Martijn Willemsen Martijn Willemsen researches the cognitive aspects of Human-Technology Interaction, with a strong focus on judgment and decision making in online environments. His applied research focuses on how online decisions can be supported by recommender systems, and includes domains such as movies, health related decisions and energy-saving measures. From a more theoretical perspective, he has a special interest in process tracing technologies to capture and analyze in detail information processing of decision makers.

Publications in peer-reviewed journals and book chapters

  • Ferro, N., Fuhr, N., Grefenstette, G., Konstan, J. A., Castells, P., Daly, E. M., ... Zobel, J. (Eds.) (2018). From evaluating to forecasting performance: how to turn information retrieval, natural language processing and recommender systems into predictive sciences: Manifesto from Dagstuhl Perspectives Workshop 17442. Dagstuhl Manifestos, 7(1), 96-139. DOI: 10.4230/DagMan.7.1.96
  • Felfernig, A., & Willemsen, M. C. (2018). Handling preferences. In Group Recommender Systems (pp. 91-103). (SpringerBriefs in Electrical and Computer Engineering book series). Dordrecht: Springer. DOI: 10.1007/978-3-319-75067-5_5
  • Schulte-Mecklenbeck, M., Johnson, J. G., Böckenholt, U., Goldstein, D. G., Russo, J. E., Sullivan, N. J., & Willemsen, M. C. (2017). Process-tracing methods in decision making: on growing up in the 70s. Current Directions in Psychological Science, 26(5), 442-450. DOI:10.1177/0963721417708229
  • Knijnenburg, B.P., & Willemsen, M.C. (2016). Inferring Capabilities of Intelligent Agents from Their External Traits. ACM Transactions on Interactive Intelligent Systems (TiiS) vol. 6 (4), 1-25. free access via ACM
  • Willemsen, M.C., Graus, M.P, & Knijnenburg, B.P. (2016). Understanding the role of latent feature diversification on choice difficulty and satisfaction. User Modeling and User-Adapted Interaction (UMUAI), vol 26 (4), 347-389 doi:10.1007/s11257-016-9178-6
  • Knijnenburg, B. P., & Willemsen, M. C. (2015). Evaluating Recommender Systems with User Experiments. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 309–352). Springer US.link to springer
  • Jameson, A., Willemsen, M. C., Felfernig, A., Gemmis, M. de, Lops, P., Semeraro, G., & Chen, L. (2015). Human Decision Making and Recommender Systems. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (pp. 611–648). Springer US. link to Springer
  • Knijnenburg, B.P., Willemsen, M.C., Gantner, Z., Soncu, H., Newell, C. (2012). Explaining the User Experience of Recommender Systems. User Modeling and User-Adapted Interaction (UMUAI), vol 22, p. 441-504, open access
  • Willemsen, M.C., Böckenholt, U. & Johnson, E.J. (2011). Choice by value encoding and value construction : processes of loss aversion. Journal of Experimental Psychology. General vol. 140, no. 3, p. 303-324, http://dx.doi.org/10.1037/a0023493
  • Willemsen, M.C. & Johnson, E.J. (2011). Visiting the decision factory : observing cognition with MouselabWEB and other information acquisition methods. In M Schulte-Mecklenbeck, A. Kühberger & R. Ranyard (Eds.), A handbook of process tracing methods for decision research : a critical review and user’s guide. (pp. 19-42) New York: Psychology Press.
  • Keren, G.B., Willemsen, M.C. (2009). Decision anomalies, experimenter assumptions, and participants' comprehension : revaluating the uncertainty effect. Journal of Behavioral Decision Making, 22(3), 301-317.
  • Johnson, E.J., Schulte-Mecklenbeck, M., & Willemsen, M.C. (2008). Process models deserve process data: Comment on Brandstätter, Gigerenzer, and Hertwig (2006), Psychological Review, 115, 263-272
  • Johnson, E.J., Schulte-Mecklenbeck, M., & Willemsen, M.C. (2008). Postscript: Rejoinder to Brandstätter, Gigerenzer, and Hertwig (2008), Psychological Review, 115, 272-273
  • Willemsen, M.C. & Keren, G. (2004). The role of negative features in joint and separate evaluation, Journal of Behavioral Decision making, 17, 313-329
  • Willemsen, M.C. & Keren, G. (2003). The meaning of indifference in choice behavior: Asymmetries in adjustments embodied in matching, Organizational Behavior and Human Decision Processes, 90, 342-359
  • Willemsen, M.C., & Keren, G. (2002). Negative-based prominence: The role of negative features in matching and choice. Organizational Behavior and Human Decision Processes, 88, 643-666
  • Willemsen, M.C. (2002). Explaining asymmetries in preference elicitation: The role of negative attributes in judgment and choice. Ph.D.Dissertation. University of Technology, Eindhoven.[full text book - pdf]
  • Ridder, H. de & Willemsen, M.C. (2000). Percentage scaling: a new method for evaluating multiply impaired images. Proceedings of SPIE, vol. 3959

