About the Workshop

Adaptation and personalisation are crucial aspects of the design and development of successful artificial intelligence systems, from search engines and recommender systems to wearable devices. The increased desire for customisation inevitably leads to the need for the end-user to understand the rationale behind displaying that specific tailored content.

Explainable AI (XAI) is a key research area that currently deals with these topics and aims to create intelligent systems that are more and more transparent, human-understandable and trustworthy, taking care of specific regulations, like the GDPR, which explicitly require users to be able to understand why and how a particular result was obtained.

In such a scenario, the design and development of user interfaces play a fundamental role in providing the proper explanations to the end-users, even more than implementing the system itself in many cases, and much research about innovative human-centred explainable AI systems has been recently done.

However, a common issue we may face in this context is to find intelligent user interfaces following the one-fits-all paradigm, meaning that for a single application or system, all the users receive the same explanations without considering their different knowledge, background or expertise.

The First Workshop on Adaptive and Personalised Explainable User Interfaces (APEx-UI 2022) aims to foster a cross-disciplinary and interdisciplinary discussion between experts from different fields (e.g. computer science, psychology, sociology, law, medicine, business, etc.) in order to answer a precise research question:

"How can we adapt and personalise explainable user interfaces to the needs, demands and requirements of different end-users, considering their distinct knowledge, background and expertise?"

Topics of the Workshop

Topics of interest include but are not limited to:

• Adaptive and personalized explainable interfaces

• Adaptive explainable interfaces

• Personalized explainable interfaces

• Transparent and explainable user interfaces

• Privacy-preserving explainable user interfaces

• Innovative methods for designing explainable interfaces

• Interaction user interfaces

• Ethical issues (Fairness and Biases) in explainable interfaces

• User-adaptive XAI systems

• Transparent and explainable user profiles

• Evaluation criteria for explainable interfaces

• Novel metrics for explainable interfaces evaluation

• Empirical studies and evaluation of explainable interfaces

Venue

APEx-UI 2022 is co-located with the 27th Annual Conference on Intelligent User Interfaces (ACM IUI 2022) and hosted by the University of Helsinki, Finland.

Originally planned to take place at Paasitorni, the Art Nouveau heritage building used for meetings and events, the entire conference will be held virtually.