Machine Learning for HCI: Cases, Trends and Challenges
A special issue of AI (ISSN 2673-2688).
Deadline for manuscript submissions: 31 October 2024 | Viewed by 1343
Special Issue Editors
Interests: user modelling; web mining; HCI; interaction design; usability evaluation; digital marketing and programmatic advertising
Interests: human computer interaction; interaction design; information systems; databases; data/web mining; knowledge on demand/personalized services
Special Issue Information
Dear Colleagues,
Over the last few years, the field of human–computer interaction (HCI) has undergone significant progress due to contributions of machine learning (ML) techniques. The deployment of ML allows HCI researchers and practitioners to dissect user behavior, forecast user inclinations, streamline interface adjustments, and tailor interactions to personal needs and preferences, thus enabling improved interaction design and usability. ML techniques can leverage various types of HCI data such as user actions (clicks, taps, gestures), usage patterns (time spent on tasks, sequence of actions, etc.), user feedback (surveys, interviews, etc.), biometric data (eye-tracking, facial expressions, physiological signals, etc.), contextual and preference data, error logs or accessibility data (disabilities).
The convergence of ML and HCI has introduced a new era of perceptive, adaptable, and user-centric interactive systems, as designers are no longer required to anticipate user needs and specify static interactions, but are able to analyse user behaviour and dynamically adapt the interaction accordingly, leading to more intuitive, engaging and usable interactions. The goal of this Special Issue is to bring together researchers from the areas of ML and HCI working on the combination of the two domains. The issue will gather best practices, latest findings and current trends and challenges from research and industry, deploying ML techniques for solving HCI-related problems and offering new or improved capabilities to the way humans interact with modern computer systems.
Dr. Maria Rigou
Prof. Dr. Spiros Sirmakessis
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. AI is an international peer-reviewed open access quarterly 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.
Keywords
- user behaviour analysis
- gesture and voice interaction
- attention monitoring
- affective interaction
- interface adaptation
- personality trait recognition
- intelligent user interfaces
- recommender systems
- human-in-the-loop machine learning
- ethics
