Philipp Thalhammer

E-Mail	philipp.thalhammer
Phone	+49-89 / 2180-75143
Address	Philipp Thalhammer LMU Munich Media Informatics Group Frauenlobstr. 7a 80337 Munich, Germany
Room	455 ( 4th floor)

Research Interests

Artificial intelligence (AI), especially large language models (LLMs), has evolved into one of the most influential technologies of our century. Yet, human interaction with AI is dominated by chat-based input windows. Although there have been some developments regarding wearable AI interfaces, the field remains largely unexplored. AI has the potential to revolutionize the way we approach accessibility by automating tasks that previously required human assistance. However, most AI tools are at least partly inaccessible to people who use assistive technologies to interact with computers. The goal of my Ph.D. research is to investigate how generative AI and LLMs can be made more accessible for people with disabilities and be utilized to create new accessibility tools through the use of multimodal interactions. I approach this problem using an iterative research through design (RTD) approach focused on close engagement with the target demographic.

Generally I am interested in the following topics:

Academic Background

• 2017 - 2021 Bachelor of Science Mediainformatics LMU Munich
• 2021 - 2024 Master of Science Human Computer Interaction LMU Munich
• 2024 - present PhD student at the Media Informatics Group LMU Munich

Teaching

• WS24/25 Practical Course Sketching With Hardware (Master)
• WS24/25 User Experience 1 (Bachelor)

Publications

2024
Download	Jesse W. Grootjen, Philipp Thalhammer, Thomas Kosch Your Eyes on Speed: Using Pupil Dilation to Adaptively Select Speed-Reading Parameters in Virtual Reality Proceedings of the ACM on Human-Computer Interaction, Volume 8, Issue MHCI, Association for Computing Machinery, 2024-09 (bib)
2023
Download	Philipp Thalhammer, Alexander Schmidt, David Mueller, Michael Huber, Sebastian Feger, Albrecht Schmidt ConnectivityControl: A Model Ecosystem for Advanced Smart Home Privacy In Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia (MUM'23). ACM. Vienna, Austria. 2023. https://dl.acm.org/doi/proceedings/10.1145/3626705 (bib)