Universities have increasingly diverse student populations. While a greater variety of students' backgrounds, skills and abilities exist, this does not necessarily mean they have more inclusive interactions. A lack of inclusive interactions can cause ...

Popularity bias is a prominent phenomenon in recommender systems (RS), especially in the music domain. Although popularity bias mitigation techniques are known to enhance the fairness of RS while maintaining their high performance, there is a lack of ...

Launched in 2016, the Health Recommender Systems Workshop (HealthRecSys) rapidly became a central forum for discussing the transformative capabilities of personalized recommender systems within the health and care sectors. Despite the unforeseen pause ...

Information Visualization has been one of the cornerstones of Data Science, turning the abundance of Big Data being produced through modern systems into actionable knowledge. Indeed, the Big Data era has realized the availability of voluminous datasets ...

Students in higher education with Autism Spectrum Disorder (ASD) face many challenges that might differ from their neurotypical peers. One area where students with autism face deficits is planning. This paper looks into the challenges faced and the ...

The proliferation of AI-based techniques poses a range of new challenges for the design and engineering of intelligent and adaptive systems since they tend to either act as black boxes or, more generally, not offer the user sufficient transparency, ...

This paper presents a qualitative design science study into the interface of an Automated Medical Reporting (AMR) system in order to establish user-centered design principles. AMR has been proposed as a solution to conquer the administrative ...

Existing eXplainable Artificial Intelligence (XAI) techniques support people in interpreting AI advice. However, although previous work evaluates the users’ understanding of explanations, factors influencing the decision support are largely overlooked in ...

ACM Conference on Recommender Systems (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. RecSys 2023 will be held in Singapore and will bring ...

Language models are widely used for different Natural Language Processing tasks while suffering from a lack of personalization. Personalization can be achieved by, e.g., fine-tuning the model on training data that is created by the user (e.g., social ...

We present an approach that shows all relevant subspaces of categorical data condensed in a single picture. We model the categorical values of the attributes as co-occurrences with data partitions generated from structured data using pattern mining. We ...

Exergames are a promising way to encourage physical activity in the population. Especially competitive gaming has been shown to boost physical activity during gameplay. However, differences in physical abilities and fitness can lead to anxiety, fear of ...

A common criteria for Explainable AI (XAI) is to support users in establishing appropriate trust in the AI – rejecting advice when it is incorrect, and accepting advice when it is correct. Previous findings suggest that explanations can cause an over-...

Recommender systems have been put to use in the entertainment and e-commerce domains for decades, and in these decades, recommender systems have grown and matured into reliable and ubiquitous systems in today’s digital landscape. Relying on this ...

Healthy nutrition contributes to preventing non-communicable and diet-related diseases. Recommender systems, as an integral part of mHealth technologies, address this task by supporting users with healthy food recommendations. However, knowledge ...${}^{\mathrm{}}\mathrm{}$${}^{\mathrm{}}\mathrm{}$