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