Publications @ CHI 2025

@inproceedings{Krau2025CreateFear,

title = {“Create a Fear of Missing Out” — ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without Warning},

author = {Veronika Krauß (Technical University of Darmstadt), Mark McGill (University of Glasgow), Thomas Kosch (Humboldt University of Berlin), Yolanda Thiel (Technical University of Darmstadt), Dominik Schön (Technical University of Darmstadt), Jan Gugenheimer (Technical University of Darmstadt)},

url = {https://www.teamdarmstadt.de/, website 

www.linkedin.com/in/veronikakrauss, linkedin},

doi = {10.1145/3706598.3713083},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {With the recent advancements in Large Language Models (LLMs), web developers increasingly apply their code-generation capabilities to website design. However, since these models are trained on existing designerly knowledge, they may inadvertently replicate bad or even illegal practices, especially deceptive designs (DD). This paper examines whether users can accidentally create DD for a fictitious webshop using GPT-4. We recruited 20 participants, asking them to use ChatGPT to generate functionalities (product overview or checkout) and then modify these using neutral prompts to meet a business goal (e.g., „increase the likelihood of us selling our product“). We found that all 20 generated websites contained at least one DD pattern (mean: 5, max: 9), with GPT-4 providing no warnings. When reflecting on the designs, only 4 participants expressed concerns, while most considered the outcomes satisfactory and not morally problematic, despite the potential ethical and legal implications for end-users and those adopting ChatGPT's recommendations.},

keywords = {Dark Patterns, Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Rosbach2025WhenTwo,

title = {"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology},

author = {Emely Rosbach (Technische Hochschule Ingolstadt), Jonas Ammeling (Technische Hochschule Ingolstadt), Sebastian Krügel (University of Hohenheim), Angelika Kießig (Katholische Universität Eichstätt), Alexis Fritz (Albert-Ludwigs-Universität Freiburg), Jonathan Ganz (Technische Hochschule Ingolstadt), Chloé Puget (Freie Universität Berlin), Taryn Donovan (Animal Medical Center), Andrea Klang (University of Veterinary Medicine Vienna), Maximilian C. Köller (Medical University of Vienna), Pompei Bolfa (Ross University School of Veterinary Medicine), Marco Tecilla (University of Milan), Daniela Denk (Ludwig-Maximilians-University of Munich), Matti Kiupel (Michigan State University), Georgios Paraschou (Ross University School of Veterinary Medicine), Mun Keong Kok (Faculty of Veterinary Medicine Universiti Putra Malaysia), Alexander F. H. Haake (Freie Universität Berlin), Ronald R. de Krijger (UMC Utrecht, Princess Maxima Center for Pediatric Oncology), Andreas F.-P. Sonnen (UMC Utrecht), Tanit Kasantikul (Michigan State University), Gerry M. Dorrestein (NOIVBD), Rebecca C. Smedley (Michigan State University), Nikolas Stathonikos (UMC Utrecht), Matthias Uhl (University of Hohenheim), Christof A. Bertram (University of Veterinary Medicine Vienna), Andreas Riener (Technische Hochschule Ingolstadt), Marc Aubreville (Flensburg University of Applied Sciences)},

url = {https://hcig.thi.de/, website 

linkedin.com/in/emely-rosbach-0492b1178, linkedin},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Artificial intelligence (AI)-based decision support systems hold promise for enhancing diagnostic accuracy and efficiency in computational pathology. However, human-AI collaboration can introduce and amplify cognitive biases, such as confirmation bias caused by false confirmation when erroneous human opinions are reinforced by inaccurate AI output. This bias may worsen when time pressure, ubiquitously present in routine pathology, strains practitioners’ cognitive resources. We quantified confirmation bias triggered by AI-induced false confirmation and examined the role of time constraints in a web-based experiment, where trained pathology experts (n=28) estimated tumor cell percentages. Our results suggest that AI integration may fuel confirmation bias, evidenced by a statistically significant positive linear-mixed-effects model coefficient linking AI recommendations mirroring flawed human judgment and alignment with system advice. Conversely, time pressure appeared to weaken this relationship. These findings highlight potential risks of AI use in healthcare and aim to support the safe integration of clinical decision support systems.},

