applied to HCI.
- Interactive Machine Learning: Studies on systems that allow users to interactively train and refine machine learning models, enhancing personalized learning and adaptation.
- Augmented and Virtual Reality: Papers on integrating ML in AR/VR to improve immersion, interaction, and the personalization of virtual environments.
- Human–Swarm Interaction: Exploring theoretical and practical models for effective communication and control strategies between humans and swarms of robots.
- Cooperative Control and Decision Making: Studying how humans and multiple-agent systems (MASs) can make decisions collaboratively, especially in scenarios where complex, dynamic tasks are divided among agents and humans.
- Adaptive and Learning Agents: Exploring how agents in a multi-agent system can learn from interactions with humans and adapt their behavior to improve cooperation and performance.
- Human-Centered Computing: Studying the design, development, and deployment of mixed-initiative human-computer systems.
Dr. Pingping Zhu
Guest Editor
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. Applied Sciences 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
- machine learning
- human–swarm interaction
- human-centered computing