Publications in peer-reviewed conference proceedings

  • Rutjes, H., & Willemsen, M. C., & IJsselsteijn, W. A. (2019). Beyond behavior: the coach’s perspective on technology in health coaching. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems [670] New York: Association for Computing Machinery, Inc. DOI: 10.1145/3290605.3300900 free access via ACM
  • Liang, Y., & Willemsen, M. C. (2019). Personalized recommendations for music genre exploration. In ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (pp. 276-284). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3320435.3320455 free access via ACM
  • Schäfer, H., & Willemsen, M. C. (2019). Rasch-based tailored goals for nutrition assistance systems. In Proceedings of the 24th International Conference on Intelligent User Interfaces (pp. 18-29). New York, NY, USA: ACM/IEEE. DOI: 10.1145/3301275.3302298 free access via ACM
  • Zhao, Q., Willemsen, M. C., Adomavicius, G., Maxwell Harper, F., & Konstan, J. A. (2018). Interpreting user inaction in recommender systems. In RecSys 2018 - 12th ACM Conference on Recommender Systems (pp. 40-48). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3240323.3240366 free access via ACM
  • Taijala, T. T., Willemsen, M. C., & Konstan, J. A. (2018). MovieExplorer: building an interactive exploration tool from ratings and latent taste spaces. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing, SAC 2018 (pp. 1383-1392). New York: Association for Computing Machinery, Inc. DOI: 10.1145/3167132.3167281 free access via ACM
  • Rutjes, H., Willemsen, M. C., van Kollenburg, J., Bogers, S., & IJsselsteijn, W. A. (2017). Benefits and costs of patient generated data, from the clinician’s and patient’s perspective. In PervasiveHealth '17 Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare (pp. 436-439 ). Association for Computing Machinery, Inc. DOI: 10.1145/3154862.3154920 free access via ACM
  • Starke, A., Willemsen, M., & Snijders, C. (2017). Effective User Interface Designs to Increase Energy-efficient Behavior in a Rasch-based Energy Recommender System. In Proceedings of the Eleventh ACM Conference on Recommender Systems (pp. 65–73). New York, NY, USA: ACM. free access via ACM
  • Zhao, Q., Adomavicius, G., Harper, F. M., Willemsen, M., & Konstan, J. A. (2017). Toward Better Interactions in Recommender Systems: Cycling and Serpentining Approaches for Top-N Item Lists. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (pp. 1444–1453). New York, NY, USA: ACM. free access via ACM
  • Ekstrand, M. D. & Willemsen, M.C. (2016). Behaviorism is Not Enough: Better Recommendations through Listening to Users. Accepted by the 10th ACM conference on Recommender Systems, September 2016 free access via ACM
  • Radha, M., Willemsen, M.C., Boerhof, M. & IJsselsteijn, W.A. (2016). Feasibility-Tailored Recommendations for Blood Pressure Management, User modeling, adaptation and personalization : 24rd International Conference, UMAP 2016, Halifax, Canada: July 13-16 free access via ACM
  • Graus, M.P. & Willemsen, M.C. (2015). Improving the user experience during cold start through choice-based preference elicitation. In Proceedings of the 9th ACM conference on Recommender systems (pp. 273-276), New York, NY, USA: ACM free access via ACM
  • Graus, M. P., Willemsen, M. C., & Swelsen, K. (2015). Understanding Real-Life Website Adaptations by Investigating the Relations Between User Behavior and User Experience. In F. Ricci, K. Bontcheva, O. Conlan, & S. Lawless (Eds.),User Modeling, Adaptation and Personalization (pp. 350–356). Springer International Publishing. Link to springer
  • Ekstrand, M.D., Harper, F.M., Willemsen, M.C.& Konstan, J.A. (2014). User Perception of Differences in Recommender Algorithms. In Proceedings of the 8th ACM conference on Recommender systems (pp. 161–168). New York, NY, USA: ACM free access via ACM
  • Knijnenburg, B.P., Willemsen, M.C., & Broeders, R.(2014). Smart Sustainability through System Satisfaction: Tailored Preference Elicitation for Energy-saving Recommenders. Full paper accepted to the Americas Conference on Information Systems (AMCIS) manuscript
  • Nguyen, T. T., Kluver, D., Wang, T.-Y., Hui, P.-M., Ekstrand, M. D., Willemsen, M. C., & Riedl, J. (2013). Rating Support Interfaces to Improve User Experience and Recommender Accuracy. In Proceedings of the 7th ACM Conference on Recommender Systems (pp. 149–156). New York, NY, USA: ACM free access via ACM
  • Bollen, D., Graus, M., & Willemsen, M. C. (2012). Remembering the stars?: effect of time on preference retrieval from memory. In Proceedings of the sixth ACM conference on Recommender systems (pp. 217–220). New York, NY, USA: ACM free access via ACM
  • Knijnenburg, B. P., Reijmer, N. J. M., & Willemsen, M. C. (2011). Each to his own: how different users call for different interaction methods in recommender systems. In Proceedings of the fifth ACM conference on Recommender systems (pp. 141–148). New York, NY, USA: ACM. free access via ACM
  • Knijnenburg, B. P., Willemsen, M. C., & Kobsa, A. (2011). A pragmatic procedure to support the user-centric evaluation of recommender systems. In Proceedings of the fifth ACM conference on Recommender systems (pp. 321–324). New York, NY, USA: ACM. free access via ACM
  • Bollen, D., Knijnenburg, B. P., Willemsen, M. C., & Graus, M. (2010). Understanding choice overload in recommender systems. In Proceedings of the fourth ACM conference on Recommender systems - RecSys ’10 (pp. 63–70). Barcelona, Spain. free access via ACM
  • Knijnenburg, B.P. & Willemsen, M.C. (2010). The effect of preference elicitation methods on the user experience of a recommender system. CHI EA '10 : Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems, (pp. 3457-3462). New York: ACM. free access via ACM
  • Knijnenburg, B.P., Willemsen, M.C. & Hirtbach, S. (2010). Receiving recommendations and providing feedback : the user-experience of a recommender system. In F. Buccafurri & G. Semeraro (Eds.), E-Commerce and Web Technologies (11th International Conference, EC-Web 2010, Bilbao, Spain, September 1-3, 2010. Proceedings). (Lecture Notes in Business Information Processing, Vol. 61, pp. 207-216). Bilbao: Springer.
  • Knijnenburg, B.P., Willemsen, M.C. (2009). Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system. 3rd ACM Conference on Recommender Systems, RecSys'09, 23 October - 25 October 2009, New York, NY. (pp. 381-384). (Best short paper award RecSys 2009) free access via ACM

