Percentage scaling: a new method for evaluating multiply impaired images. - Huib de Ridder; Martijn C. Willemsen (Human Vision and Electronic Imaging, 2000)

Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system. - Bart P. Knijnenburg; Martijn C. Willemsen (RecSys, 2009)

The effect of preference elicitation methods on the user experience of a recommender system. - Bart P. Knijnenburg; Martijn C. Willemsen (CHI Extended Abstracts, 2010)

Receiving Recommendations and Providing Feedback: The User-Experience of a Recommender System. - Bart P. Knijnenburg; Martijn C. Willemsen; Stefan Hirtbach (EC-Web, 2010)

Understanding choice overload in recommender systems. - Dirk G. F. M. Bollen; Bart P. Knijnenburg; Martijn C. Willemsen; Mark P. Graus (RecSys, 2010)

Each to his own: how different users call for different interaction methods in recommender systems. - Bart P. Knijnenburg; Niels J. M. Reijmer; Martijn C. Willemsen (RecSys, 2011)

A pragmatic procedure to support the user-centric evaluation of recommender systems. - Bart P. Knijnenburg; Martijn C. Willemsen; Alfred Kobsa (RecSys, 2011)

UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces. - Martijn C. Willemsen; Dirk G. F. M. Bollen; Michael D. Ekstrand (RecSys, 2011)

Remembering the stars?: effect of time on preference retrieval from memory. - Dirk G. F. M. Bollen; Mark P. Graus; Martijn C. Willemsen (RecSys, 2012)

RecSys'12 workshop on human decision making in recommender systems. - Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Francesco Ricci 001; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2012)

Explaining the user experience of recommender systems. - Bart P. Knijnenburg; Martijn C. Willemsen; Zeno Gantner; Hakan Soncu; Chris Newell (User Model. User Adapt. Interact., 2012)

Workshop on human decision making in recommender systems: decisions@RecSys'13. - Li Chen 009; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Francesco Ricci 001; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2013)

Rating support interfaces to improve user experience and recommender accuracy. - Tien T. Nguyen; Daniel Kluver; Ting-Yu Wang; Pik-Mai Hui; Michael D. Ekstrand; Martijn C. Willemsen; John Riedl (RecSys, 2013)

Smart sustainability through system satisfaction: Tailored preference elicitation for energy-saving recommenders. - Bart Piet Knijnenburg; Martijn C. Willemsen; Ron Broeders (AMCIS, 2014)

User perception of differences in recommender algorithms. - Michael D. Ekstrand; F. Maxwell Harper; Martijn C. Willemsen; Joseph A. Konstan (RecSys, 2014)

Saving Energy in 1-D: Tailoring Energy-saving Advice Using a Rasch-based Energy Recommender System. - Alain Starke; Martijn C. Willemsen; Chris Snijders 001 (DMRS, 2015)

Improving the User Experience during Cold Start through Choice-Based Preference Elicitation. - Mark P. Graus; Martijn C. Willemsen (RecSys, 2015)

Understanding Real-Life Website Adaptations by Investigating the Relations Between User Behavior and User Experience. - Mark P. Graus; Martijn C. Willemsen; Kevin Swelsen (UMAP, 2015)

Human Decision Making and Recommender Systems. - Anthony Jameson; Martijn C. Willemsen; Alexander Felfernig; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Li Chen 009 (Recommender Systems Handbook, 2015)

Evaluating Recommender Systems with User Experiments. - Bart P. Knijnenburg; Martijn C. Willemsen (Recommender Systems Handbook, 2015)

Understanding Effective Coaching on Healthy Lifestyle by Combining Theory- and Data-driven Approaches. - Heleen Rutjes; Martijn C. Willemsen; Wijnand A. IJsselsteijn (PPT@PERSUASIVE, 2016)

RecSys'16 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. - Peter Brusilovsky; Alexander Felfernig; Pasquale Lops; John O'Donovan; Giovanni Semeraro; Nava Tintarev; Martijn C. Willemsen (RecSys, 2016)

Behaviorism is Not Enough: Better Recommendations through Listening to Users. - Michael D. Ekstrand; Martijn C. Willemsen (RecSys, 2016)

Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation? - Mark P. Graus; Martijn C. Willemsen (IntRS@RecSys, 2016)

Lifestyle Recommendations for Hypertension through Rasch-based Feasibility Modeling. - Mustafa Radha; Martijn C. Willemsen; Mark Boerhof; Wijnand A. IJsselsteijn (UMAP, 2016)

Inferring Capabilities of Intelligent Agents from Their External Traits. - Bart P. Knijnenburg; Martijn C. Willemsen (ACM Trans. Interact. Intell. Syst., 2016)

Understanding the role of latent feature diversification on choice difficulty and satisfaction. - Martijn C. Willemsen; Mark P. Graus; Bart P. Knijnenburg (User Model. User Adapt. Interact., 2016)

Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. - Qian Zhao; Gediminas Adomavicius; F. Maxwell Harper; Martijn C. Willemsen; Joseph A. Konstan (CSCW, 2017)

