Publications

Kim Breitwieser, Allison Lahnala, Charles Welch, Lucie Flek, und Martin Potthast. Modeling Proficiency with Implicit User Representations. arXiv, 2021. [PUMA: sciences Computation and Computer sciences, Language (cs.CL), information FOS:] URL

Patrick Ebel, Florian Brokhausen, und Andreas Vogelsang. The Role and Potentials of Field User Interaction Data in the Automotive UX Development Lifecycle: An Industry Perspective. 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 141–150, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: systems study in-vehicle interview user information experience] URL

Patrick Ebel, Kim Julian Gülle, Christoph Lingenfelder, und Andreas Vogelsang. ICEBOAT: An Interactive User Behavior Analysis Tool for Automotive User Interfaces. Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, New York, NY, USA, 2022. [PUMA: Design Interaction Visualization Driving Tools Data In-Vehicle Naturalistic Information topic_visualcomputing Human-Computer System] URL

Lukas Gienapp, Maik Fröbe, Matthias Hagen, und Martin Potthast. The Impact of Negative Relevance Judgments on NDCG. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2037–2040, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: retrieval, judgements, gain, normalized reliability, evaluation, cumulated information discounted relevance stability] URL

Lukas Gienapp, Benno Stein, Matthias Hagen, und Martin Potthast. Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2033–2036, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: difficulty retrieval, gain, normalized topic evaluation, information cumulative discounted] URL

Stefan Heindorf, Yan Scholten, Henning Wachsmuth, Axel-Cyrille Ngonga Ngomo, und Martin Potthast. CauseNet: Towards a Causality Graph Extracted from the Web. Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 3023–3030, Association for Computing Machinery, New York, NY, USA, 2020. [PUMA: extraction, graph, knowledge information causality] URL

Ulrike Kister, Patrick Reipschläger, und Raimund Dachselt. MultiLens: Fluent Interaction with Multi-Functional Multi-Touch Lenses for Information Visualization. Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces, 139–148, Association for Computing Machinery, New York, NY, USA, 2016. [PUMA: magic lenses, exploration, interaction, visualization, information multi-touch graph focus+context] URL

Suryanarayana Maddu, Bevan L. Cheeseman, Ivo F. Sbalzarini, und Christian L. Müller. Stability selection enables robust learning of partial differential equations from limited noisy data. arXiv, 2019. [PUMA: (physics.data-an), Analysis, Probability Data sciences, Numerical Statistics FOS: Machine Physical sciences Analysis (cs.LG), Learning (math.NA), Mathematics, and Computer information] URL

Ulrich von Zadow, Wolfgang Büschel, Ricardo Langner, und Raimund Dachselt. SleeD: Using a Sleeve Display to Interact with Touch-sensitive Display Walls. Proceedings of the Ninth ACM International Conference on Interactive Tabletops and Surfaces, 129–138, Association for Computing Machinery, New York, NY, USA, 2014. [PUMA: wearable display display, multi-user, arm visualization, wall, information collaboration, multi-touch,] URL

Matti Wiegmann, Jennifer Rakete, Magdalena Wolska, Benno Stein, und Martin Potthast. If there's a Trigger Warning, then where's the Trigger? Investigating Trigger Warnings at the Passage Level. arXiv, 2024. [PUMA: sciences, FOS: Computers sciences (cs.CY), Computation topic_language Society and Computer Language (cs.CL), information] URL

Ines Zelch, Matthias Hagen, und Martin Potthast. A User Study on the Acceptance of Native Advertising in Generative IR. Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, 142–152, Association for Computing Machinery, New York, NY, USA, 2024. [PUMA: retrieval, topic_language LLMs, Search Advertising Generative information] URL