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The HumanEYEze 2024 workshop aims to explore the role of eye tracking in developing human-centered multimodal AI systems. Over the past two decades, eye tracking has evolved from a diagnostic tool to an important input modality for real-time interactive ...

This study proposes a method for developing a user knowledge model based on their past learning experiences. The focus is on analyzing academic data, particularly lesson records, to extract information about educational concepts. The ultimate goal is to ...

Adaptive and personalized systems have become pervasive technologies, gradually playing an increasingly important role in our daily lives. Indeed, we are now accustomed to interacting with algorithms that leverage the power of Language Models (LLMs) to ...

The objective of this tutorial is to provide the researchers of the UMAP community with methodologies, tools and techniques to model complex psychomotor behaviours that can later personalize learning support in realms like sports, physical education or ...

The presented tutorial aims to serve as a comprehensive roadmap for the UMAP community into the current user modeling research, focusing on the paradigm shifts that have transformed the research landscape in recent times. We will provide a complete ...

Machine learning models using users’ gaze and hand data to encode user interaction behavior in VR are often tailored to a single task and sensor set, limiting their applicability in settings with constrained compute resources. We propose GEARS, a new ...

The seventh HUMANIZE workshop1 on Transparency and Explainability in Adaptive Systems through User Modeling Grounded in Psychological Theory took place in conjunction with the 29th annual meeting of the Intelligent User Interfaces (IUI)2 community that ...

With an increasing number of music tracks available online, music recommender systems have become popular and ubiquitous. Previous research indicates that people’s preferences, especially in music, dynamically change with various factors, such as ...

As phishing threats intensify, incidents like the “COVID-19 vaccination form” phishing website underscore the limitations of relying solely on traditional firewall-based defenses. Consequently, there is a growing inclination towards user-centered ...

Gambling has been on the rise over the past years and understanding different patterns of the human behavior while gambling involves the identification of the emotions experienced while gambling, as well as how these change during a gambling activity. ...

Online news articles contain representative textual content including title, abstract, category and entities, and the clicked news articles by users indicate their interests. Fully exploiting these features is critical for accurate matching between ...

Recommender systems typically rely on past user interactions as the primary source of information for making predictions. However, although highly informative, past user interactions are strongly biased. Impressions, on the other hand, are a new source ...

During their information seeking people tend to filter out all the parts of the available information that do not fit their existing beliefs or opinions. In this paper we present a model for this “Self-imposed Filter Bubble” (SFB) consisting of four ...

Detecting learners in need of support is a complex process for both teachers and machines. Most prior work has devised visualization tools that allow teachers to do so by analyzing educational indicators. Other recent efforts have been devoted to ...

Adaptive and personalized systems have become pervasive technologies, gradually playing an increasingly important role in our daily lives. Indeed, we are now used to interacting with algorithms that help us in several scenarios, ranging from services ...

User modeling or user profiling is fundamental to manage information overload issues in many adaptive and personalized systems (e.g., recommender systems, personalized search engines, adaptive user interfaces). Although there are some literature ...

In this paper, we present a framework that supports providing user-specific explanations of AI systems. This is achieved by proposing a particular approach for modeling a user which enables a decision procedure to reason about how much detail to ...

Information Retrieval (IR) systems provide users with a magnitude of information. Complex information needs of users result normally in entire online search sessions that can not be reduced to a singular query. During such sessions complex search ...

The involvement of geographic information differentiates point-of-interest recommendation from traditional product recommendation. This geographic influence is usually manifested in the effect of users tending toward visiting nearby locations, but ...

Players of online games generate rich behavioral data during gaming. Based on these data, game developers can build a range of data science applications, such as bot detection and social recommendation, to improve the gaming experience. However, the ...