![\"\"](\"https:\/\/cix.cs.uni-saarland.de\/wp-content\/uploads\/2021\/02\/adam.jpg\")
<\/figure>\n\n\n\n![\"\"](\"https:\/\/cix.cs.uni-saarland.de\/wp-content\/uploads\/2021\/02\/xrgonomics2-1024x1024.png\")
<\/figure>\n\n\n\n![\"gaze](\"https:\/\/cix.cs.uni-saarland.de\/wp-content\/uploads\/2021\/02\/etra-20-2.png\")
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<\/figure>\n<\/figure>\n\n\n\nWe investigate how to optimally adapt user interfaces at run-time to changes in the usage context, such as the user’s environment, their cognitive load, current task, or personal interaction strategy. On the one hand, this includes formulating optimization models for adapting interfaces. On the other hand, we develop methods to identify changes in the user’s context and models to predict how such changes impact the user’s behavior. Example projects include:<\/p>\n\n\n\n
- \n
- Christoph Albert Johns, Jo\u00e3o Marcelo Evangelista Belo, Anna Maria Feit, Clemens Nylandsted Klokmose, Ken Pfeuffer: <\/span> Towards Flexible and Robust User Interface Adaptations With Multiple Objectives<\/a><\/span>. In: <\/span>Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, <\/span>Association for Computing Machinery, <\/span>San Francisco, CA, USA, <\/span>2023<\/span>, ISBN: 9798400701320<\/span>.<\/span><\/div><\/li>\n\n\n\nJo\u00e3o Marcelo Evangelista Belo, Mathias N Lystb\u00e6k, Anna Maria Feit, Ken Pfeuffer, Peter K\u00e1n, Antti Oulasvirta, Kaj Gr\u00f8nb\u00e6k: <\/span> AUIT \u2013 the Adaptive User Interfaces Toolkit for Designing XR Applications<\/a><\/span>. In: <\/span>Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, UIST'22, <\/span>2022<\/span>.<\/span><\/div><\/li>\n\n\n\nJo\u00e3o Belo, Anna Maria Feit, Tiare Feuchtner, Kaj Gr\u00f8nb\u00e6k\r\n: <\/span> XRgonomics: Facilitating the Creation of Ergonomic 3D Interfaces<\/a><\/span>. In: <\/span>Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI'21), <\/span>ACM, <\/span>2021<\/span>.<\/span><\/div><\/li>\n\n\n\nAnna Maria Feit, Lukas Vordemann, Seonwook Park, Caterina Berube, Otmar Hilliges: <\/span> Detecting Relevance during Decision-Making from Eye Movements for UI Adaptation<\/a><\/span>. In: <\/span>Symposium on Eye Tracking Research and Applications, <\/span>Association for Computing Machinery, <\/span>2020<\/span>, ISBN: 9781450371339<\/span>.<\/span><\/div><\/li>\n\n\n\nDavid Lindlbauer, Anna Maria Feit, Otmar Hilliges: <\/span> Context-Aware Online Adaptation of Mixed Reality Interfaces<\/a><\/span>. In: <\/span>Symposium on User Interface Software and Technology, <\/span>ACM, <\/span>2019<\/span>, ISBN: 9781450368162<\/span>.<\/span><\/div><\/li>\n\n\n\nSeonwook Park, Christoph Gebhardt, Roman R\u00e4dle, Anna Maria Feit, Hana Vrzakova, Niraj Dayama, Hui-Shyong Yeo, Clemens Klokmose, Aaron Quigley, Antti Oulasvirta, Otmar Hilliges: <\/span> AdaM: Adapting Multi-User Interfaces for Collaborative Environments in Real-Time<\/a><\/span>. In: <\/span>SIGCHI Conference on Human Factors in Computing Systems, <\/span>ACM, <\/span>2018<\/span>.<\/span><\/div><\/li>\n<\/ul>\n\n\n\n
Human-AI interaction and oversight<\/strong><\/h3>\n\n\n\n
Our recent work focuses on understanding, modeling, and supporting people in their interaction with AI systems. On the one hand, we consider contexts that involve AI systems supporting users in their tasks (e.g. intelligent text input systems, AI-supported decision making). On the other hand, we are also interested in supporting humans in overseeing highly automated systems. We study how users rely on and adapt to AI support (e.g. from their gaze behavior), how AI support affects people’s perceived responsibility and autonomy, and how interface design can shape human motivation, perceived autonomy, and trust. <\/p>\n\n\n\n
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- Zekun Wu, Yao Wang, Markus Langer, Anna Maria Feit: <\/span> RelEYEance: Gaze-Based Assessment of Users\u2019 AI-reliance at Run-Time<\/a><\/span>. In: <\/span>Proc. ACM Hum.-Comput. Interact., <\/span>vol. 9, <\/span>no. ETRA16, <\/span>2025<\/span>.<\/span><\/div><\/li>\n\n\n\nFlorian Lehmann, Itto Kornecki, Daniel Buschek, Anna Maria Feit: <\/span> Typing Behavior is About More than Speed: Users' Strategies for Choosing Word Suggestions Despite Slower Typing Rates<\/a><\/span>. In: <\/span>Proc. ACM Hum.-Comput. Interact., <\/span>vol. 7, <\/span>no. MHCI, <\/span>2023<\/span>.<\/span><\/div><\/li>\n<\/ul>\n\n\n\n
Computational design of user interfaces<\/strong><\/h3>\n\n\n\n
![\"Vision](\"https:\/\/cix.cs.uni-saarland.de\/wp-content\/uploads\/2021\/02\/computational-design-1.png\")
<\/figure>\n\n\n\nWe develop optimization methods that can be used to automate (parts of) the design process of user interfaces. In addition to developing optimization models that capture the problem of UI design, we also focus on methods and tools that facilitate participatory optimizaton <\/em>to enable stakeholders at all levels to take part in the design process. Interactive optimization tools can help them to learn about the problem and broadly explore possible solutions. They also make assumptions and trade-offs more explicit and help to objectively assess individual’s expectations and ideas.
See for example the following works:<\/p>\n\n\n\n- \n
- Anna Maria Feit, Mathieu Nancel, Maximilian John, Andreas Karrenbauer, Daryl Weir, Antti Oulasvirta: <\/span> AZERTY Am\u00e9lior\u00e9: Computational Design on a National Scale<\/a><\/span>. In: <\/span>Communications of the ACM, <\/span>vol. 64, <\/span>no. 2, <\/span>2021<\/span>, ISSN: 0001-0782<\/span>.<\/span><\/div><\/li>\n\n\n\nAntti Oulasvirta, Anna Maria Feit, Perttu L\u00e4hteenlahti, Andreas Karrenbauer: <\/span> Computational Support for Functionality Selection in Interaction Design<\/a><\/span>. In: <\/span>ACM Transaction on Computer-Human Interaction, <\/span>vol. 24, <\/span>no. 5, <\/span>2017<\/span>, ISSN: 1073-0516<\/span>.<\/span><\/div><\/li>\n\n\n\n
![\"\"](\"https:\/\/cix.cs.uni-saarland.de\/wp-content\/uploads\/2021\/02\/xrgonomics_square2-1-1024x1022.png\")
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