Publicaties
2024
Wetenschappelijke publicaties
Ungruh, R., Dinnissen, K., Volk, A., Pera, M. S., & Hauptmann, H. (2024). Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders. In RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems https://doi.org/10.1145/3640457.3688102
Hauptmann, H., Trattner, C., & Torkamaan, H. (2024). The 6th International Workshop on Health Recommender Systems. In RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems https://doi.org/10.1145/3640457.3687113
Kwint, E., Marsman, M., Van 'T Veen, A., Hauptmann, H., & Brinkkemper, S. (2024). Design Principles for the Interface of an Automated Medical Reporting System: A User Study in Preoperative Screening. Procedia Computer Science, 239, 1736-1744. https://doi.org/10.1016/j.procs.2024.06.352
Buschek, D., Frommel, J., Hauptmann, H., Heuer, H., & Smits, A. (2024). UCAI 2024: Workshop on User-Centered Artificial Intelligence. In UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 510-512). (UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery . https://doi.org/10.1145/3631700.3658524
Bikakis, N., Papastefanatos, G., Chrysanthis, P. K., Papemmanuil, O., Auber, D., Frey, S., Fujishiro, I., Hauptmann, H., Liu, S., Ma, K. L., Schreck, T., Sedlmair, M., & Sharaf, M. A. (2024). Visualizing, Exploring and Analyzing Big Data: A 6-Year Story. SIGMOD Record, 53(2), 54-57. https://doi.org/10.1145/3685980.3685994
Cromjongh, R., Młocka, M., Akdağ Salah, A. A., Masthoff, J., & Hauptmann, H. (2024). Challenges and Strategies in Personalised Planning Support for University Students with Autism. In UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (pp. 365-373). Association for Computing Machinery . https://doi.org/10.1145/3631700.3664898
Sevastjanova, R., Hauptmann, H., Deterding, S., & El-Assady, M. (2024). Personalized Language Model Selection through Gamified Elicitation of Contrastive Concept Preferences. IEEE Transactions on Visualization and Computer Graphics, 30(8), 5449-5465. https://doi.org/10.1109/TVCG.2023.3296905
2023
Wetenschappelijke publicaties
Leipold, N., Hauptmann, H., Boehm, M., Madenach, M., Lurz, M., Groh, G., Gedrich, K., & Krcmar, H. (2023). Theory-driven Visual Design to Support Reflective Dietary Practice via mHealth: A Design Science Approach. AIS Transactions on Human-Computer Interaction, 15(1), 22-54. https://doi.org/10.17705/1thci.00182
https://dspace.library.uu.nl/bitstream/handle/1874/430284/Theory-driven_Visual_Design_to_Support_Reflective_Dietary_Practice_via_mHealth.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/430284/Theory-driven_Visual_Design_to_Support_Reflective_Dietary_Practice_via_mHealth.pdf?sequence=1
Cau, F. M., Hauptmann, H., Spano, L. D., & Tintarev, N. (2023). Effects of AI and Logic-Style Explanations on Users’ Decisions under Different Levels of Uncertainty. ACM Transactions on Interactive Intelligent Systems, 13(4), 1–42. Article 22. https://doi.org/10.1145/3588320
https://dspace.library.uu.nl/bitstream/handle/1874/434240/3588320.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/434240/3588320.pdf?sequence=1
Jentner, W., Lindholz, G., Hauptmann, H., El-Assady, M., Ma, K.-L., & Keim, D. (2023). Visual Analytics of Co-Occurrences to Discover Subspaces in Structured Data. ACM Transactions on Interactive Intelligent Systems, 13(2), 1-49. Article 10. https://doi.org/10.1145/3579031
Cromjongh, R., Reenen, Q. V., König, L., Kanning, M., Reips, U.-D., Feuchtner, T., & Hauptmann, H. (2023). Group Adapted Avatar Recommendations for Exergames. In UMAP '23 Adjunct: Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 283-290). Association for Computing Machinery . https://doi.org/10.1145/3563359.3597389
