Scope

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.

Research Topics

We invite submissions on a wide range of topics related to Human-AI Interaction and Experience Design, including but not limited to:

Human-AI Interaction Design

    Conversational interfaces and dialogue design for AI systems
    Multimodal interaction paradigms (voice, gesture, text, visual)
    Adaptive and personalized AI interfaces
    Trust and transparency in AI system design
    User agency and control in automated systems
    Explainable AI interfaces and visualization
    Error handling and failure recovery in AI interactions

User Experience for AI Systems

    UX methodologies for AI-enabled products and services
    User journey mapping for AI-assisted workflows
    Onboarding and mental model formation for AI systems
    User feedback and AI system improvement
    Accessibility and inclusive design for AI interfaces
    Cross-cultural design considerations for global AI systems
    Emotional design and affective computing in AI interfaces

Collaborative AI and Agentic Systems

    Human-AI collaboration frameworks and design patterns
    Agentic AI workflow design and user experience
    Co-creation and co-design with AI systems
    AI assistants and virtual agents interaction design
    Human-in-the-loop AI system design
    Delegation and supervision in AI-assisted tasks
    Team dynamics in human-AI collaborative environments

Evaluation and Methodology

    Usability testing methods for AI systems
    User research techniques for AI interaction design
    Metrics and evaluation frameworks for human-AI experiences
    Longitudinal studies of AI system adoption and use
    Comparative analysis of AI interaction paradigms
    Design thinking and participatory design for AI systems
    Prototyping tools and techniques for AI interfaces

Ethics and Responsible AI Design

    Privacy and data protection in AI user interfaces
    Bias mitigation through inclusive design practices
    Algorithmic transparency and user understanding
    Consent and user control in AI data collection
    Ethical considerations in persuasive AI design
    Fairness and equity in AI system access and use
    Social implications of AI interaction design decisions

Domain Applications

    Healthcare AI interfaces and patient experience
    Educational AI systems and learning experience design
    Workplace AI tools and productivity interfaces
    Creative AI systems and artistic collaboration
    Autonomous systems and human oversight interfaces
    Smart home and IoT AI interaction design
    Financial AI services and user trust

Emerging Technologies and Future Directions

    Virtual and augmented reality AI interfaces
    Brain-computer interfaces for AI interaction
    Embodied AI and robotics interaction design
    Large language model interface design
    Generative AI user experience and creative workflows
    AI-powered personalization and recommendation systems
    Future interaction paradigms and speculative design