+200 peer-reviewed publications, 2018–2026

@inproceedings{10.1145/3737821.3749563,

title = {An Evaluation Framework for Synthetic Touch Gestures – A Deeper Dive},

author = {Marvin Bachert and Marc Hesenius},

url = {https://doi.org/10.1145/3737821.3749563},

doi = {10.1145/3737821.3749563},

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 = {To enable automated testing of gesture-based applications, synthetic touch gestures must closely mimic real touch gestures. Although various generation methods exist, comparing them remains difficult due to the lack of standardized evaluation procedures. This work builds upon an existing initial evaluation framework that organizes relevant metrics into categories based on a taxonomy. We specify open aspects of the framework to support its practical and consistent application. We also propose a hierarchical structure for weighting and comparing metrics across categories. Finally, we outline how the framework can be extended to evaluate multi-stroke and multi-touch gestures.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-031-91760-8_1,

title = {Synthesizing 2D vs. 3D Gestures},

author = {Marvin Bachert and Marc Hesenius},

editor = {Luciana Zaina and José Creissac Campos and Davide Spano and Kris Luyten and Philippe Palanque and Gerrit Veer and Achim Ebert and Shah Rukh Humayoun and Vera Memmesheimer},

isbn = {978-3-031-91760-8},

year  = {2025},

date = {2025-01-01},

booktitle = {Engineering Interactive Computer Systems. EICS 2024 International Workshops},

pages = {3–15},

publisher = {Springer Nature Switzerland},

address = {Cham},

abstract = {Synthetic gestures are necessary for automating User Interface tests in applications using gestures, which often embed techniques from Artificial Intelligence and Machine Learning for gesture recognition. However, synthetic gestures must closely mimic the variances in human gestures. Therefore, algorithms capable of generating human-like fuzzy gestures depending on the configuration of user groups are necessary. In this paper, we analyze the differences between 2D and 3D gestures and correlate them with algorithms from Generative Artificial Intelligence designed for synthesizing gestures. Our findings support researchers and developers when developing components for gesture synthesis.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{kulzer2025windirect,

title = {winDirect: Studying the Effect of a Wind-Based Haptic Bracelet on Presence and the Detectability of Hand Redirection},

author = {Ulrike Kulzer and André Zenner and Donald Degraen},

year  = {2025},

date = {2025-01-01},

booktitle = {2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)},

pages = {356–357},

organization = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{feick2025delusionized,

title = {Delusionized? potential harms of proprioceptive manipulations through hand redirection in virtual reality},

author = {Martin Feick and Kora Persephone Regitz and André Zenner},

year  = {2025},

date = {2025-01-01},

booktitle = {Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology},

pages = {1–9},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ram2025gesturecoach,

title = {GestureCoach: Rehearsing for engaging talks with LLM-driven gesture recommendations},

author = {Ashwin Ram and Varsha Suresh and Artin Saberpour Abadian and Vera Demberg and Jürgen Steimle},

year  = {2025},

date = {2025-01-01},

booktitle = {Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology},

pages = {1–15},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3746059.3747796,

title = {eTactileKit: A Toolkit for Design Exploration and Rapid Prototyping of Electro-Tactile Interfaces},

author = {Praneeth Bimsara Perera and Ravindu Madhushan Pushpakumara and Hiroyuki Kajimoto and Arata Jingu and Jürgen Steimle and Anusha Withana},

url = {https://doi.org/10.1145/3746059.3747796},

doi = {10.1145/3746059.3747796},

isbn = {9798400720376},

year  = {2025},

date = {2025-01-01},

booktitle = {Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {UIST '25},

abstract = {Electro-tactile interfaces are becoming increasingly popular due to their unique advantages, such as delivering fast and localised tactile response, thin and flexible form factors, and the potential to create novel tactile experiences. However, insights from a formative study with typical designers highlighted the lack of resources, limited access to information and complexity of software and hardware tools. This establishes a high barrier to entry and limits the ability to rapidly prototype and experiment with electro-tactile interfaces. To address these challenges, we propose eTactileKit, a scalable and accessible toolkit providing end-to-end support for designing and prototyping electro-tactile interfaces. eTactileKit comprises a hardware platform and a software framework for designing, simulating and exploring electro-tactile stimuli. We evaluated the impact and usability of eTactileKit through a three-week long take-home study, which demonstrated increased accessibility, ease of use, and the toolkit’s positive impact on design workflow. Additionally, we implemented a set of use cases to demonstrate the toolkit’s practicality and effectiveness across various applications.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{11129390,

title = {Exploring the Design Space for Security Warnings in Immersive Environments},

author = {Andrea Mengascini and Rebecca Weil and Annabelle Walle and Jürgen Steimle and Giancarlo Pellegrino},

doi = {10.1109/EuroSP63326.2025.00022},

year  = {2025},

date = {2025-01-01},

booktitle = {2025 IEEE 10th European Symposium on Security and Privacy (EuroS&P)},

pages = {227-250},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{10.1145/3737821.3749559,

title = {LayEv: Advancing the Review-lution with Interactive Visualization of Systematic Evidence Synthesis},

author = {Luca Hilbrich and Alexander Kalus and Katrin Wolf},

url = {https://doi.org/10.1145/3737821.3749559},

doi = {10.1145/3737821.3749559},

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 = {With the rapidly growing number of articles published in the field of Human-Computer Interaction (HCI), it has become increasingly difficult to keep track of a given research area. Consequently, secondary research methods such as evidence synthesis are of growing importance. In this work, we transfer an evidence synthesis method from epidemiology to the field of HCI, develop a novel visualization technique specifically aimed at evidence synthesis, and make this technique available to the HCI community via the open source web application LayEv. To demonstrate how our approach can reveal new relational and causal paths between variables, we apply it to a set of publications identified in a prior literature review and visualize the results with LayEv. Future researchers can leverage our method to obtain comprehensive overviews of research areas, identify trends, and visualize existing evidence synthesis results.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{meckelands2024,

title = {Exploring the Lands Between: A Method for Finding Differences between AI-Decisions and Human Ratings through Generated Samples},

author = {Lukas Mecke AND Daniel Buschek AND Uwe Gruenefeld AND Florian Alt},

url = {https://arxiv.org/pdf/2409.12801},

year  = {2024},

date = {2024-09-22},

publisher = {arXiv},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}