https://dspace.library.uu.nl/bitstream/handle/1874/430286/3563359.3597389.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/430286/3563359.3597389.pdf?sequence=1
Cau, F. M., Hauptmann, H., Spano, L. D., & Tintarev, N. (2023). Supporting High-Uncertainty Decisions through AI and Logic-Style Explanations. In IUI '23: Proceedings of the 28th International Conference on Intelligent User Interfaces (pp. 251-263). Association for Computing Machinery . https://doi.org/10.1145/3581641.3584080
https://dspace.library.uu.nl/bitstream/handle/1874/427768/3581641.3584080.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/427768/3581641.3584080.pdf?sequence=1
2022
Wetenschappelijke publicaties
Elsweiler, D., Hauptmann, H., & Trattner, C. (2022). Food Recommender Systems. In F. Ricci, L. Rokach, & B. Shapira (Eds.), Recommender Systems Handbook (3 ed., pp. 871-925). Springer. https://doi.org/10.1007/978-1-0716-2197-4_23
https://dspace.library.uu.nl/bitstream/handle/1874/425599/978_1_0716_2197_4_23.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/425599/978_1_0716_2197_4_23.pdf?sequence=1
Hauptmann, H., Said, A., & Trattner, C. (2022). Research directions in recommender systems for health and well-being. A Preface to the Special Issue. User Modeling and User-Adapted Interaction, 32(5), 781-786. Article 5. https://doi.org/10.1007/s11257-022-09349-4
https://dspace.library.uu.nl/bitstream/handle/1874/424929/s11257_022_09349_4_1_.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/424929/s11257_022_09349_4_1_.pdf?sequence=1
Sevastjanova, R., Kalouli, A.-L., Beck, C., Hauptmann, H., & El-Assady, M. (2022). LMFingerprints: Visual Explanations of Language Model Embedding Spaces through Layerwise Contextualization Scores. Computer Graphics Forum, 41(3), 295-307. https://doi.org/10.1111/cgf.14541
Miller, M., Fürst, D., Hauptmann, H., Keim, D. A., & El‐Assady, M. (2022). Augmenting Digital Sheet Music through Visual Analytics. Computer Graphics Forum, 41(1), 301-316. https://doi.org/10.1111/cgf.14436
Hauptmann, H., Leipold, N., Madenach, M., Wintergerst, M., Lurz, M., Groh, G., Böhm, M., Gedrich, K., & Krcmar, H. (2022). Effects and challenges of using a nutrition assistance system: results of a long-term mixed-method study. User Modeling and User-Adapted Interaction, 32, 923–975. https://doi.org/10.1007/s11257-021-09301-y
2021
Wetenschappelijke publicaties
Sevastjanova, R., Kalouli, A.-L., Beck, C., Schäfer, H., & El-Assady, M. (2021). Explaining Contextualization in Language Models using Visual Analytics. In C. Zong, F. Xia, W. Li, & R. Navigli (Eds.), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (pp. 464-476). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.39
Sperrle, F., Schäfer, H., Keim, D. A., & El-Assady, M. (2021). Learning Contextualized User Preferences for Co-Adaptive Guidance in Mixed-Initiative Topic Model Refinement. Computer Graphics Forum, 40(3), 215-226. Article 3. https://doi.org/10.1111/cgf.14301
2020
Wetenschappelijke publicaties
Holzmann, S. L., Schaefer, H., Groh, G., Plecher, D. A., Klinker, G., Schauberger, G., Hauner, H., & Holzapfel, C. (2020). Effects of the Digital Game "Fit, Food, Fun" on Nutritional Knowledge: A Pilot Study among German Children and Adolescents. Proceedings of the Nutrition Society, 79(OCE2), E525-E525. https://doi.org/10.1017/S0029665120004747
Schäfer, H. J. (2020). Socio-technical systems supporting healthy food decisions.
