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