I have published research papers about explainable artificial intelligence, visual analytics, and gamification at international conferences and in scientific journals. Filter on your favourite topics with the buttons below.
AIED 2024: "Nudging Adolescents Towards Recommended Maths Exercises With Gameful Rewards"
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Gamification
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This paper for the AIED 2024 conference is an outcome of the master's thesis by Joran De Braekeleer, which I guided and Katrien Verbert supervised. We studied how gamification can be used to nudge adolescents towards recommended exercises on a mobile app for practising math equations.
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PhD thesis: "Explaining Artificial Intelligence With Tailored Interactive Visualisations"
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Explainable AI
Visual Analytics
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My PhD thesis focuses on human-centred explainable AI and presents 5 studies on how explainability can be established through visual analytics, visualisation-supported justification, and visualisation-supported control.
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IUI 2023: "Steering Recommendations and Visualising Its Impact: Effects on Adolescents’ Trust in E-Learning Platforms"
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Explainable AI
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My paper with Leen Dereu for the IUI 2023 conference. It is based on Leen's master's thesis on a steering mechanism for recommended exercises. We studied how a control mechanism and a visualisation that depicts the control's impact affected adolescents' trust in a platform that recommends mathematics exercises.
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Agriculture 2022: "Visually Explaining Uncertain Price Predictions in Agrifood: A User-Centred Case-Study"
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Explainable AI
Visual Analytics
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My journal paper for Agriculture presents a prototypical visual decision support system that incorporates price prediction, uncertainty, and visual analytics techniques. Interviews and questionnaires suggest that user-centred approaches are key for increasing the uptake of visual decision support systems in agrifood.
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IUI 2022: "Explaining Recommendations in E-Learning: Effects on Adolescents' Trust"
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Explainable AI
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My work with Shotallo Kato for the IUI 2022 conference, based on Shotallo's master's thesis. We studied the impact of explanations on adolescents' trust in a platform that recommends maths exercises.
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WIREs 2021: "Explaining artificial intelligence with visual analytics in healthcare"
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Explainable AI
Visual Analytics
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My advanced review for WIREs Data Mining and Knowledge Discovery. It presents current approaches in healthcare for explaining artificial intelligence algorithms with visual analytics.
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TREX 2021: "Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise"
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Visual Analytics
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My paper for the TREX workshop at the IEEE VIS 2021 conference. It is about how domain expertise influences people's trust in prediction models.
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Practicing the right math: Enhancing trust in an e-learning platform using an explainable recommender system
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Explainable AI
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A summary of Shotallo Kato's master's thesis, which I guided. The research focused on how explanations for recommended exercises affect adolescents' trust in a mathematics educational platform.
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Uncertainty-aware price prediction: Trust and understandability
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Visual Analytics
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Summary of my contribution to the EU BigDataGrapes project. I created a dashboard that visualises product prices, predicted prices, and uncertainty in the predictions.
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CHI PLAY 2020: "Tailoring Gamification for Adolescents: a Validation Study of Big Five and Hexad in Dutch"
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Gamification
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My first published paper, presented at the CHI PLAY 2020 conference. The analysis is based on the data that I collected for my Applied Informatics master's thesis.
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Master's thesis: "Personalising motivational strategies and gamification techniques with recommender systems"
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Gamification
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In my Applied Informatics master's thesis, I studied the impact of tailored gamification in the scope of mathematical education. This article summarises my research.