Furst, D., Miller, M., Keim, D. A., Bonnici, A., Schafer, H., & El-assady, M. (2020). Augmenting Sheet Music with Rhythmic Fingerprints. 14-23. Paper presented at 2020 IEEE 5th Workshop on Visualization for the Digital Humanities (VIS4DH). https://doi.org/10.1109/VIS4DH51463.2020.00007
Said, A., Schäfer, H., Torkamaan, H., & Trattner, C. (2020). Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020). In RecSys '20: Fourteenth ACM Conference on Recommender Systems (pp. 611-612). Association for Computing Machinery . https://doi.org/10.1145/3383313.3411540
Holzmann, S. L., Schäfer, H., Plecher, D. A., Stecher, L., Klinker, G. J., Groh, G., Hauner, H., & Holzapfel, C. (2020). Serious Games for Nutritional Education: Online Survey on Preferences, Motives, and Behaviors Among Young Adults at University. JMIR Serious Games, 8(2), 1-12. Article e16216. https://doi.org/10.2196/16216
Kraus, M., Schäfer, H., Meschenmoser, P., Schweitzer, D., Keim, D. A., Sedlmair, M., & Fuchs, J. (2020). A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual Teleportation. In 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (pp. 227-238). IEEE. https://doi.org/10.1109/ISMAR50242.2020.00046
Spinner, T., Schlegel, U., Schäfer, H., & El-Assady, M. (2020). explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning. IEEE Transactions on Visualization and Computer Graphics, 26(1), 1064-1074. https://doi.org/10.1109/TVCG.2019.2934629
Cakmak, E., Schäfer, H., Buchmüller, J., Fuchs, J., Schreck, T., Jordan, A., & Keim, D. A. (2020). MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior. Computer Graphics Forum, 39(3), 63-75. https://doi.org/10.1111/cgf.13963
2019
Wetenschappelijke publicaties
Sevastjanova, R., Schafer, H., Bernard, J., Keim, D., & El-Assady, M. (2019). Shall we play? - Extending the Visual Analytics Design Space through Gameful Design Concepts. In 2019 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics, MLUI 2019 (2019 IEEE Workshop on Machine Learning from User Interaction for Visualization and Analytics, MLUI 2019). IEEE. https://doi.org/10.1109/MLUI52769.2019.10075563
Miller, M., Schäfer, H., Kraus, M., Leman, M., Keim, D. A., & El-Assady, M. (2019). Framing Visual Musicology through Methodology Transfer. CoRR, abs/1908.10411. https://dblp.org/db/journals/corr/corr1908.html#abs-1908-10411
Jentner, W., Buchmüller, J., Sperrle, F., Sevastjanova, R., Spinner, T., Schlegel, U., Streeb, D., & Schäfer, H. (2019). N.E.A.T. - Novel Emergency Analysis Tool. In VAST (pp. 104-105) https://doi.org/10.1109/VAST47406.2019.8986900
Holzmann, S. L., Dischl, F., Schäfer, H., Groh, G., Hauner, H., & Holzapfel, C. (2019). Digital Gaming for Nutritional Education: A Survey on Preferences, Motives, and Needs of Children and Adolescents. JMIR Formative Research. https://doi.org/10.2196/10284
Elsweiler, D., Ludwig, B., Said, A., Schäfer, H., Torkamaan, H., & Trattner, C. (2019). Fourth international workshop on health recommender systems (HealthRecSys 2019). In RecSys (pp. 554-555) https://doi.org/10.1145/3298689.3347053
Holzmann, S. L., Schaefer, H., Groh, G., Plecher, D. A., Klinker, G., Schauberger, G., Hauner, H., & Holzapfel, C. (2019). Short-Term Effects of the Serious Game "Fit, Food, Fun" on Nutritional Knowledge: A Pilot Study among Children and Adolescents. Nutrients, 11(9). https://doi.org/10.3390/nu11092031
Schäfer, H., & Willemsen, M. C. (2019). Rasch-based tailored goals for nutrition assistance systems. In IUI (pp. 18-29) https://doi.org/10.1145/3301275.3302298
2018
Wetenschappelijke publicaties
