426 citations · 627 across the 19 of their papers we have counts for
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Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak +2
In the realm of interactive machine-learning systems, the provision of explanations serves as a vital aid in the processes of debugging and enhancing prediction models. However, th…
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI
Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra +1
While research on explainable AI (XAI) is booming and explanation techniques have proven promising in many application domains, standardised human-centred evaluation procedures are…
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms
Jeroen Ooge, Leen Dereu, Katrien Verbert
Researchers have widely acknowledged the potential of control mechanisms with which end-users of recommender systems can better tailor recommendations. However, few e-learning envi…
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic +1
Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of…