Workshop Publications and descriptions

  • Rutjes, H., Kersten-van Dijk, E. T., Willemsen, M. C., & IJsselsteijn, W. A. (2018). Tell-Tale data: the value of self-tracked data for healthcare professionals. Paper presented at 2018 Short Workshop on Next Steps Towards Long Term Self Tracking", Montreal, Canada. paper
  • Graus, M. P., Willemsen, M. C., & Snijders, C. C. P. (2018). Personalizing a parenting app: parenting-style surveys beat behavioral reading-based models. In A. Said, & T. Komatsu (Eds.), Joint Proceedings of the ACM IUI 2018 Workshops: Tokyo, Japan, March 11, 2018 (CEUR Workshop Proceedings; No. 2068).Link
  • Graus, M.P. & Willemsen, M.C. (2016). Can Trailers Help to Alleviate Popularity Bias in Choice-Based Preference Elicitation? Joint Workshop on Interfaces and Human Decision Making for Recommender Systems at the ACM RecSys 2016 conference, September 15-19, 2016link to paper
  • Rutjes, H., Willemsen, M.C. & IJsselsteijn, W.A. (2016). Understanding Effective Coaching on Healthy Lifestyle by Combining Theory- and Data-driven Approaches CEUR-WS Workshop Proceedings, Vol 1582, 26-29 (Proceedings of the International Workshop on Personalization in Persuasive Technology co-located with the 11th International Conference on Persuasive Technology (PT 2016)) link to paper
  • Starke, A.D., Willemsen, M.C., & Snijders, C.(2015). Saving Energy in 1-D: Tailoring Energy-saving Advice Using a Rasch-based Energy Recommender System. CEUR-WS Workshop Proceedings, Vol. 1533, 5-8. (Proceedings of the 2nd International Workshop on Decision Making and Recommender Systems, Bolzano, Italy, October 22-23, 2015). link to paper
  • Chen, L., de Gemmis, M., Felfernig, A., Lops, P., Ricci, F., Semeraro, G., & Willemsen, M. C. (2013). Workshop on Human Decision Making in Recommender Systems: Decisions@RecSys’13. In Proceedings of the 7th ACM Conference on Recommender Systems (pp. 479–480). New York, NY, USA free access via ACM
  • De Gemmis, M., Felfernig, A., Lops, P., Ricci, F., Semeraro, G., & Willemsen, M. C. (2012). RecSys’12 Workshop on Human Decision Making in Recommender Systems. In Proceedings of the Sixth ACM Conference on Recommender Systems (pp. 347–348). New York, NY, USA: ACM.
  • free access via ACM
  • Willemsen, M.C., Knijnenburg, B.P., Graus, M.P., Velter-Bremmers, L.C.M. & Fu, K. (2011) Using Latent Features Diversification to Reduce Choice Difficulty in Recommendation Lists. CEUR-WS Workshop Proceedings, Vol 811, 14-20 (part of the Workshop on Human Decision Making in Recommender Systems, ACM RecSys 2011 conference, October 26th)http://ceur-ws.org/Vol-811/paper3.pdf
  • Willemsen, M., Bollen, D., & Ekstrand, M. (2011). UCERSTI 2: second workshop on user-centric evaluation of recommender systems and their interfaces. In Proceedings of the fifth ACM conference on Recommender systems (pp. 395–396). New York, NY, USA: ACM free access via ACM