@inproceedings{10.1145/3743049.3748537,

title = {Contextualizing Smartphone-Typed Language With User Input Intention},

author = {Florian Bemmann and Timo K. Koch and Maximilian Bergmann and Clemens Stachl and Daniel Buschek and Ramona Schoedel and Sven Mayer},

url = {https://doi-org.emedien.ub.uni-muenchen.de/10.1145/3743049.3748537},

doi = {10.1145/3743049.3748537},

isbn = {9798400715822},

year  = {2025},

date = {2025-01-01},

booktitle = {Proceedings of the Mensch Und Computer 2025},

pages = {520–526},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {MuC '25},

abstract = {While the study of smartphone-typed language offers valuable insights for HCI and interdisciplinary research, existing data collection methods often fall short in providing context. Contextualizing text contents solely by the input target app does not allow for selecting them by the actual input intention of the user (e.g., sending a direct message, publishing a post). We present a method to study smartphone-typed language in the wild, which extracts the user’s input intention from a text field’s prompt text. Our approach enables distinguishing language contents by their channel (i.e., comments, messaging, search inputs), which allows filtering and pre-selecting text contents by the user’s input intention and type of language. We provide software libraries and the underlying categorization schema of our method. Researchers can apply this on-device in studies relying on smartphone-typed language. We outline which further opportunities for adaptation our general procedure motivates, to facilitate interdisciplinary studies in the wild.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3737821.3743750,

title = {Workshop on Societal Effects of AI in Mobile Social Media},

author = {Florian Bemmann and Matthias Schmidmaier and Viktorija Paneva and Doruntina Murtezaj and Alexander Wiethoff and Sven Mayer},

url = {https://doi-org.emedien.ub.uni-muenchen.de/10.1145/3737821.3743750},

doi = {10.1145/3737821.3743750},

isbn = {9798400719707},

year  = {2025},

date = {2025-01-01},

booktitle = {Adjunct Proceedings of the 27th International Conference on Mobile Human-Computer Interaction},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {MobileHCI '25 Adjunct},

abstract = {Social media platforms constitute an essential part of many people’s mobile device usage. Their contents have adapted to the mobile form factor, e.g., through an increase of short-form video and content recommendation instead of navigation and active selection. Social media systems thereby have a strong influence on individuals and society, for example, concerning public discourse and opinion-making. The rise of AI-generated content and LLM-backed autonomous agents even pushes such developments. This workshop discusses social media’s recent developments and yielding positive and negative effects on our society. Participants will share their perspectives of HCI research on social media systems and the research aims they are pursuing. In this workshop, we outline opportunities in joining insights from social sciences with the potential of recent developments in Human-Computer Interaction approaches. Interface design ideas will be explored and discussed with the research community, synthesizing collective challenges, promising future directions, and strategies for research that mitigate the negative effects of AI in social media systems on our society.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bemmann2024privacyslider,

title = {The Impact of Data Privacy on Users' Smartphone App Adoption Decisions},

author = {Florian Bemmann and Sven Mayer},

doi = {https://doi.org/10.1145/3676525},

year  = {2024},

date = {2024-09-01},

journal = {Proc. ACM Hum.-Comput. Interact.},

volume = {8},

number = {MHCI},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bemmann2024privacysliderb,

title = {Privacy Slider: Fine-Grain Privacy Control for Smartphones},

author = {Florian Bemmann and Helena Stoll and Sven Mayer},

doi = {https://doi.org/10.1145/3676519},

year  = {2024},

date = {2024-09-01},

journal = {Proc. ACM Hum.-Comput. Interact.},

volume = {8},

number = {MHCI},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3565066.3609737,

title = {User-Centered Privacy to Improve User Quantification using Smartphone Sensing},

author = {Florian Bemmann},

url = {https://doi-org.emedien.ub.uni-muenchen.de/10.1145/3565066.3609737},

doi = {10.1145/3565066.3609737},

isbn = {9781450399241},

year  = {2023},

date = {2023-01-01},

booktitle = {Proceedings of the 25th International Conference on Mobile Human-Computer Interaction},

publisher = {Association for Computing Machinery},

address = {Athens, Greece},

series = {MobileHCI '23 Companion},

abstract = {Mobile sensing technologies enable adaptive and context-aware applications. At the same time, they raise a range of privacy concerns. Thus, to reduce privacy concerns today apps are restricted from accessing certain information hindering to deliver full personalization and novel adaptive use cases. I investigate this issue by shedding light on the privacy concerns that arise from state-of-the-art mobile sensing data, studying the users’ perspective on mobile smartphone privacy, and proposing concepts that protect the users’ privacy while keeping the resulting data usable. I found that there is a lack of user-centered privacy design and that control features play a key role to give the users more agency. My results motivate the proliferation of control-enhancing privacy features in mobile applications. I show that the benefits of trust and system adoption surpass any impairments that control features might bring to the data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{sakel2023exploring,

title = {Exploring Data-Driven Approaches to Support Depression Therapy},

author = {Sophia Sakel and Florian Bemmann and Sven Mayer},

year  = {2023},

date = {2023-01-01},

booktitle = {CHI’23 workshop on Intelligent Data-Driven Health Interfaces (2023-04-23). Online, Hamburg, Germany. https://sven-mayer. com/wp-content/uploads/2024/02/sakel2023exploring. pdf},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bemmann2023UserCenteredST,

title = {User-Centered Sustainable Technology Design: A Reflection on Human-Computer Interaction Research for a Sustainable Society (Extended Abstract)},

author = {Florian Bemmann and Sven Mayer},

url = {https://api.semanticscholar.org/CorpusID:258845835},

year  = {2023},

date = {2023-01-01},

booktitle = {ICT for Sustainability},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{bemmann_2022_piandai,

title = {Interaction Challenges for N-Of-One Experiments based on Mobile Sensing Data},

author = {Florian Bemmann and Daniel Buschek},

year  = {2022},

date = {2022-05-01},

publisher = {CHI'22 Workshop: Grand Challenges in Personal Informatics and AI},

address = {Online},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}