State-of-the-art approaches in adaptation and personalization research consider user models that mostly maintain information regarding the “traditional” user characteristics (i.e., experience, knowledge, interests, context), and related contextual or technology aspects (i.e., displays, connectivity, processing power). While modeling these factors has shown significant improvements and benefits to the end-users in terms of usability and user experience, there is an urgent need for a step change in user modeling and adaptation that acknowledge human aspects thoroughly, producing more holistic human-centered adaptation and personalization theories and practices. The vision is to bring more inclusively the “human-in-the-loop”, considering intrinsic user characteristics and abilities, like perceptual, personality, visual, cognitive and emotional factors as expressed by the theories of individual differences. In addition, recent studies show the need of broadening the scope of diversity parameters to include characteristics such as motivation, self-actualization, and socio-cultural differences.

The aim of HAAPIE 2024 is to bring together researchers and practitioners working in the areas of human aspects in adaptation and personalization. Specifically, the workshop will address the following objectives:

• Explore state-of-the-art and new implicit and explicit methods and techniques of modeling a broad range of human factors of users and behaviors – both separately and in possible combinations (e.g., cognitive abilities and age; motivation and cultural differences);

• Explore personalization techniques, computational intelligence algorithms, recommendation models, and real-time paradigms that can improve the efficiency and effectiveness of human-centered user tasks and interventions;

• Compare challenges and experience in different real world contexts and applications (e.g., decision support, learning, wellbeing, security), where a holistic view on human aspects is needed to provide a positive user experience; and

• Identify theoretical and computational models for the design, development and evaluation of human aspects in adaptation and personalization.

The added value will be to shape new human-centered adaptive interactive environments and personalized platforms that can contribute towards viable long-term  solutions.