keywords = {Full Paper, Healthcare Assistance, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bahnsen2025ArCue,

title = {AR Cue Reliability for Interrupted Task Resumption Affects Users' Resumption Strategies and Performance},

author = {Kilian L. Bahnsen (Chair of Psychological Ergonomics, Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Emma Dischinger (Chair of Psychological Ergonomics, Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Tobias Grundgeiger (Chair of Psychological Ergonomics, Julius-Maximilians-Universität Würzburg, Würzburg, Germany)},

url = {https://www.mcm.uni-wuerzburg.de/psyergo/, social media},

doi = {10.1145/3706598.3713685},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Reliable augmented reality (AR) cues can support the resumption of interrupted tasks. We investigated how sub-optimal AR cue reliability (100%, 86%, 64%, or no cue) affected users’ resumption performance and strategies. In a between-subjects experiment, 120 participants conducted a physical sorting task including interruptions, and we manipulated AR cue reliability (i.e., the AR cue was present or absent at the end of interruptions). In trials with AR cue, performance with 86% and 64% reliable AR cues was as well as with 100% reliable cues. In trials without AR cue, performance with suboptimal AR cue reliability declined but was still better than with no cue. Cue reliability affected task resumption strategies of the 86% (slow but no increase in errors) and the 64% (fast but increase in errors) reliability groups differently. Our results extend reliability research to interruptions and the observed efficiency-thoroughness trade-offs in resumption strategies provide insight for design.},

keywords = {Augmented Reality, Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schramm2025AugmentedJourneys,

title = {Augmented Journeys: Interactive Points of Interest for In-Car Augmented Reality},

author = {Robin Connor Schramm (Mercedes-Benz Tech Motion GmbH, RheinMain University of Applied Sciences), Ginevra Fedrizzi (Mercedes-Benz Tech Motion GmbH), Markus Sasalovici (Mercedes-Benz Tech Motion GmbH, Ulm University), Jann Philipp Freiwald (Mercedes-Benz Tech Motion GmbH), Ulrich Schwanecke (RheinMain University of Applied Sciences)},

url = {https://cvmr.info/, website 

https://www.linkedin.com/in/robinschramm/, linkedin},

doi = {10.1145/3706598.3714323},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {As passengers spend more time in vehicles, the demand for non-driving related tasks (NDRTs) increases. In-car Augmented Reality (AR) has the potential to enhance passenger experiences by enabling interaction with the environment through NDRTs using world-fixed Points of Interest (POIs). However, the effectiveness of existing interaction techniques and visualization methods for in-car AR remains unclear. Based on a survey (N=110) and a pre-study (N=10), we developed an interactive in-car AR system using a video see-through head-mounted display to engage with POIs via eye-gaze and pinch. Users could explore passed and upcoming POIs using three visualization techniques: List, Timeline, and Minimap. We evaluated the system's feasibility in a field study (N=21). Our findings indicate general acceptance of the system, with the List visualization being the preferred method for exploring POIs. Additionally, the study highlights limitations of current AR hardware, particularly the impact of vehicle movement on 3D interaction.},

keywords = {Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wittchen2025Collabjam,

title = {CollabJam: Studying Collaborative Haptic Experience Design for On-Body Vibrotactile Patterns},

author = {Dennis Wittchen (Dresden University of Applied Sciences), Alexander Ramian (Dresden University of Applied Sciences), Nihar Sabnis (Sensorimotor Interaction, Max Planck Institute for Informatics, Saarland Informatics Campus), Richard Böhme (Dresden University of Applied Sciences), Christopher Chlebowski (Dresden University of Applied Sciences), Georg Freitag (Dresden University of Applied Sciences), Bruno Fruchard (UMR 9189 - CRIStAL, Univ. Lille, Inria, CNRS), Donald Degraen (HIT Lab NZ, University of Canterbury)},

