The 18th International Conference on Quality of Multimedia Experience (QoMEX’26) will take place in Cardiff, United Kingdom, from June 29 to July 3, 2026. This event will gather top experts from both academia and industry to showcase and discuss the latest research on multimedia quality, Quality of Experience (QoE), and User Experience (UX). The topic of this year is: Quality of Multimedia Experience Meets Machine Intelligence.

At the threshold of a new era where Quality of Multimedia Experience meets Machine Intelligence, it is time to rethink the goals and methods of QoE research: leveraging AI to enhance user experience, while also using QoE insights to build more human-aware, trustworthy, and adaptive AI.

Prospective authors are invited to submit full papers (up to 6 pages for technical content including figures and references, and one optional 7th page containing only references) or short/demo papers (3 +1 page of references) to the general track, dataset and tools track, or to special sessions. Each paper will undergo a double-blind review process. Accepted and presented papers will be included in the conference proceedings and published in IEEE Xplore.
TOPICS OF INTEREST

The conference will be held in the form of oral, poster, and plenary sessions. The QoMEX 2026 organizing committee solicits contributions, including, but not limited to, topics:

AI-Empowered QoE

    Machine-learning models for  QoE prediction and adaptation 
    Explainable AI (XAI) in QoE modeling 
    Reinforcement learning for QoE-optimized adaptive streaming or resource allocation
    Quantum or hybrid (classical + quantum) ML techniques for QoE estimation and optimization
    Foundation models (e.g., LLMs, vision-language models, diffusion models) for multimedia QoE
    Embodied AI and agent-based systems for QoE-aware interaction and decision-making
    Autonomous AI agents for monitoring, predicting, and optimizing QoE in dynamic environments
    Human-AI co-adaptation and co-learning for personalized multimedia experience
    QoE of AI-generated content (AIGC) and synthetic media

Foundations and Methodologies in QoE Research

    Multimedia QoE and User eXperience
    User studies, assessment, and evaluation methodologies
    Objective models for QoE and media quality
    Replicability and transparency in QoE research
    Databases for QoE research
    Crowdsourcing,  hybrid human-AI evaluation protocols
    Multimodal data collection and annotation frameworks

Innovative Approaches and Paradigms in QoE Research

    Quality of sustainable experiences (QoSE)
    QoE and the value of services

Technological Innovations and QoE

    QoE management in networks and systems
    QoE in the era of big data and foundation models
    User-centricity and key value indicators in 6G and next-generation networks
    QoE in edge/cloud computing and network intelligence architectures

Ethical, Social, and Human-Centric Aspects

    QoE, Quality of Life (QoL), well-being, and society
    Diversity, inclusivity, ethics, and accessibility in QoE
    Human-Computer Interaction and novel interaction techniques
    Human factors in multimedia experiences
    Cognitive, emotional, and attentional factors in multimedia experience
    Ethics of using AI to infer subjective QoE (privacy, consent, explainability)

Specific Applications and Use Cases

    User research and experience for specific applications: gaming, education, training, healthcare, culture, etc.
    Immersive experiences and technologies (VR/AR/MR/XR)
    Quality of multimodal and multisensory perception
    QoE for telepresence, metaverse applications, and spatial computing
    Human-agent and human-robot interaction quality