Call for Papers
The 3rd International Conference on Human–AI Interaction and Experience Design (HAXD 2027)

Technically Co-Sponsored by the IEEE Italy Section
Hybrid Conference — On-site & Online
Naples, Italy · June 14–16, 2027

Theme: Designing for Agency: Human Control in an AI-Driven World

Scope

Artificial intelligence has become deeply embedded in our daily lives, transforming how we work, learn, manage our health, communicate, create, and interact with public and digital services. As AI systems become increasingly capable, autonomous, and pervasive, the quality of human–AI interaction is emerging as a critical factor in determining whether these technologies genuinely benefit people and society.

HAXD 2027 focuses on the design and experience of human–AI interaction—examining not only what AI systems can do, but also how people interact with them, how AI-mediated experiences shape human behaviour and decision-making, and how interaction design can preserve meaningful human agency and control.

We are interested in understanding and improving the full spectrum of human–AI outcomes, including usefulness, usability, trust, cognitive workload, user satisfaction, safety, fairness, accessibility, transparency, user agency, and long-term societal impact.

The conference welcomes research, design, and practical contributions spanning a broad range of AI technologies, including foundation models, generative AI, large language models, conversational agents, agentic and multi-agent systems, recommendation systems, computer vision and speech interfaces, interactive machine learning, robotics, and emerging AI paradigms.

We particularly welcome work that considers the diversity of people who interact with AI, including researchers and practitioners, multilingual and multicultural communities, older adults, children and young people, and people with disabilities. We also welcome research across the many contexts in which human–AI interaction takes place, including homes, workplaces, education, healthcare, creative environments, civic technologies, social platforms, financial services, and other emerging application domains.

HAXD 2027 invites contributions addressing how humans and AI systems communicate, collaborate, delegate, supervise, co-create, learn from one another, and make decisions together. We welcome work that designs new interaction paradigms, evaluates real-world AI experiences, develops methodologies for AI usability and UX research, creates tools and prototypes, or investigates the ethical and societal implications of AI interaction design.

We especially welcome work that:

Designs new interaction paradigms for AI systems
Evaluates real human–AI experiences with users
Advances methodologies for AI usability and UX research
Explores human agency, control, and oversight in AI-supported activities
Investigates collaborative, agentic, and multi-agent interaction
Examines the societal, ethical, and responsible-design implications of AI
Develops tools, prototypes, datasets, benchmarks, and reproducible artifacts


Topics of Interest


Track 1 — Human–AI Interaction & Experience Design
Conversational interfaces and dialogue design for AI systems
Multimodal interaction paradigms involving voice, gesture, text, and visual interaction
Adaptive and personalized AI interfaces
Explainable AI interfaces and visualization
User agency, human control, and error recovery in automated systems
UX methodologies and user journey mapping for AI-enabled products
Onboarding and mental-model formation for AI systems
Accessibility and inclusive design for AI interfaces
Cross-cultural and multilingual AI interaction
Emotional design and affective computing in AI interfaces

Track 2 — Collaborative, Agentic & Multi-Agent 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
Human-in-the-loop AI design
Delegation, supervision, and intervention in AI-assisted tasks
Interfaces for orchestrating multiple AI agents
Visualization of agent interactions and handoffs
Trust, accountability, and consensus in multi-agent decision chains
Monitoring, debugging, and observability interfaces for agentic systems

Track 3 — Generative AI & Creative Experiences
Interaction and interface design for large language models and conversational AI
Text-to-image, video, audio, and code generation experiences
Human–AI co-authoring and creative collaboration
Prompt design and prompting strategies
Prompt-free and natural interaction with generative AI
Steering, grounding, and controllability of generative outputs
Provenance, watermarking, and disclosure of AI-generated content
Evaluation of quality, creativity, usefulness, and user experience
Generative AI in design, art, media, and other creative practices

Track 4 — Trust, Safety, Ethics & Responsible AI
Trust, transparency, and algorithmic understanding
Bias mitigation and fairness through inclusive interaction design
Ethical considerations in persuasive AI
Social implications of AI interaction design
Hallucination disclosure and uncertainty communication
Prompt injection and adversarial-input awareness in user interfaces
Guardrails, refusals, and safe-completion experiences
Misuse prevention and responsible AI interaction
Red-teaming and verification interfaces
Human oversight and accountability in AI-supported decisions

