Publications

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: experience in-vehicle information interview study systems user] 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: topic_visualcomputing Data Design Driving Human-Computer In-Vehicle Information Interaction Naturalistic System Tools Visualization] 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: (cs.LG), (math.NA), (physics.data-an), Analysis Analysis, Computer Data FOS: Learning Machine Mathematics, Numerical Physical Probability Statistics and information sciences sciences,] 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: topic_language (cs.CL), (cs.CY), Computation Computer Computers FOS: Language Society and information sciences sciences,] 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: causality extraction, graph, information knowledge] 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: cumulated discounted evaluation, gain, information judgements, normalized relevance reliability, retrieval, 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: cumulative difficulty discounted evaluation, gain, information normalized retrieval, topic] 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: exploration, focus+context graph information interaction, lenses, magic multi-touch visualization,] 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: arm collaboration, display display, information multi-touch, multi-user, visualization, wall, wearable] URL

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