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International Conference on Human-Computer Interaction using Artificial Intelligence

📅 18–19 Jun 2027 📍 Mecca, Saudi Arabia 👤 Standard / Listener

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$185

virtual · $185 in person

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Supporting global researchConnect with researchers across 30+ countries

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest developments in AI-driven interfaces that enhance user interaction. It aims to explore how these interfaces can be optimized for improved user experience and engagement.

This session will delve into the application of machine learning techniques in human-computer interaction. Participants will discuss case studies and innovative approaches that leverage machine learning to enhance user interfaces.

This track emphasizes the importance of human-centered design in the development of AI systems. It will explore methodologies and frameworks that prioritize user needs and experiences in AI applications.

This session will examine the role of predictive analytics in enhancing user experience within interactive systems. Researchers will present findings on how predictive models can inform design decisions and improve usability.

This track investigates the integration of deep learning techniques in interaction design. It will cover advancements in neural networks that facilitate more intuitive and responsive user interfaces.

This session will explore the implications of automation on human-computer interaction. Discussions will focus on how automated systems can enhance or hinder user engagement and satisfaction.

This track will highlight innovative strategies for developing robust AI frameworks that support effective human-computer interaction. Participants will share insights on best practices and emerging trends in AI framework design.

This session will focus on the development of intelligent systems aimed at improving user engagement. Researchers will present their work on systems that adapt to user behavior and preferences.

This track will address methodologies for evaluating user experience in AI applications. Participants will discuss metrics and tools that can effectively measure user satisfaction and interaction quality.

This session will explore how AI techniques can be employed for system optimization in human-computer interaction contexts. Discussions will include algorithms and approaches that enhance performance and efficiency.

This track will speculate on future directions for the integration of HCI and AI technologies. Participants will discuss emerging trends, challenges, and opportunities that lie ahead in this rapidly evolving field.