Conference Information

QoMEX 2026: International Conference on Quality of Multimedia Experience

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Submission Date:
2026-02-06
Notification Date:
2026-04-10
Conference Date:
2026-06-29
Location:
Cardiff, UK
Years:
18
ICORE: B   Viewed: 20536   Tracked: 2   Attend: 0

Call For Papers

QoMEX 2026 (International Conference on Quality of Multimedia Experience) is a ICORE B conference held in Cardiff, UK on 2026-06-29. The paper submission deadline is 2026-02-06. Acceptance notifications are sent on 2026-04-10.

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
Last updated by Dou Sun on

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Related Journals

CCFFull NameImpact FactorPublisherISSN
AIEEE Transactions on Multimedia9.7IEEE1520-9210
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