40 years of HCI International. Join us in Washington DC to celebrate


The AI in HCI conference aims to bring together academics, practitioners and students to exchange results from academic and industrial research, as well as industrial experiences, on the use of Artificial Intelligence technologies to enhance Human-Computer Interaction. In particular, the following areas of research are relevant: (i) Ethical and trustworthy AI to provide a fair and unbiased experience; (ii) Evolution of Human-Centered AI including models, processes and modalities; (iii) Generative AI tools, methods, and processes; (iv) Human-AI Interaction and collaboration; (v) Use of AI to support basic human needs; and (vi) AI in HCI for consumer and industrial application domains.

The conference is targeted at individuals and organizations who have performed research or developed applications in the area of AI in HCI. The conference is also targeted at individuals and organizations which want to learn from those results, so they can (re-)use them in research or industrial applications.

Call for participation leaflet (161KB)

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The AI in HCI Conference welcomes work with a strong user, human, or society focus.
The related topics include, but are not limited to:

  • Ethical and trustworthy AI
    • Identifying and addressing biases and potential conflicts such as fairness, privacy, equity, diversity, sustainability, power assignment and distribution, norms, values / beliefs
    • Explainable AI, transparency, reliability, trust, and fairness
    • Metrics and Key Performance Indicators (KPIs)
    • Human-Centered AI
      • Models: human modeling, social models, dialog / interaction models, technology models
      • Processes, tools, methods, standards, multi-disciplinary collaboration
      • Design thinking: methods, processes, tools, and case studies
      • Data acquisition and data quality
      • Prototyping / simulation
      • Personalizable and adaptable User Interfaces, Intelligent User Interfaces, affective User Interfaces
      • User involvement, user research, evaluation, AI technology assessment and customization
      • Generative AI
        • AI-based content generation, such as text, images, videos, 3D models, etc.
        • For Large Language Models (LLMs): control of outcomes, prompts, bias, hallucinations, etc.
        • Generation of process artifacts, such as definition of user goals, user models, personas / user roles, usability test results, storytelling and narratives, etc.
        • Generative UI/UX: UI design, personalized UIs, collaborative creativity
        • Human-AI Interaction
          • Conversational modalities, such as chatbots and intelligent personal assistants
          • Human-robot teaming and interactions
          • Human-agent collaboration and interactions
          • Interaction paradigms: gesture-based interactions, implicit interactions, virtual and augmented reality, brain-computer interfaces
          • Use of AI to support fundamental human needs, such as
            • Fair supply of and access to healthy and affordable food and water
            • Fair supply of and access to affordable education and personal growth
            • Fair supply of and access to affordable healthcare
            • Sustainable use of resources
            • Being treated respectfully and fairly without bias and discrimination
            • Increasing inclusion and reducing inequalities
            • Fostering environmental sustainability, responsible consumption, and production
            • Consumer and industrial application domains
              • Healthcare and well-being: diagnostics support, treatment suggestions incl. explainability, evidence and confidence, e-health, personalized healthcare, e-IoT, social assistive robots
              • Cultural and art applications: writing, painting, drawing, composing, etc., Financial applications: trends, predictions, bids, risk assessments, recommendations
              • Market places: match finding, trending, bidding, offering
              • Manufacturing & robots: human-robot teaming, human-robot interaction, safety, factory automation and optimization, digital twins, simulations, etc.
              • (Semi-) Autonomous transportation: monitoring and control, explainability, evidence and confidence, ethical conflict resolution, safety, social navigation
              • Smart dashboards: status, deviations, recommendations for preventive and corrective actions including explainability, evidence and confidence
              • Personalized education and e-learning: assessment, planning, content selection, progress measurements
              • Security: predicting and identifying vulnerabilities, predicting and suggesting mitigations, selecting and executing mitigations, monitoring incidents, penetration testing, digital forensics
  • Program Chair

    Helmut Degen

    Siemens Corporation, United States

  • Program Chair

    Stavroula Ntoa

    Foundation for Research & Technology - Hellas (FORTH), Greece

  • Board Members

  • Silvio Barra
    Università degli Studi di Napoli, Italy
  • Joerg Beringer
    ProContext, United States
  • Luis A. Castro
    Sonora Institute of Technology (ITSON), Mexico
  • Gennaro Costagliola
    Università di Salerno, Italy
  • Ahmad Esmaeili
    Purdue University, United States
  • Ozlem Ozmen Garibay
    University of Central Florida, United States
  • Julian Grigera
    LIFIA, Fac. de Informática - UNLP, Argentina
  • Thomas Herrmann
    Ruhr-University of Bochum, Germany
  • Pei-Hsuan Hsieh
    National Chengchi University, Taiwan
  • Aimee Kendall Roundtree
    Texas State University, United States
  • Sandeep Kaur Kuttal
    North Carolina State University, United States
  • Carsten Lanquillon
    Hochschule Heilbronn, Germany
  • Madhu Marur
    Self, Switzerland
  • Rafal Michalski
    Wroclaw University of Science and Technology, Poland
  • Mahnaz Moallem
    Towson University, United States
  • Deshen Moodley
    University of Cape Town, South Africa
  • Jennifer Moosbrugger
    Siemens, Germany
  • Adina Panchea
    Université de Sherbrooke, Canada
  • Ming Qian
    Charles River Analytics, United States
  • Adrienne Raglin
    Army Research Lab, United States
  • Robert G. Reynolds
    Wayne State University, United States
  • Marco Romano
    Università degli Studi Internazionali di Roma - UNINT, Italy
  • Brian C. Stanton
    National Institute of Standards and Technology (NIST) Retired, United States
  • Gabriele Trovato
    Shibaura Institute of Technology, Japan
  • Benjamin Van Giffen
    University of St.Gallen, Switzerland
  • Giuliana Vitiello
    University of Salerno, Italy
  • Xi Wang
    Zhengzhou University, P.R. China
  • Brent Winslow
    Google, United States
  • Carsten Wittenberg
    Hochschule Heilbronn/Heilbronn University oAS, Germany

Disclaimer - Political Neutrality

The HCI International Conference respects the decisions of all its contributors, engaged in any way, regarding their institutional affiliations and designations of territories, in all material / content published in its website, taking a neutral stance in relation to any disputes or claims. Moreover, the HCI International Conference fully concurs with the Territorial Neutrality Policy of Springer Nature, Publisher of its proceedings.