EMUXAI

The growing integration of Artificial Intelligence (AI) into interactive systems presents new challenges and opportunities for Human-Computer Interaction (HCI) and User Experience (UX). As AI systems become more adaptive and autonomous, traditional engineering methods must evolve to ensure usability, transparency, and ethical alignment. The workshop encourages contributions that address explainable AI, user-centered design, usability in AI-assisted decision-making, UX evaluation in adaptive systems, and the integration of ethical principles into system development. A central challenge is designing interfaces that can transparently communicate AI reasoning, helping users understand, trust, and even challenge AI decisions when necessary.

In particular, the workshop seeks discussions around how to balance explainability and system performance while aligning explanations with users' cognitive models. It also invites work on usability challenges in sensitive domains such as healthcare, finance, and autonomous systems, where the ability for users to verify and override AI outputs is critical. Evaluating user experience in adaptive and generative systems poses unique difficulties, as these systems evolve over time. The workshop welcomes papers that explore AI-specific UX metrics, the importance of longitudinal studies, and the use of both qualitative and quantitative evaluation methods. Finally, it emphasizes the need for ethical and human-centric engineering approaches to address issues like bias, fairness, user autonomy, and privacy—ensuring AI technologies align with societal values and regulatory standards.

Goals and Expected Outcomes

This workshop aims to advance best practices for engineering AI-driven HCI and UX by identifying effective strategies and fostering interdisciplinary collaboration across AI, HCI, and software engineering. It seeks to develop a comprehensive roadmap of future research directions and methodological improvements. A detailed report will summarize key insights, serving as a foundation for continued work in this space. The initiative is organized in collaboration with IFIP Working Groups 2.7/13.4 on User Interface Engineering and 13.11/12.14 on Human-Centered Intelligent Systems. Their involvement ensures alignment with broader efforts to bridge research and practical applications in interactive AI systems.