Katrien Verbert

Katrien Verbert
KU Leuven | ku leuven · Department of Computer Science

About

180
Publications
69,034
Reads
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5,779
Citations
Additional affiliations
January 2013 - present
TU Eindhoven
Position
  • Professor (Assistant)
January 2005 - December 2012
KU Leuven
Position
  • PostDoc Position

Publications

Publications (180)
Article
Full-text available
The rise of ‘big data’ in agrifood has increased the need for decision support systems that harvest the power of artificial intelligence. While many such systems have been proposed, their uptake is limited, for example because they often lack uncertainty representations and are rarely designed in a user-centred way. We present a prototypical visual...
Article
Full-text available
Due to the prominent role of recommender systems in our daily lives, it is increasingly important to inform users why certain items are recommended and personalize these explanations to the user. In this study, we explored how explanations in a music recommender system should be designed to fit the preference of different personal characteristics....
Conference Paper
Full-text available
Artificial intelligence (AI) is becoming ubiquitous in the lives of both researchers and non-researchers, but AI models often lack transparency. To make well-informed and trustworthy decisions based on these models, people require explanations that indicate how to interpret the model outcomes. This paper presents our ongoing research in explainable...
Conference Paper
Full-text available
In the scope of explainable artificial intelligence, explanation techniques are heavily studied to increase trust in recommender systems. However, studies on explaining recommendations typically target adults in e-commerce or media contexts; e-learning has received less research attention. To address these limits, we investigated how explanations a...
Article
Network representation is a crucial topic in historical social network analysis. The debate around their value and connotations, led by humanist scholars, is today more relevant than ever, seeing how common these representations are as support for historical analysis. Force-directed networks, in particular, are popular as they can be developed rela...
Preprint
Full-text available
Network representation is a crucial topic in historical social network analysis. The debate around their value and connotations, led by humanist scholars, is today more relevant than ever, seeing how common these representations are as support for historical analysis. Force-directed networks, in particular, are popular as they can be developed rela...
Article
Traditionally, laboratory practice aims to establish schemas learned by students in theoretical courses through concrete experiences. However, access to laboratories might not always be available to students. Therefore, it is advantageous to diversify the tools that students could use to train practical skills. This technology report describes the...
Article
Full-text available
To make predictions and explore large datasets, healthcare is increasingly applying advanced algorithms of artificial intelligence. However, to make well‐considered and trustworthy decisions, healthcare professionals require ways to gain insights in these algorithms' outputs. One approach is visual analytics, which integrates humans in decision‐mak...
Article
Recommender systems are increasingly used in more high risk application domains, including in the domain of Human Resources (HR). These recommender systems help end-users find relevant vacancies out of an abundant overload of available vacancies, but also support other important objectives such as job mobility. Despite the use in industry applicati...
Article
Background Mild cognitive impairment (MCI), the intermediate cognitive status between normal cognitive decline and pathological decline, is an important clinical construct for signaling possible prodromes of dementia. However, this condition is underdiagnosed. To assist monitoring and screening, digital biomarkers derived from commercial off-the-sh...
Conference Paper
The Hexad user types model is often used in the gamification community to tailor gamified systems. However, most often, it requires users to fill out a questionnaire, preventing an automated adaptation of the interactive system. For this reason, we explored the potential of using mobile banking data to automate the profiling of Hexad user types. In...
Preprint
People's trust in prediction models can be affected by many factors, including domain expertise like knowledge about the application domain and experience with predictive modelling. However, to what extent and why domain expertise impacts people's trust is not entirely clear. In addition, accurately measuring people's trust remains challenging. We...
Conference Paper
Full-text available
People's trust in prediction models can be affected by many factors, including domain expertise like knowledge about the application domain and experience with predictive modelling. However, to what extent and why domain expertise impacts people's trust is not entirely clear. In addition, accurately measuring people's trust remains challenging. We...
Article
Decision support systems have become increasingly popular in the domain of agriculture. With the development of automated machine learning, agricultural experts are now able to train, evaluate and make predictions using cutting edge machine learning (ML) models without the need for much ML knowledge. Although this automated approach has led to succ...
Conference Paper
Full-text available
Systematic reviews of gamification research often focus on effects on motivation and engagement. Fewer studies systematically investigate the effect of gamification on `adherence', the extent to which individuals use a gamified service and experience its content, as envisioned by the creators, to derive a certain benefit. To this end, this paper pr...
Preprint
BACKGROUND Type 2 Diabetes Mellitus (T2DM) is a common cause of mortality worldwide: each year, the chronic disease kills over one million people, making it the ninth leading cause of death. The growing use of smartphone applications (apps) led to focusing on mobile health, which is increasingly oriented towards self-care of T2DM. With smartphone a...
Chapter
Systematic reviews of gamification research often focus on effects on motivation and engagement. Fewer studies systematically investigate the effect of gamification on ‘adherence’, the extent to which individuals use a gamified service and experience its content, as envisioned by the creators, to derive a certain benefit. To this end, this paper pr...
Article
