Katrien Verbert

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 134

Top Venues

CoRR

IUI

LAK

IEEE Trans. Learn. Technol.

Publications

Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Representation Debiasing of Generated Data Involving Domain Experts. UMAP (Adjunct Publication) (2024)
Aditya Bhattacharya, Katrien Verbert
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability. UMAP (Adjunct Publication) (2024)
Wout Vossen, Maxwell Szymanski, Katrien Verbert
The effect of personalizing a psychotherapy conversational agent on therapeutic bond and usage intentions. IUI (2024)
Diego Rojo, Houda Lamqaddam, Lucija Gosak, Katrien Verbert
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication. CoRR (2024)
Sohum Mandar Bhatt, Wim van den Noortgate, Katrien Verbert
Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems. IEEE Trans. Learn. Technol. 17 (2024)
Maxwell Szymanski, Jeroen Ooge, Robin De Croon, Vero Vanden Abeele, Katrien Verbert
Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI. LAK (2024)
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
Representation Debiasing of Generated Data Involving Domain Experts. CoRR (2024)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. CoRR (2024)
Jeroen Ooge, Joran De Braekeleer, Katrien Verbert
Nudging Adolescents Towards Recommended Maths Exercises with Gameful Rewards. AIED (2) (2024)
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. CoRR (2024)
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. UMAP (Adjunct Publication) (2024)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. CHI (2024)
Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert
Designing and Evaluating Explanations for a Predictive Health Dashboard: A User-Centred Case Study. CHI Extended Abstracts (2024)
Houda Lamqaddam, Rudy Jos Beerens, Koenraad Brosens, Bruno Cardoso, Inez De Prekel, Frederik Truyen, Katlijne Van der Stighelen, Katrien Verbert, Margherita Fantoli
From Tapestry to Data Visualisation: Networks of Collaboration in Project Cornelia. DH (2023)
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. CoRR (2023)
Jeroen Ooge, Leen Dereu, Katrien Verbert
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms. CoRR (2023)
Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra, Katrien Verbert
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI. CoRR (2023)
Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. IntRS@RecSys (2023)
Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra, Katrien Verbert
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI. xAI (3) (2023)
Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform. CoRR (2023)
Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. IUI (2023)
Georgia Panagiotidou, Houda Lamqaddam, Jeroen Poblome, Koenraad Brosens, Katrien Verbert, Andrew Vande Moere
Communicating Uncertainty in Digital Humanities Visualization Research. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste
Daily Pain Prediction in Workplace Using Gaussian Processes. HEALTHINF (2023)
Jeroen Ooge, Leen Dereu, Katrien Verbert
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms. IUI (2023)
Houda Lamqaddam, Inez De Prekel, Koenraad Brosens, Katrien Verbert
Perceptual Effects of Hierarchy in Art Historical Social Networks. CoRR (2022)
Francisco Gutiérrez, Nyi Nyi Htun, Vero Vanden Abeele, Robin De Croon, Katrien Verbert
Explaining Call Recommendations in Nursing Homes: a User-Centered Design Approach for Interacting with Knowledge-Based Health Decision Support Systems. IUI (2022)
Oscar Alvarado, Nyi Nyi Htun, Yucheng Jin, Katrien Verbert
A Systematic Review of Interaction Design Strategies for Group Recommendation Systems. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Oscar Alvarado, Vero Vanden Abeele, David Geerts, Katrien Verbert
Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Houda Lamqaddam, Inez De Prekel, Koenraad Brosens, Katrien Verbert
Perceptual Effects of Hierarchy in Art Historical Social Networks. Digit. Humanit. Q. 16 (1) (2022)
Katrien Verbert
