Artificial Intelligence for Sensing, Data Analytics, and Intelligent Human–Computer Interaction
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 10 August 2026 | Viewed by 54
Special Issue Editors
Interests: computer–human interaction; user experience; IoT; web technology; intelligent user interfaces; accessibility; technologies for touchless HCI
Special Issues, Collections and Topics in MDPI journals
Interests: empirical research methods; operations research; behavioral operations research; sensor-based process optimization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the previous Special Issue “AI-Enabled Sensing Technology and Data Analysis Techniques for Intelligent Human-Computer Interaction (https://www.mdpi.com/journal/sensors/special_issues/HCI_sensing)”, we are pleased to announce the next in the series, entitled “Artificial Intelligence for Sensing, Data Analytics, and Intelligent Human–Computer Interaction”.
The concept of user experience (UX) has changed significantly in recent years due to advances in artificial intelligence (AI). Intelligent user interfaces (IUIs), which combine user interfaces (UI) with AI, now offer improved adaptability, usability, and interaction. The rapid growth of smart sensing technologies and Internet of Things (IoT) devices has opened novel possibilities for gathering and analyzing multimodal data about user preferences, interests, and behavior. Innovations in AI, including generative models, multimodal learning, and autonomous agents, now enable intelligent systems to analyze and respond to this data in real time, leading to interfaces that continuously evolve and adapt to individual needs. Such advancements pave the way for highly personalized, natural, and context-aware human–computer interaction (HCI) across diverse domains, from healthcare and education to industry and everyday life.
This Special Issue is dedicated to new advances in developing innovative solutions for intelligent HCI and their applications in daily life. The key aim is to bring together state-of-the-art research in sensing, data analysis, and AI-enabled interaction, fostering discoveries, new ideas, and impactful improvements in IUIs.
Submissions are welcome in (but not limited to) the following areas:
Sensing and Data Analytics
- AI-enabled multimodal sensing (e.g., gesture, gaze, voice, bio-signals, etc.);
- Edge AI and privacy-preserving sensing for HCI;
- Sensor data modeling, analysis, and real-time processing pipelines (streaming, cloud-edge synergy);
- Internet of Behaviors (IoB) and behavioral pattern mining;
- Federated and distributed learning for HCI sensor data;
- Adaptive sensing and context-aware data collection;
- Digital twins of users for interaction modeling (virtual replicas combining sensor and behavioral data);
- Emotion and affective computing from multimodal signals;
- Cross-device and cross-environment sensing (seamless user interaction across heterogeneous ecosystems).
Next-Generation and Immersive Intelligent User Interfaces
- Generative AI for adaptive and personalized IUIs;
- Multimodal large models (integrating text, speech, gesture, vision, and physiological data);
- Conversational and agent-based interfaces (autonomous and multi-agent systems);
- Generative UX (GenUX) and automated interface design;
- AI in Extended Reality (AR, VR, MR) environments;
- Brain–computer interfaces (BCIs) and neuroadaptive interaction;
- AI-driven learning and educational IUIs;
- IUIs for accessibility, inclusion, and assistive technologies.
Evaluation, Ethics, and Responsible AI in HCI
- AI-augmented usability testing and UX evaluation;
- Synthetic user modeling, digital twin simulations, and AI-based UX research methods (ethical and longitudinal perspectives);
- Human-in-the-loop paradigms for adaptive IUIs;
- Explainable and interpretable AI in intelligent interfaces;
- Responsible, ethical, and sustainable design of AI-driven IUIs;
- Trust, confidence, reliance, and privacy in AI-driven HCI;
- Fairness, bias mitigation, and inclusiveness in interaction design;
- Longitudinal evaluation of adaptive and evolving interfaces.
Dr. Boštjan Šumak
Dr. Maja Pušnik
Guest Editors
Manuscript Submission Information
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Keywords
- human–computer interaction (HCI)
- intelligent user interfaces (IUI)
- user experience (UX) and generative UX (GenUX)
- artificial intelligence (AI) and multimodal large models
- intelligent sensors and edge AI for HCI
- conversational and agent-based interfaces
- extended reality (XR: AR/VR/MR) and HCI
- internet of things (IoT) and internet of behaviors (IoB)
- user interaction patterns and data analytics
- responsible AI in HCI
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