Track 5 — Data, Personalization, Memory & Privacy
User-controllable memory and context management for AI assistants
Transparency and editing of AI-generated user models
Personalization and user preference management
Personalization versus privacy trade-offs
Privacy, data protection, and consent in AI interfaces
Data provenance and “right to be forgotten” interfaces
Feedback loops and preference-elicitation UX
Long-term context and continuity in AI interactions
Cross-session AI experiences
User control over personal data and AI memory

Track 6 — Evaluation, Methodology & Tools
Usability testing methods for AI systems
User research techniques for human–AI interaction
Metrics and evaluation frameworks for human–AI experiences
Longitudinal studies of AI adoption and use
Comparative evaluation of AI interaction paradigms
Design thinking and participatory design for AI systems
Prototyping tools and techniques for AI interfaces
Reproducible methods and benchmarks for human–AI interaction
Evaluation of agentic and generative AI experiences
Methods for studying trust, agency, workload, and user satisfaction

Track 7 — Domain Applications & Emerging Technologies
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
Robotics and human–robot interaction
Smart-home and IoT AI interaction
Financial AI services and user trust
Virtual and augmented reality AI interfaces
Brain–computer interfaces for AI interaction
Future interaction paradigms and speculative design
AI interaction in emerging application domains


Submission Types

HAXD 2027 welcomes the following submission categories:

Research Papers — Up to 8 pages

Full research contributions presenting novel methods, systems, frameworks, theories, or empirical findings with rigorous evaluation and significant contributions to human–AI interaction and experience design.

Short Papers — 4–6 pages

Promising early-stage research, position papers, negative results with meaningful analysis, replication studies, or focused contributions that are not yet suitable for a full research paper.

Demo Papers / Artifacts — 4–6 pages

Working tools, prototypes, interactive systems, UX frameworks, datasets, benchmarks, or other research artifacts demonstrating novel approaches to human–AI interaction.

Authors are encouraged to provide reproducible code, datasets, benchmarks, documentation, or other supporting materials where appropriate.

Poster Papers — 1–2 pages

Concise contributions presenting work in progress, preliminary findings, emerging ideas, or position statements. Poster submissions provide an opportunity for discussion, feedback, and interaction with the HAXD community.

Review Process

Submissions will undergo single-blind peer review by members of the HAXD 2027 technical program committee.

Submissions should present original work that is not published or under review elsewhere. Authors should use the appropriate IEEE conference manuscript template and submit manuscripts in PDF format.

Accepted, registered, and presented papers will be included in the IEEE Conference Proceedings and submitted for inclusion in the IEEE Xplore Digital Library, subject to IEEE Xplore's scope and quality requirements.

Important Dates

Main Paper Track
Paper submission: February 20, 2027
Notification of acceptance: April 15, 2027
Camera-ready submission: May 5, 2027
Conference: June 14–16, 2027

Poster Track
Poster submission: March 30, 2027
Notification of acceptance: April 20, 2027
Camera-ready submission: May 5, 2027

Artifacts & Demonstrations
Submission: April 15, 2027
Notification of acceptance: May 5, 2027
Camera-ready submission: May 20, 2027

All deadlines are in Anywhere on Earth (AoE) time.

Conference Venue

Naples, Italy
June 14–16, 2027
Hybrid: On-site and Online

General Chairs

Philippe Palanque
ICS-IRIT, University of Toulouse, France

Antonio Piccinno
University of Bari Aldo Moro (UNIBA), Italy

Luis A. Leiva
University of Luxembourg, Luxembourg

Program Chairs

Tommaso Turchi
University of Pisa, Italy

Addi Ait-Mlouk
University of Skövde, Sweden

Prashant Goswami
Blekinge Institute of Technology, Sweden

Submission

Authors are invited to submit their contributions through the HAXD 2027 submission system using the appropriate IEEE conference template.

Submission deadline: February 20, 2027 (AoE)

For detailed submission requirements, templates, formatting instructions, and the submission system, please visit the official HAXD 2027 website:

HAXD 2027 — Official Conference Website

HAXD 2027 — Call for Papers

Contact

For questions regarding submissions, the review process, camera-ready preparation, or other conference matters, please contact:

intelligent.systems2026@gmail.com

We invite researchers, designers, developers, and practitioners from around the world to share their work and help shape the future of Human–AI Interaction and Experience Design.

We look forward to receiving your contributions and welcoming you to HAXD 2027 in Naples, Italy!