This track will address the challenges and opportunities that arise at the intersection of Human-Computer Interaction (HCI) and artificial intelligence (AI) technologies. It will explore how AI-driven solutions are transforming the ways humans interact with technological systems, enhancing user experience, accessibility, and adaptability across diverse contexts. Research will be presented that analyzes the co-evolution of HCI and AI, focusing on interfaces, user-centered design, usability, accessibility, ethics, and the social impact of these emerging technologies.

The objectives of the main track of 12JIHC’26 are to:

  • Promote the exchange of ideas, experiences, and research results among academics, professionals, and researchers in HCI and artificial intelligence in Ibero-America.
  • Facilitate the presentation of innovative and relevant work that addresses current and future challenges in human-technology interaction, with special emphasis on AI-driven approaches.
  • Bring together experts from various disciplines — such as computing, design, psychology, and social sciences — to explore integrative approaches that improve user experience in interactive technologies.
  • Disseminate good practices in the design of interfaces and interactive systems, highlighting the importance of ethics, privacy, and inclusion in the development of AI-based technologies.
  • Analyze the social, economic, and cultural implications of human–technology interaction in the AI era and discuss how these can influence society.
  • Consolidate the HCI-COLLAB collaboration network in the region to foster strategic alliances for joint project development and the creation of technological innovation policies.
  • Create a space for participants to identify opportunities for applying scientific and technological advances in industrial contexts, improving interactive products and services.

The topics related to the main track of 12JIHC’26 include:

Smart and Adaptive Interface Design:

  • Exploring new methodologies for designing interfaces that dynamically adapt to user needs using AI, customize experiences, and improve usability.
  • New user-centered design methodologies for complex environments.

User Experience (UX) and Usability in AI Systems:

  • Best practices and challenges in evaluating and enhancing the user experience in applications that incorporate AI, such as virtual assistants, recommendation systems, and voice interfaces.

AI-Powered Augmented, Virtual, and Mixed Reality:

  • Studies on how AI can enhance interaction in immersive environments and extend the capabilities of VR/AR/XR across applications from education to entertainment.
  • Challenges and advances integrating VR/AR/XR into everyday life.

Multimodal and Natural Interaction with AI Technologies:

  • Research on using multiple interaction channels — such as voice, gestures, and facial recognition — to improve communication between users and AI systems.

Inclusion, Accessibility, and AI-Assisted Technology:

  • Proposals and case studies using AI to improve accessibility and develop assistive solutions for users with disabilities.

Ethics, Privacy, and Security in AI-Based Interactive Systems:

  • Discussions about ethical and privacy aspects related to the use of AI in human–technology interaction, including transparency, automated decision-making, and personal data protection.
  • Ethical considerations in design and the importance of inclusion and diversity.
  • Social and ethical impact of intelligent systems on daily life.

Emotional and Affective Interaction with Intelligent Systems:

  • Analysis of technologies that detect, interpret, and respond to user emotions to improve communication and empathy.

AI Applications in Education and Interactive Learning:

  • Evaluating how AI can enrich interactive educational environments by adapting content to students’ learning styles and pace.

Social and Cultural Impact of Human–AI Interaction:

  • Reflections on how AI-based technologies are transforming daily life, culture, and work, and the challenges and opportunities these changes present.

Methods and Tools for Evaluating Intelligent Interfaces:

  • New methodologies and tools for evaluating interaction, usability, and accessibility of systems integrating AI.

Data Processing and Analysis to Improve Interaction:

  • Use of machine learning techniques and large-scale data analysis to optimize interaction and personalization in interactive systems.

The main track of 12JIHC’26 will include a variety of activities such as:

  • Thematic presentations.
  • Exhibitions of research and case studies directly related to Human–Technology Interaction in the AI Era.
  • Practical workshops and interactive sessions exploring tools and methodologies for developing intelligent interactive systems.
  • Showcases of prototypes and innovative tools developed by participants.

The main track of 12JIHC’26 is aimed at:

  • Researchers and academics working in areas related to HCI, artificial intelligence, and interactive systems.
  • Undergraduate and graduate students interested in research and development of intelligent/interactive technologies.
  • Technology professionals who want to share or learn about advancements and trends in intelligent interactive systems.
  • Enthusiasts and curious individuals who want to learn more about the possibilities and applications of these technologies in daily life.

The main track of 12JIHC’26 will promote research and development advances in AI-based interactive technologies and strengthen collaboration networks in Ibero-America. It will foster the transfer of good practices in ethical and accessible design, encourage industrial applications of technological innovations, and contribute to forming new experts while ensuring a responsible and equitable approach to the evolution of human–technology interaction.

Felipe Besoain Pino, Universidad de Talca, Chile

César Alberto Collazos , Universidad del Cauca, Colombia

Valeria Farinazzo Martins , Universidade Presbiteriana Mackenzie, Brazil