Technically Co-sponsored by
Tech. Co-sponsored by
IEEE Spain Section
Artificial intelligence has become deeply embedded in our daily lives, transforming how we work, learn, manage our health, and interact, enjoy entertainment, and engage with public services. As AI systems grow more sophisticated and pervasive, the quality of human-AI interaction emerges as the critical factor determining whether these technologies truly benefit users and society.
HAXD 2026 focuses on the design and experience of human-AI interaction—examining not just what AI can do, but how people actually interact with these systems and what experiences result from these interactions. We are interested in understanding and improving the full spectrum of user outcomes: usefulness, usability, trust, cognitive workload, user satisfaction, safety, fairness, accessibility, and long-term societal impact.
The conference welcomes research and design work spanning diverse AI technologies—including foundation models, conversational agents, recommendation systems, computer vision and speech interfaces, interactive machine learning systems, and emerging AI paradigms . We welcome submissions that consider the full diversity of users, from researchers to practitioners, multilingual communities, cross-cultural populations, and people with disabilities. Similarly, we embrace work across all environments where human-AI interaction occurs: homes, workplaces, educational settings, healthcare contexts, civic technologies, creative tools, social platforms, and emerging application domains.
We welcome submissions concerning how humans and AI systems communicate, collaborate, and co-create value together. Whether you are designing new interaction paradigms, evaluating existing AI experiences, developing methodologies for AI usability research, or exploring the societal implications of AI interaction design, we want to hear from your work.
HAXD 2026 aims to build a community of researchers, designers, and practitioners committed to ensuring that as AI becomes more powerful, it also becomes more human-centered, inclusive, and genuinely beneficial to the diverse communities it serves.
Exploring innovative interfaces and interaction paradigms for AI systems
Designing seamless and intuitive experiences with AI technologies
Enhancing human-AI collaboration and teamwork
Developing frameworks for assessing human-AI interaction quality
Addressing ethical considerations in AI system design
Exploring AI applications across various domains and industries
Join us in shaping the future of Human-AI Interaction and Experience Design. We look forward to receiving your innovative research!