Designing Learning Analytics Dashboards: Lessons Learned. CSEDU (1) (2022)
Oscar Alvarado, Nyi Nyi Htun, Yucheng Jin, Katrien Verbert
A Systematic Review of Interaction Design Strategies for Group Recommendation Systems. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Oscar Alvarado, Vero Vanden Abeele, David Geerts, Katrien Verbert
Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Jeroen Ooge, Gregor Stiglic, Katrien Verbert
Explaining artificial intelligence with visual analytics in healthcare. WIREs Data Mining Knowl. Discov. 12 (1) (2022)
Jeroen Ooge, Katrien Verbert
Explaining Artificial Intelligencewith Tailored Interactive Visualisations. IUI Companion (2022)
Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert
Explaining Health Recommendations to Lay Users: The Dos and Dont's. IUI Workshops (2022)
Ronald Pérez-Álvarez, Ioana Jivet, Mar Pérez-Sanagustín, Maren Scheffel, Katrien Verbert
Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review. IEEE Trans. Learn. Technol. 15 (4) (2022)
Martijn Millecamp, Cristina Conati, Katrien Verbert
"Knowing me, knowing you": personalized explanations for a music recommender system. User Model. User Adapt. Interact. 32 (1-2) (2022)
Jeroen Ooge, Shotallo Kato, Katrien Verbert
Explaining Recommendations in E-Learning: Effects on Adolescents' Trust. IUI (2022)
Po-Kai Yang, Oscar Luis Alvarado Rodriguez, Francisco Gutiérrez, Katrien Verbert
Touching the Explanations: Explaining Movie Recommendation Scores in Mobile Augmented Reality. AIVR (2022)
Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele
Designing and evaluating explainable AI for non-AI experts: challenges and opportunities. RecSys (2022)
Jeroen Ooge, Katrien Verbert
Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise. CoRR (2021)
Robbe Kimpen, Robin De Croon, Vero Vanden Abeele, Katrien Verbert
Towards Predicting Hexad User Types from Mobile Banking Data: An Expert Consensus Study. CHI PLAY (2021)
Nyi Nyi Htun, Elisa Lecluse, Katrien Verbert
Perception of Fairness in Group Music Recommender Systems. IUI (2021)
Oscar Alvarado, Vero Vanden Abeele, David Geerts, Francisco Gutiérrez, Katrien Verbert
Exploring Tangible Algorithmic Imaginaries in Movie Recommendations. TEI (2021)
Houda Lamqaddam, Andrew Vande Moere, Vero Vanden Abeele, Koenraad Brosens, Katrien Verbert
Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research. IEEE Trans. Vis. Comput. Graph. 27 (2) (2021)
Diego Rojo, Nyi Nyi Htun, Denis Parra, Robin De Croon, Katrien Verbert
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models. CoRR (2021)
Martijn Millecamp, Toon Willemot, Katrien Verbert
Your Eyes Explain Everything: Exploring the Use of Eye Tracking to Provide Explanations On-the-fly. IntRS@RecSys (2021)
Maxwell Szymanski, Martijn Millecamp, Katrien Verbert
Visual, textual or hybrid: the effect of user expertise on different explanations. IUI (2021)
Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert
RecSys in HR: Workshop on Recommender Systems for Human Resources. RecSys (2021)
Robin De Croon, Artuur Leeuwenberg, Jan Aerts, Marie-Francine Moens, Vero Vanden Abeele, Katrien Verbert
TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports. IUI Companion (2021)
Raphael A. Dourado, Rodrigo Lins Rodrigues, Nivan Ferreira, Rafael Ferreira Mello, Alex Sandro Gomes, Katrien Verbert
A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning. LAK (2021)
Robin De Croon, Jonas Geuens, Katrien Verbert, Vero Vanden Abeele
A Systematic Review of the Effect of Gamification on Adherence Across Disciplines. HCI (28) (2021)
David Graus, Toine Bogers, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert
Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021. SIGIR Forum 55 (2) (2021)
Diego Rojo, Nyi Nyi Htun, Denis Parra, Robin De Croon, Katrien Verbert
AHMoSe: A knowledge-based visual support system for selecting regression machine learning models. Comput. Electron. Agric. 187 (2021)
Martijn Millecamp, Cristina Conati, Katrien Verbert
Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface. IUI Workshops (2021)
Francisco Gutiérrez, Karsten Seipp, Xavier Ochoa, Katherine Chiluiza, Tinne De Laet, Katrien Verbert
LADA: A learning analytics dashboard for academic advising. Comput. Hum. Behav. 107 (2020)
Oscar Alvarado, Elias Storms, David Geerts, Katrien Verbert
Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities. NordiCHI (2020)
Pedro J. Muñoz-Merino, Carlos Delgado Kloos, Yi-Shan Tsai, Dragan Gasevic, Katrien Verbert, Mar Pérez-Sanagustín, Isabel Hilliger, Miguel Ángel Zúñiga Prieto, Margarita Ortiz-Rojas, Eliana Scheihing
An Overview of the LALA project (invited paper). LAUR@EC-TEL (2020)
Tom Broos, Martijn Millecamp, Katrien Verbert, Tinne De Laet
Card-based approach to coordinate Learning Analytics policymaking and implementation at scale. EC-TEL (Impact Papers) (2020)
Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele, Andreas Breiter, Katrien Verbert
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube. CoRR (2020)
Tinne De Laet, Martijn Millecamp, Margarita Ortiz-Rojas, Alberto Jimenez, Ricardo Maya, Katrien Verbert
Adoption and impact of a learning analytics dashboard supporting the advisor - Student dialogue in a higher education institute in Latin America. Br. J. Educ. Technol. 51 (4) (2020)
Julio Guerra, Margarita Ortiz-Rojas, Miguel Ángel Zúñiga Prieto, Eliana Scheihing, Alberto Jiménez, Tom Broos, Tinne De Laet, Katrien Verbert
Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities. Br. J. Educ. Technol. 51 (4) (2020)
Tom Broos, Isabel Hilliger, Mar Pérez-Sanagustín, Nyi Nyi Htun, Martijn Millecamp, Paola Pesantez-Cabrera, Lizandro D. Solano-Quinde, Lorena Siguenza-Guzman, Miguel Zúñiga-Prieto, Katrien Verbert, Tinne De Laet
Coordinating learning analytics policymaking and implementation at scale. Br. J. Educ. Technol. 51 (4) (2020)
Katrien Verbert, Xavier Ochoa, Robin De Croon, Raphael A. Dourado, Tinne De Laet
Learning analytics dashboards: the past, the present and the future. LAK (2020)
Jeroen Ooge, Robin De Croon, Katrien Verbert, Vero Vanden Abeele
Tailoring Gamification for Adolescents: a Validation Study of Big Five and Hexad in Dutch. CHI PLAY (2020)
Gayane Sedrakyan, Jonna Malmberg, Katrien Verbert, Sanna Järvelä, Paul A. Kirschner
Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation. Comput. Hum. Behav. 107 (2020)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
Interpretability of machine learning-based prediction models in healthcare. WIREs Data Mining Knowl. Discov. 10 (5) (2020)
Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar
Interpretability of machine learning based prediction models in healthcare. CoRR (2020)
Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele, Andreas Breiter, Katrien Verbert
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube. Proc. ACM Hum. Comput. Interact. 4 (CSCW2) (2020)
Martijn Millecamp, Robin Haveneers, Katrien Verbert
Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System. UMAP (2020)
Robin De Croon, Francisco Gutiérrez, Rachel Berry, Siân Astley, Katrien Verbert, Vero Vanden Abeele
Motivational design techniques to support healthy eating habits at work. ICHI (2020)
Diego Rojo, Nyi Nyi Htun, Katrien Verbert
GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models. EuroVis (Short Papers) (2020)
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces. UMAP (2020)
Leen Van Houdt, Martijn Millecamp, Katrien Verbert, Vero Vanden Abeele
Disambiguating Preferences for Gamification Strategies to Motivate Pro-Environmental Behaviour. CHI PLAY (2020)
Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, Katrien Verbert
Effects of personal characteristics in control-oriented user interfaces for music recommender systems. User Model. User Adapt. Interact. 30 (2) (2020)
Luciana Monteiro Krebs, Oscar Luis Alvarado Rodriguez, Pierre Dewitte, Jef Ausloos, David Geerts, Laurens Naudts, Katrien Verbert
Tell Me What You Know: GDPR Implications on Designing Transparency and Accountability for News Recommender Systems. CHI Extended Abstracts (2019)
