Maxwell Szymanski

According to our database, Maxwell Szymanski authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Designing and Personalising Hybrid Health Explanations for Lay Users.

Maxwell Szymanski, Stijn Keyaerts, Cristina Conati, Robin De Croon, Vero Vanden Abeele, Katrien Verbert

ACM Trans. Interact. Intell. Syst., March, 2026

CAPTURE: A Visual-Conversational Dashboard for Supporting User-Driven Explanations in a Job-Candidate Matching Algorithm.

Yizhe Zhang, Robin De Croon, Maxwell Szymanski, Katrien Verbert

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

GeneticPuzzle: a Mobile Psychoeducational Tool to Support Families Affected by 22q11.2 Deletion Syndrome.

Maxwell Szymanski, Robin De Croon, Marie Meuris, Ann Swillen, Katrien Verbert

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

Beyond data-centric explanations for mental healthcare professionals.

Dries Van Dievoort, Maxwell Szymanski, Robin De Croon, Vero Vanden Abeele, Katrien Verbert

Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

2025

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare.

Ivania Donoso-Guzmán, Kristýna Sirka Kacafírková, Maxwell Szymanski, An Jacobs, Denis Parra, Katrien Verbert

CoRR, June, 2025

Granular Feedback: Leveraging Domain Expertise and Explainable AI to Effectively Steer Models.

Maxwell Szymanski, John C. Stamper, Vero Vanden Abeele, Katrien Verbert

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Disentangling Stakeholder Role and Expertise in User-Centered Explainable AI.

Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert

Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization, 2025

Designing Visual Explanations and Learner Controls to Engage Adolescents in AI-Supported Exercise Selection.

Jeroen Ooge, Arno Vanneste, Maxwell Szymanski, Katrien Verbert

Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025

2024

Gamifying a Chronic Pain Management mHealth Intervention: Do's and Don'ts.

Maxwell Szymanski, Leen Van Houdt, Robin De Croon, Katrien Verbert, Vero Vanden Abeele

Proceedings of the Pervasive Computing Technologies for Healthcare, 2024

Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI.

Maxwell Szymanski, Jeroen Ooge, Robin De Croon, Vero Vanden Abeele, Katrien Verbert

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

The effect of personalizing a psychotherapy conversational agent on therapeutic bond and usage intentions.

Wout Vossen, Maxwell Szymanski, Katrien Verbert

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Designing and Evaluating Explanations for a Predictive Health Dashboard: A User-Centred Case Study.

Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users.

Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert

Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Daily Pain Prediction in Workplace Using Gaussian Processes.

Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Designing and evaluating explainable AI for non-AI experts: challenges and opportunities.

Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Explaining Health Recommendations to Lay Users: The Dos and Dont's.

Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert

Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

2021

Visual, textual or hybrid: the effect of user expertise on different explanations.

Maxwell Szymanski, Martijn Millecamp, Katrien Verbert

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021