KU Leuven

schoolSchoolbar_chart#423 Global Rank

Total Papers

HCI Rank

#423

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Years Active

Recent Publications

Visual-Conversational Interface for Evidence-Based Explanation of Diabetes Risk Prediction

Healthcare professionals need effective ways to use, understand, and validate AI-driven clinical decision support systems. Existing systems face two key limitations: complex visualizations and a lack of grounding in scientific evidence. We present an integrated decision support system that combines interactive visuali…

CSCW '24Session 1g: Contextualizing Fairness in AI

Articulation Work and Tinkering for Fairness in Machine Learning

The field of fair AI aims to counter biased algorithms through computational modelling. However, it faces increasing criticism for perpetuating the use of overly technical and reductionist methods. As a result, novel approaches appear in the field to address more socially-oriented and interdisciplinary (SOI) perspecti…

UBICOMP '23Mental Health Apps & Online Support Communities +2

Not Only for Contact Tracing: Use of Belgium’s Contact Tracing App among Young Adults

"Many countries developed and deployed contact tracing apps to reduce the spread of the COVID-19 coronavirus. Prior research explored people's intent to install these apps, which is necessary to ensure effectiveness. However, adopting contact tracing apps is not enough on its own, and much less is known about how peop…

CSCW '22Users' Understanding of Algorithms; Users' Understanding of Algorithms

Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms

Artificial Intelligence (AI) supports many of our everyday activities and decisions. However, personalized algorithmic recommendations often produce adverse experiences due to a lack of awareness, control, or transparency. While research has directed solutions on graphical user interfaces (GUIs), there are no explorat…

CSCW '22Online Platforms; Online Platforms

A Systematic Review of Interaction Design Strategies for Group Recommendation Systems

Systems involving artificial intelligence (AI) are protagonists in many everyday activities. Moreover, designers are increasingly implementing these systems for groups of users in various social and cooperative domains. Unfortunately, research on personalized recommendation systems often reports negative experiences d…

CSCW '22Users' Understanding of Algorithms; Users' Understanding of Algorithms

'Transparency is meant for control' and vice versa. Learning from co-designing and evaluating algorithmic news recommenders

Algorithmic systems that recommend content often lack transparency about how they come to their suggestions. One area in which recommender systems are increasingly prevalent is online news distribution. In this paper, we explore how a lack of transparency of (news) recommenders can be tackled by involving users in the…

IUI '22Multilingual & Cross-Cultural Voice Interaction +2

Explaining Recommendations in E-Learning, Effects on Adolescents' Trust

Recommender systems are increasingly supporting explanations to increase trust in their recommendations. However, studies on explaining recommendations typically target adults in low-risk e-commerce or media contexts, and using explanations in e-learning has received little research attention. To address these limits,…

IUI '21AI Ethics, Fairness & Accountability +2

Perception of Fairness in Group Music Recommender Systems

Fairness is an important aspect in group recommender systems (GRSs). They must ensure that potentially diverse preferences of all group members are taken into consideration when providing recommendations. Previous work has proposed a number of conflict elicitation and merging techniques to produce preferable recommend…

CSCW '20UX of AI

Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube

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 algorith…

IUI '18Generative AI (Text, Image, Music, Video) +1

Responsive news summarization for ubiquitous consumption on multiple mobile devices

With the proliferation of online news read on devices ranging from desktops to smart watches, the need for meaningful summaries of long texts is growing. Manual summaries are labour-intensive and cannot be offered for all display sizes, whereas today’s abstracts of most news texts are teasers designed to attract the r…

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https://hci.top/en/institutions/KU%20Leuven?source=all

At a Glance

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KU Leuven

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Belgium · Europe

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Overall Rank

#423

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Active Years

2018-2025

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13 researchers · 1 collaborators

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AI & Machine Learning Interaction

Recommender System UX

Privacy, Security & Trust

Privacy by Design & User Control

Data Visualization & Information Design

Medical & Scientific Data Visualization

Health, Healthcare & Wellbeing

Mental Health Apps & Online Support Communities

Voice Interaction & Conversational Systems

Multilingual & Cross-Cultural Voice Interaction