Sven Charleer, Francisco Gutiérrez, Katrien Verbert
Supporting job mediator and job seeker through an actionable dashboard. IUI (2019)
Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert
To explain or not to explain: the effects of personal characteristics when explaining music recommendations. IUI (2019)
Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. CIKM (2019)
Francisco Gutiérrez, Xavier Ochoa, Karsten Seipp, Tom Broos, Katrien Verbert
Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users. INTERACT (2) (2019)
Robin De Croon, Alemitu Mequanint Bezabih, Jonas Geuens, Davina Wildemeersch, Dries Oeyen, Katrien Verbert, Vero Vanden Abeele
Motivational Design Techniques to Increase Adherence to a Telemonitoring Therapy A Study with Adolescent Pectus Patients. ICHI (2019)
Francisco Gutiérrez, Nyi Nyi Htun, Sven Charleer, Robin De Croon, Katrien Verbert
Designing Augmented Reality Applications for Personal Health Decision-Making. HICSS (2019)
Yucheng Jin, Nyi Nyi Htun, Nava Tintarev, Katrien Verbert
ContextPlay: Evaluating User Control for Context-Aware Music Recommendation. UMAP (2019)
Bruno De Lemos Ribeiro Pinto Cardoso, Gayane Sedrakyan, Francisco Gutiérrez, Denis Parra, Peter Brusilovsky, Katrien Verbert
IntersectionExplorer, a multi-perspective approach for exploring recommendations. Int. J. Hum. Comput. Stud. 121 (2019)
Gayane Sedrakyan, Erik Mannens, Katrien Verbert
Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts. J. Comput. Lang. 50 (2019)
Martijn Millecamp, Katrien Verbert
Personal user interfaces for recommender systems. IUI Companion (2019)
Martijn Millecamp, Sidra Naveed, Katrien Verbert, Jürgen Ziegler
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains. IntRS@RecSys (2019)
Oscar Alvarado, Vero Vanden Abeele, David Geerts, Katrien Verbert
"I Really Don't Know What 'Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms. INTERACT (3) (2019)
Francisco Gutiérrez, Nyi Nyi Htun, Florian Schlenz, Aikaterini Kasimati, Katrien Verbert
A review of visualisations in agricultural decision support systems: An HCI perspective. Comput. Electron. Agric. 163 (2019)
Karsten Seipp, Francisco Gutiérrez, Xavier Ochoa, Katrien Verbert
Towards a visual guide for communicating uncertainty in Visual Analytics. J. Comput. Lang. 50 (2019)
Francisco Gutiérrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert
Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems. RecSys (2019)
Karsten Gielis, Katrien Verbert, Jos Tournoy, Vero Vanden Abeele
Age? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games. CHI PLAY (2019)
Martijn Millecamp, Francisco Gutiérrez, Sven Charleer, Katrien Verbert, Tinne De Laet
A qualitative evaluation of a learning dashboard to support advisor-student dialogues. LAK (2018)
Francisco Gutiérrez, Katrien Verbert, Nyi Nyi Htun
PHARA: an augmented reality grocery store assistant. MobileHCI Adjunct (2018)
Robin De Croon, Davina Wildemeersch, Joris Wille, Katrien Verbert, Vero Vanden Abeele
Gamification and Serious Games in a Healthcare Informatics Context. ICHI (2018)
Yucheng Jin, Nava Tintarev, Katrien Verbert
Effects of personal characteristics on music recommender systems with different levels of controllability. RecSys (2018)
Sven Charleer, Kathrin Gerling, Francisco Gutiérrez, Hans Cauwenbergh, Bram Luycx, Katrien Verbert
Real-Time Dashboards to Support eSports Spectating. CHI PLAY (2018)
Robert G. Bodily, Judy Kay, Vincent Aleven, Ioana Jivet, Dan Davis, Franceska Xhakaj, Katrien Verbert
Open learner models and learning analytics dashboards: a systematic review. LAK (2018)
Sven Charleer, Andrew Vande Moere, Joris Klerkx, Katrien Verbert, Tinne De Laet
Learning Analytics Dashboards to Support Adviser-Student Dialogue. IEEE Trans. Learn. Technol. 11 (3) (2018)
Houda Lamqaddam, Jan Aerts, Koenraad Brosens, Katrien Verbert
NAHR: a visual representation of social networks as support for art history research. NordiCHI (2018)

Katrien Verbert.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Katrien Verbert