Background Health recommender systems (HRSs) offer the potential to motivate and engage users to change their behavior by sharing better choices and actionable knowledge based on observed user behavior. Objective We aim to review HRSs targeting nonmedical professionals (laypersons) to better understand the current state of the art and identify bot...
Conference Paper
Clinical reports, as unstructured texts, contain important temporal information. However, it remains a challenge for natural language processing (NLP) models to accurately combine temporal cues into a single coherent temporal ordering of described events. In this paper, we present TIEVis, a visual analytics dashboard that visualizes event-timelines...
Conference Paper
Full-text available
In online learning, teachers need constant feedback about their students’ progress and regulation needs. Learning Analytics Dashboards for process-oriented feedback can be a valuable tool for this purpose. However, few such dashboards have been proposed in literature, and most of them lack empirical validation or grounding in learning theories. We...
Article
Full-text available
Background: Mild cognitive impairment (MCI) is a condition that entails a slight yet noticeable decline in cognition that exceeds normal age-related changes. Older adults living with MCI have a higher chance of progressing to dementia, which warrants regular cognitive follow-up at memory clinics. However, due to time and resource constraints, this...
Preprint
Decision support systems have become increasingly popular in the domain of agriculture. With the development of Automated Machine Learning, agricultural experts are now able to train, evaluate and make predictions using cutting edge machine learning (ML) models without the need for much ML knowledge. Although this automated approach has led to succ...
Conference Paper
Full-text available
This exploratory study provides a deeper understanding of employees when they are asked to use a personalized meal recommendation application in the workplace. Motivational design techniques were integrated into 25 alternative designs and evaluated. Our initial results show that participants appreciated the designs and highlighted the importance of...
Conference Paper
Full-text available
Gamification researchers deem adolescents a particularly interesting audience for tailored gamification. However, empirical validation of popular player typologies and personality trait models thus far has been limited to adults. As adolescents exhibit complex behaviours that differ from older adults, these models may need adaptation. To that end,...
Conference Paper
Algorithms are present in many of our everyday activities. However, there is generally low awareness of their presence among users, and there are various conceptualizations to define them. Additionally, algorithms are often both complex and opaque. These characteristics raise challenges when applying co-design activities to the interaction design o...
Article
Full-text available
User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these beliefs is crucial because they influence how users interact with recommendation algorithms. With no prior work on user beliefs of algorithmic video recommendations, prac...
Article
Full-text available
Information visualization (infovis) is a powerful tool for exploring rich datasets. Within humanistic research, rich qualitative data and domain culture make traditional infovis approaches appear reductive and disconnected, leading to low adoption. In this paper, we use a multi-step approach to scrutinize the relationship between infovis and the hu...
Article
Full-text available
There is a need of ensuring that learning (ML) models are interpretable. Higher interpretability of the model means easier comprehension and explanation of future predictions for end‐users. Further, interpretable ML models allow healthcare experts to make reasonable and data‐driven decisions to provide personalized decisions that can ultimately lea...
Preprint
Full-text available
User beliefs about algorithmic systems are constantly co-produced through user interaction and the complex socio-technical systems that generate recommendations. Identifying these beliefs is crucial because they influence how users interact with recommendation algorithms. With no prior work on user beliefs of algorithmic video recommendations, prac...
Article
Full-text available
Open educational resources (OER) can contribute to democratize education by providing effective learning experiences with lower costs. Nevertheless, the massive amount of resources currently available in OER repositories makes it difficult for teachers and learners to find relevant and high‑quality content, which is hindering OER use and adoption....
Article
Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under‐explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three cases,...
Article
This paper presents a case study on the adoption and the impact of new modules in a learning analytics dashboard supporting the dialogue between student advisors and students when advising on a study plan for the next academic semester in Escuela Superior Politecnica del Litoral, a higher education institute in Ecuador. The impact and the adoption...
Article
Many Latin‐American institutions recognise the potential of learning analytics (LA). However, the number of actual LA implementations at scale remains limited, notwithstanding considerable effort made to formulate guidelines and frameworks to support the LA policy development. Guidance on how to coordinate the interaction between the LA policymakin...
Article
Full-text available
Music recommender systems typically offer a “one-size-fits-all” approach with the same user controls and visualizations for all users. However, the effectiveness of interactive interfaces for music recommender systems is likely to be affected by individual differences. In this paper, we first conduct a comprehensive literature review of interactive...
Conference Paper
Learning analytics dashboards are at the core of the LAK vision to involve the human into the decision-making process. The key focus of these dashboards is to support better human sense-making and decision-making by visualising data about learners to a variety of stakeholders. Early research on learning analytics dashboards focused on the use of vi...
Preprint
BACKGROUND Health recommender systems (HRSs) offer the potential to motivate and engage users to change their behavior by sharing better choices and actionable knowledge based on observed user behavior. OBJECTIVE We aim to review HRSs targeting nonmedical professionals (laypersons) to better understand the current state of the art and identify bot...
Article