Understanding User Preferences and Goals in Recommender Systems. - Martijn C. Willemsen (EnCHIReS@EICS, 2017)

IUI'17 Companion-Workshop Summary for HUMANIZE'17. - Mark P. Graus; Bruce Ferwerda; Markus Schedl; Marko Tkalcic; Martijn C. Willemsen; Panagiotis Germanakos (IUI Companion, 2017)

Benefits and costs of patient generated data, from the clinician's and patient's perspective. - Heleen Rutjes; Martijn C. Willemsen; Janne van Kollenburg; Sander Bogers; Wijnand A. IJsselsteijn (PervasiveHealth, 2017)

RecSys'17 Joint Workshop on Interfaces and Human Decision Making for Recommender Systems. - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Nava Tintarev; Martijn C. Willemsen (RecSys, 2017)

Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System. - Alain Starke; Martijn C. Willemsen; Chris Snijders 001 (RecSys, 2017)

Personalizing a Parenting App: Parenting-Style Surveys Beat Behavioral Reading-Based Models. - Mark P. Graus; Martijn C. Willemsen; Chris Snijders 001 (IUI Workshops, 2018)

Recsys'18 joint workshop on interfaces and human decision making for recommender systems. - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2018)

Interpreting user inaction in recommender systems. - Qian Zhao; Martijn C. Willemsen; Gediminas Adomavicius; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2018)

Movieexplorer: building an interactive exploration tool from ratings and latent taste spaces. - Taavi T. Taijala; Martijn C. Willemsen; Joseph A. Konstan (SAC, 2018)

From Evaluating to Forecasting Performance: How to Turn Information Retrieval, Natural Language Processing and Recommender Systems into Predictive Sciences (Dagstuhl Perspectives Workshop 17442). - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Werner Geyer; Julio Gonzalo; Tsvi Kuflik; Krister Lindén; et al. (Dagstuhl Manifestos, 2018)

The Dagstuhl Perspectives Workshop on Performance Modeling and Prediction. - Nicola Ferro 001; Norbert Fuhr; Gregory Grefenstette; Joseph A. Konstan; Pablo Castells; Elizabeth M. Daly; Thierry Declerck; Michael D. Ekstrand; Werner Geyer; Julio Gonzalo; Tsvi Kuflik; Krister Lindén; et al. (SIGIR Forum, 2018)

Beyond Behavior: The Coach's Perspective on Technology in Health Coaching. - Heleen Rutjes; Martijn C. Willemsen; Wijnand A. IJsselsteijn (CHI, 2019)

IUIoT: intelligent user interfaces for IoT. - Bart P. Knijnenburg; Paritosh Bahirat; Yangyang He; Martijn C. Willemsen; Qizhang Sun; Alfred Kobsa (IUI Companion, 2019)

Rasch-based tailored goals for nutrition assistance systems. - Hanna Schäfer; Martijn C. Willemsen (IUI, 2019)

RecSys '19 joint workshop on interfaces and human decision making for recommender systems. - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2019)

How Playlist Evaluation Compares to Track Evaluations in Music Recommender Systems. - Sophia Hadash; Yu Liang; Martijn C. Willemsen (IntRS@RecSys, 2019)

From preference into decision making: modeling user interactions in recommender systems. - Qian Zhao; Martijn C. Willemsen; Gediminas Adomavicius; F. Maxwell Harper; Joseph A. Konstan (RecSys, 2019)

Personalized Recommendations for Music Genre Exploration. - Yu Liang; Martijn C. Willemsen (UMAP, 2019)

Predicting the Personal-Best Times of Speed Skaters Using Case-Based Reasoning. - Barry Smyth; Martijn C. Willemsen (ICCBR, 2020)

With a little help from my peers: depicting social norms in a recommender interface to promote energy conservation. - Alain D. Starke; Martijn C. Willemsen; Chris Snijders 001 (IUI, 2020)

Interfaces and Human Decision Making for Recommender Systems. - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; John O'Donovan; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2020)

Unpacking the intention-behavior gap in privacy decision making for the internet of things (IoT) using aspect listing. - Qizhang Sun; Martijn C. Willemsen; Bart P. Knijnenburg (Comput. Secur., 2020)

Overlooking Context: How do Defaults and Framing Reduce Deliberation in Smart Home Privacy Decision-Making? - Paritosh Bahirat; Martijn C. Willemsen; Yangyang He; Qizhang Sun; Bart P. Knijnenburg (CHI, 2021)

Interactive Music Genre Exploration with Visualization and Mood Control. - Yu Liang; Martijn C. Willemsen (IUI, 2021)

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Elisabeth Lex; Pasquale Lops; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2021)

The role of preference consistency, defaults and musical expertise in users' exploration behavior in a genre exploration recommender. - Yu Liang; Martijn C. Willemsen (RecSys, 2021)

Using Explanations as Energy-Saving Frames: A User-Centric Recommender Study. - Alain D. Starke; Martijn C. Willemsen; Chris Snijders 001 (UMAP (Adjunct Publication), 2021)