Leipold, N., Madenach, M., Schäfer, H., Lurz, M., Terzimehic, N., Groh, G., Böhm, M., Gedrich, K., & Krcmar, H. (2018). Nutrilize a Personalized Nutrition Recommender System: an Enable Study. In HealthRecSys@RecSys (pp. 24-29) https://dblp.org/db/conf/recsys/healthrecsys2018.html#LeipoldMSLTG0GK18
Elsweiler, D., Ludwig, B., Said, A., Schäfer, H., Torkamaan, H., & Trattner, C. (2018). Third international workshop on health recommender systems (healthrecsys 2018). In RecSys (pp. 517-518) https://doi.org/10.1145/3240323.3240336
Schäfer, H., Bachner, J., Pretscher, S., Groh, G., & Demetriou, Y. (2018). Study on Motivating Physical Activity in Children with Personalized Gamified Feedback. In UMAP (Adjunct Publication) (pp. 221-226) https://doi.org/10.1145/3213586.3225227
2017
Wetenschappelijke publicaties
Elsweiler, D., Hors-Fraile, S., Ludwig, B., Said, A., Schäfer, H., Trattner, C., Torkamaan, H., & Valdez, A. C. (2017). Second Workshop on Health Recommender Systems: (HealthRecSys 2017). In RecSys (pp. 374-375) https://doi.org/10.1145/3109859.3109955
Schäfer, H., Plecher, D. A., Holzmann, S. L., Groh, G., Klinker, G., Holzapfel, C., & Hauner, H. (2017). NUDGE - NUtritional, Digital Games in Enable. In PGW@CHI PLAY https://dblp.org/db/conf/chiplay/pgw2017.html#SchaferPHGKHH17
Sailer, M., Schäfer, H., & Groh, G. (2017). Group Motivation for Social Games. In Mensch & Computer (pp. 351-354) https://doi.org/10.18420/muc2017-mci-0299
Schäfer, H., Elahi, M., Elsweiler, D., Groh, G., Harvey, M., Ludwig, B., Ricci, F., & Said, A. (2017). User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity. In UMAP (Adjunct Publication) (pp. 93-96) https://doi.org/10.1145/3099023.3099108
Schäfer, H., Hors-Fraile, S., Karumur, R. P., Valdez, A. C., Said, A., Torkamaan, H., Ulmer, T., & Trattner, C. (2017). Towards Health (Aware) Recommender Systems. In DH (pp. 157-161) https://doi.org/10.1145/3079452.3079499
2016
Wetenschappelijke publicaties
Elsweiler, D., Ludwig, B., Said, A., Schäfer, H., & Trattner, C. (2016). Engendering Health with Recommender Systems. In RecSys (pp. 409-410) https://doi.org/10.1145/2959100.2959203
Terzimehic, N., Leipold, N., Schäfer, H., Madenach, M., Böhm, M., Groh, G., & Gedrich, K. (2016). Can an Automated Personalized Nutrition Assistance System Successfully Change Nutrition Behavior? - Study Design. In ICIS https://dblp.org/db/conf/icis/icis2016.html#TerzimehicLSMBG16
Schäfer, H. (2016). Personalized Support for Healthy Nutrition Decisions. In RecSys (pp. 455-458) https://doi.org/10.1145/2959100.2959105
2015
Wetenschappelijke publicaties
Schäfer, H., Groh, G., Schlichter, J. H., Kolossa, S., Daniel, H., Hecktor, R., & Greupner, T. (2015). Personalized Food Recommendation. In DMRS (pp. 21-24) https://dblp.org/db/conf/dmrs/dmrs2015.html#SchaferGSKDHG15
Dias, F., Schäfer, H., Natal, L., & Cardeira, C. B. (2015). Mobile Robot Localisation for Indoor Environments Based on Ceiling Pattern Recognition. In ICARSC (pp. 65-70) https://doi.org/10.1109/ICARSC.2015.32
Schäfer, H., Viegas, J. P. L., Ferreira, M. C., Vieira, S. M., & Sousa, J. M. C. (2015). Analysing the segmentation of energy consumers using mixed fuzzy clustering. In FUZZ-IEEE (pp. 1-7) https://doi.org/10.1109/FUZZ-IEEE.2015.7338120
Ferreira, M. C., Salgado, C. M., Viegas, J. P. L., Schäfer, H., Azevedo, C. S., Vieira, S. M., & Sousa, J. M. C. (2015). Fuzzy modeling based on Mixed Fuzzy Clustering for health care applications. In FUZZ-IEEE (pp. 1-5) https://doi.org/10.1109/FUZZ-IEEE.2015.7338028
2014
Wetenschappelijke publicaties
Chen, S., Guo, C., Yuan, X., Merkle, F., Schäfer, H., & Ertl, T. (2014). OCEANS: online collaborative explorative analysis on network security. In VizSEC (pp. 1-8) https://doi.org/10.1145/2671491.2671493