In this study, we present a case study involving two self-service dashboards providing feedback on learning and study skills and on academic achievement. These dashboards were offered to first-year university students in several study programmes in Flanders, Belgium. Data for this study were collected using usage tracking (N = 2875) and a survey ta...
Conference Paper
Critiquing-based recommender systems aim to elicit more accurate user preferences from users' feedback toward recommendations. However, systems using a graphical user interface (GUI) limit the way that users can critique the recommendation. With the rise of chatbots in many application domains, they have been regarded as an ideal platform to build...
Conference Paper
We report on an exploratory study for assessing cognitive aging based on the acquisition and modeling of player data of commercial off-the-shelf games. To this end, candidates for digital biomarkers of cognitive performance were captured via FreeCell, from three distinctive age groups (18-25, 40-55, 65+) from 52 participants, playing for a total of...
Article
Full-text available
To start medical or dentistry studies in Flanders, prospective students need to pass a central admission test. A blended program with four Small Private Online Courses (SPOCs) was designed to support those students. The logs from the platform provide an opportunity to delve into the learners’ interactions and to develop predictive models to forecas...
Conference Paper
Full-text available
The dynamics of the labor market and the tasks with which jobs are being composed are continuously evolving. Job mobility is not evident, and providing effective recommendations in this context has also been found to be particularly challenging. In this paper, we present Labor Market Explorer, an interactive dashboard that enables job seekers to ex...
Conference Paper
Many of our daily activities and decisions are driven by algorithms. This is particularly evident in our interactions with contemporary cultural content, where recommender algorithms deal with most of their access, production, and distribution. In this context, the Algorithmic Experience (AX) design framework emerged to guide the design of users’ e...
Chapter
Researchers have reported a lack of experience and low graph literacy as significant problems when making visual analytics applications available to a general audience. Therefore, it is fundamental to understand the strengths and weaknesses of different visualizations in the decision-making process. This paper explores the benefits and challenges o...
Article
Decision Support Systems (DSSs) are used in precision agriculture to provide feedback to a variety of stakeholders, including farmers, advisers, researchers and policymakers. However, increments in the amount of data might lead to data quality issues, and as these applications scale into big, real-time monitoring systems the problem gets even more...
Preprint
Full-text available
The most common surgery for pectus patients is associated with severe acute and persistent postoperative pain. It is, therefore, important that patients are adequately monitored after their surgery to prevent the chronification of pain. This paper provides a deeper understanding of young adolescents when they are asked to use a telemonitoring platf...
Conference Paper
The GDPR has a significant impact on the way users interact with technologies, especially the everyday platforms used to personalize news and related forms of information. This paper presents the initial results from a study whose primary objective is to empirically test those platforms' level of compliance with the so-called 'right to explanation'...
Conference Paper
Full-text available
Recommender systems have been increasingly used in online services that we consume daily, such as Facebook, Netflix, YouTube, and Spotify. However, these systems are often presented to users as a "black box", i.e. the rationale for providing individual recommendations remains unexplained to users. In recent years, various attempts have been made to...
Conference Paper
Job mediation services can assist job seekers in finding suitable employment through a personalised approach. Consultation or mediation sessions, supported by personal profile data of the job seeker, help job mediators understand personal situation and requests. Prediction and recommendation systems can directly provide job seekers with possible jo...
Conference Paper
Full-text available
In this Student Consortium submission, I outline the motivation, the current situation and the research questions of my PhD research on user interfaces for interacting with recommender systems, and particularly the interplay of different personal characteristics and different visualisation and interaction techniques.
Article
This paper presents the rationale, genesis, and applications of Project Cornelia, an ongoing computational art history project developed by a cross-disciplinary team at the KU Leuven (University of Leuven). It shares practical perspectives acquired while conceptualizing and unfolding the project and discusses successes as well as challenges and set...
Article
Learning dashboards are known to improve decision-making by visualizing learning processes and helping to track where learning processes evolve as expected and where potential issues (may) occur. Despite the popularity of such dashboards, little is known theoretically on the design principles. Our earlier research reports on the gap between dashboa...
Article
From the perspective of Learning and Educational Technologies, academic advising has been one of the most overlooked aspects of academic support systems, despite being critical for the learning process and final success of students. The majority of higher education institutions provides simple technical support to academic advisers with basic descr...
Conference Paper
Learning object repositories play a crucial role in the distribution of educational content by providing users with access to wide collections of learning objects. Nevertheless, users often have difficulties in locating learning objects of interest from very large repositories. A measure that these repositories can adopt to address this problem is...
Article
This article presents a first step towards the definition of a visual guide for communicating uncertainty which is to fit into existing visualisation frameworks and toolkits. The first entry in our guide is made by a set of visual variables appropriate for representing areal uncertainty in algorithm mechanics. Such visualisations show users how dat...
Conference Paper
eSports matches offer fast-paced entertainment for millions of viewers worldwide, but little is known about how to support a positive viewer experience. One of the key challenges related to popular real-time eSports games (e.g., multiplayer online battle arena games or first-person shooters) is empowering viewers to effectively follow rapid gamepla...