url = {https://www.htw-dresden.de/mimig, website https://hci.social/@denniswittchen, author\\\'s hci.social},

doi = {10.1145/3706598.3713469},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Designing vibrotactile experiences collaboratively requires communicating using multiple senses. This is challenging in remote scenarios as designers need to effectively express and communicate their intention while iteratively building and refining experiences, ideally in real-time. We formulate design considerations for collaborative haptic design tools, and propose CollabJam, a collaborative prototyping suite enabling remote synchronous design of vibrotactile experiences for on-body applications. We first outline CollabJam’s features and present a technical evaluation. Second, we use CollabJam to understand communication and design patterns used during haptic experience design. We performed an in-depth design evaluation spanning four sessions in which four pairs of participants designed and reviewed vibrotactile experiences remotely. A qualitative content analysis revealed how multi-sensory communication is essential to convey ideas, how stimulating the tactile sense can interfere with personal boundaries, and how freely placing actuators on the skin can provide both benefits and challenges.},

keywords = {Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Leusmann2025DevelopingValidating,

title = {Developing and Validating the Perceived System Curiosity Scale (PSC): Measuring Users' Perceived Curiosity of Systems},

author = {Jan Leusmann (LMU Munich), Steeven Villa (LMU Munich), Burak Berberoglu (LMU Munich), Chao Wang (Honda Research Institute Europe), Sven Mayer (LMU Munich)},

url = {https://www.medien.ifi.lmu.de/, website https://www.linkedin.com/search/results/all/?fetchDeterministicClustersOnly=true&heroEntityKey=urn%3Ali%3Aorganization%3A93636029&keywords=lmu%20media%20informatics%20group&origin=RICH_QUERY_SUGGESTION&position=1&searchId=730aeabf-245a-4e69-af0b-ee7df6bed910&sid=GuZ&spellCorrectionEnabled=false, lab\\\'s linkedin 

https://www.linkedin.com/in/jan-leusmann/, author\\\'s linkedin},

doi = {10.1145/3706598.3713087},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Like humans, today's systems, such as robots and voice assistants, can express curiosity to learn and engage with their surroundings. While curiosity is a well-established human trait that enhances social connections and drives learning, no existing scales assess the perceived curiosity of systems. Thus, we introduce the Perceived System Curiosity (PSC) scale to determine how users perceive curious systems. We followed a standardized process of developing and validating scales, resulting in a validated 12-item scale with 3 individual sub-scales measuring explorative, investigative, and social dimensions of system curiosity. In total, we generated 831 items based on literature and recruited 414 participants for item selection and 320 additional participants for scale validation. Our results show that the PSC scale has inter-item reliability and convergent and construct validity. Thus, this scale provides an instrument to explore how perceived curiosity influences interactions with technical systems systematically.},

keywords = {Full Paper, Honorable Mention, Robotics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kaiser2025GetReal,

title = {Get Real With Me: Effects of Avatar Realism on Social Presence and Comfort in Augmented Reality Remote Collaboration and Self-Disclosure},

author = {Jonah-Noël Kaiser (OFFIS - Institute for Information Technology), Simon Kimmel (OFFIS - Institute for Information Technology), Eva Licht (University of Wupperta), Eric Landwehr (OFFIS - Institute for Information Technology), Fabian Hemmert (University of Wuppertal), Wilko Heuten (OFFIS - Institute for Information Technology)},