Respecting Human Autonomy in Critical Care Clinical Decision Support. - Monique Hendriks; Martijn C. Willemsen; Francesco Sartor; Jettie Hoonhout (Frontiers Comput. Sci., 2021)

Nudging Healthy Choices in Food Search Through Visual Attractiveness. - Alain D. Starke; Martijn C. Willemsen; Christoph Trattner (Frontiers Artif. Intell., 2021)

Promoting Energy-Efficient Behavior by Depicting Social Norms in a Recommender Interface. - Alain Starke; Martijn C. Willemsen; Chris Snijders 001 (ACM Trans. Interact. Intell. Syst., 2021)

Improving understandability of feature contributions in model-agnostic explainable AI tools. - Sophia Hadash; Martijn C. Willemsen; Chris Snijders 001; Wijnand A. IJsselsteijn (CHI, 2022)

Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2022)

Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences. - Yu Liang; Martijn C. Willemsen (RecSys, 2022)

The Influence of Personal Health Data on the Health Coaching Process. - Heleen Rutjes; Martijn C. Willemsen; Milou Feijt; Wijnand A. IJsselsteijn (Frontiers Big Data, 2022)

Individual and Group Decision Making and Recommender Systems. - Anthony Jameson; Martijn C. Willemsen; Alexander Felfernig (Recommender Systems Handbook, 2022)

Leveraging Large Language Models for Goal-driven Interactive Recommendations. - Alan Said; Martijn C. Willemsen; Leandro Balby Marinho; Itallo Silva (HAI, 2023)

Look and You Will Find It: Fairness-Aware Data Collection through Active Learning. - Hilde J. P. Weerts; Renée Theunissen; Martijn C. Willemsen (IAL@PKDD/ECML, 2023)

Leveraging Large Language Models for Recommendation and Explanation. - Itallo Silva; Alan Said; Leandro Balby Marinho; Martijn C. Willemsen (IntRS@RecSys, 2023)

It Seems Smart, but It Acts Stupid: Development of Trust in AI Advice in a Repeated Legal Decision-Making Task. - Patricia K. Kahr; Gerrit Rooks; Martijn C. Willemsen; Chris C. P. Snijders (IUI, 2023)

10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'23). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2023)

Promoting Music Exploration through Personalized Nudging in a Genre Exploration Recommender. - Yu Liang; Martijn C. Willemsen (Int. J. Hum. Comput. Interact., 2023)

Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. - Christine Bauer 001; Ben Carterette; Nicola Ferro 001; Norbert Fuhr; Joeran Beel; Timo Breuer 002; Charles L. A. Clarke; Anita Crescenzi; Gianluca Demartini; Giorgio Maria Di Nunzio; Laura Dietz; Guglielmo Faggioli; et al. (SIGIR Forum, 2023)

Report on the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) at ACM RecSys 2023. - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (SIGIR Forum, 2023)

The Trust Recovery Journey. The Effect of Timing of Errors on the Willingness to Follow AI Advice. - Patricia K. Kahr; Gerrit Rooks; Chris Snijders 001; Martijn C. Willemsen (IUI, 2024)

Benefits of Human-AI Interaction for Expert Users Interacting with Prediction Models: a Study on Marathon Running. - Heleen Muijlwijk; Martijn C. Willemsen; Barry Smyth; Wijnand A. IJsselsteijn (IUI, 2024)

Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems. - Itallo Silva; Leandro Balby Marinho; Alan Said; Martijn C. Willemsen (IUI, 2024)

11th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'24). - Peter Brusilovsky; Marco de Gemmis; Alexander Felfernig; Marco Polignano; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2024)

Measuring the benefit of increased transparency and control in news recommendation. - Nava Tintarev; Bart P. Knijnenburg; Martijn C. Willemsen (AI Mag., 2024)

Understanding Trust and Reliance Development in AI Advice: Assessing Model Accuracy, Model Explanations, and Experiences from Previous Interactions. - Patricia K. Kahr; Gerrit Rooks; Martijn C. Willemsen; Chris C. P. Snijders (ACM Trans. Interact. Intell. Syst., 2024)

Good Performance Isn't Enough to Trust AI: Lessons from Logistics Experts on their Long-Term Collaboration with an AI Planning System. - Patricia Kahr; Gerrit Rooks; Chris Snijders 001; Martijn C. Willemsen (CHI, 2025)

Benefits of Machine Learning Explanations: Improved Learning in an AI-assisted Sequence Prediction Task. - Yu Liang; Dennis Collaris; Martijn C. Willemsen; Jarke J. van Wijk (IUI, 2025)

Manifesto from Dagstuhl Perspectives Workshop 24352 - Conversational Agents: A Framework for Evaluation (CAFE). - Christine Bauer 001; Li Chen 009; Nicola Ferro 001; Norbert Fuhr; Avishek Anand; Timo Breuer 002; Guglielmo Faggioli; Ophir Frieder; Hideo Joho; Jussi Karlgren; Johannes Kiesel; Bart P. Knijnenburg; et al. (CoRR, 2025)