Group Modeling, Adaptation, and Personalization
The 5th Workshop on Group Modeling, Adaptation and Personalization (GMAP) aims to bring together a community of researchers from multiple disciplines, including Psychology, Computer Science, and Organizational Behavior. In this workshop, researchers have the opportunity to share research and ideas, fostering a vibrant and inclusive community and creating opportunities for networking and collaboration. Such communities will contribute to advancing our understanding of group modeling, adaptation and personalization, identifying key challenges and opportunities, and developing a shared research agenda to guide future works in the field.
While most existing HCI and decision-support systems are designed to support single users, there are scenarios where these systems should consider the needs of groups. In these cases, specific challenges have to be addressed. Collective factors - such as interpersonal relationships, group mood, and emotional contagion - play a crucial role in group dynamics. Still, they are often ill-defined and absent from systems’ modeling. Furthermore, producing fair, privacy-protecting, and explainable recommendations is a notorious challenge of group recommender systems. The potential of large language models to enhance explainability and tackle these challenges is still under-explored. Lastly, the problem of defining a comprehensive evaluation methodology that covers the particularities of group recommender systems is a long-standing issue in the field.