| 2026 | IUI | Beyond data-centric explanations for mental healthcare professionals. | Dries Van Dievoort, Maxwell Szymanski, Robin De Croon, Vero Vanden Abeele, Katrien Verbert |
| 2025 | LAK | Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection. | Jeroen Ooge, Arno Vanneste, Maxwell Szymanski, Katrien Verbert |
| 2024 | CHI | Designing and Evaluating Explanations for a Predictive Health Dashboard: A User-Centred Case Study. | Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert |
| 2024 | IUI | The effect of personalizing a psychotherapy conversational agent on therapeutic bond and usage intentions. | Wout Vossen, Maxwell Szymanski, Katrien Verbert |
| 2024 | LAK | Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI. | Maxwell Szymanski, Jeroen Ooge, Robin De Croon, Vero Vanden Abeele, Katrien Verbert |
| 2022 | IUI | Explaining Health Recommendations to Lay Users: The Dos and Dont's. | Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert |
| 2022 | RecSys | Designing and evaluating explainable AI for non-AI experts: challenges and opportunities. | Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele |
| 2021 | IUI | Visual, textual or hybrid: the effect of user expertise on different explanations. | Maxwell Szymanski, Martijn Millecamp, Katrien Verbert |