url = {https://hci.uni-oldenburg.de/de/, website 

https://www.linkedin.com/in/jonah-kaiser/, linkedin},

doi = {10.1145/3706598.3713541},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Augmented reality (AR) is poised to transform remote communication with realistic user representations authentically simulating in-person interactions in one's own environment. While increased avatar realism is beneficial in various social contexts, as it generally fosters social presence, its impact in intimate interactions is less clear, possibly creating discomfort. We explored how varying avatar realism affects social presence and comfort in AR across different social interactions. Realism preferences were established in an online survey (N=157), informing our subsequent experiment (N=42). Participants engaged in remote AR collaboration and self-disclosure tasks with avatars ranging from abstract to realistic point-cloud. Quantitative and qualitative feedback revealed that higher avatar realism generally enhances social presence and comfort, though preferences can vary. The self-disclosure task increased social presence but reduced comfort compared to the collaboration task. This research provides an empirical analysis of avatar realism, highlighting the benefits of realistic avatars in various scenarios.},

keywords = {Augmented Reality, Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wolf2025HowClinical,

title = {How a Clinical Decision Support System Changed the Diagnosis Process: Insights from an Experimental Mixed-Method Study in a Full-Scale Anesthesiology Simulation},

author = {Sara Wolf (Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Tobias Grundgeiger (Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Raphael Zähringer (Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Lora Shishkova (Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Franzisca Maas (Julius-Maximilians-Universität Würzburg, Würzburg, Germany), Christina Dilling (Universitätsklinikum Würzburg Würzburg, Germany), and Oliver Happel (Universitätsklinikum Würzburg Würzburg, Germany)},

url = {https://www.mcm.uni-wuerzburg.de/psyergo/, website},

doi = {10.1145/3706598.3713372},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Recent advancements in artificial intelligence have sparked discussions on how clinical decision-making can be supported. New clinical decision support systems (CDSSs) have been developed and evaluated through workshops and interviews. However, limited research exists on how CDSSs affect decision-making as it unfolds, particularly in settings such as acute care, where decisions are made collaboratively under time pressure and uncertainty. Using a mixed-method study, we explored the impact of a CDSS on decisionmaking in anesthetic teams during simulated operating room crises. Fourteen anesthetic teams participated in high-fidelity simulations, half using a CDSS prototype for comparative analysis. Qualitative findings from conversation analysis and quantitative results on decision-making efficiency and workload revealed that the CDSS changed team structure, communication, and diagnostic processes. It homogenized decision-making, empowered nursing staff, and introduced friction between analytical and intuitive thinking. We discuss whether these changes are beneficial or detrimental and offer insights to guide future CDSS design.},

keywords = {Full Paper, Healthcare Assistance, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lima2025LayPerceptions,

title = {Lay Perceptions of Algorithmic Discrimination in the Context of Systemic Injustice},

author = {Gabriel Lima (Max Planck Institute for Security and Privacy), Nina Grgić-Hlača (Max Planck Institute for Software Systems), Markus Langer (University of Freiburg), Yixin Zou (Max Planck Institute for Security and Privacy)},

url = {https://thegcamilo.github.io/, github},

doi = {10.1145/3706598.3713536},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Algorithmic fairness research often disregards concerns related to systemic injustice. We study how contextualizing algorithms within systemic injustice impacts lay perceptions of algorithmic discrimination. Using the hiring domain as a case-study, we conduct a 2x3 between-participants experiment (N=716), studying how people's views of algorithmic fairness are influenced by information about (i) systemic injustice in historical hiring decisions and (ii) algorithms' propensity to perpetuate biases learned from past human decisions. We find that shedding light on systemic injustice has heterogeneous effects: participants from historically advantaged groups became more negative about discriminatory algorithms, while those from disadvantaged groups reported more positive attitudes. Explaining that algorithms learn from past human decisions had null effects on people's views, adding nuances to calls for improving public understanding of algorithms. Our findings reveal that contextualizing algorithms in systemic injustice can have unintended consequences and show how different ways of framing existing inequalities influence perceptions of injustice.},

keywords = {Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sabnis2025MotioncoupledAsymmetric,

title = {Motion-Coupled Asymmetric Vibration for Pseudo Force Rendering in Virtual Reality},

author = {Nihar Sabnis (Max Planck Institute for Informatics), Maelle Roche (Max Planck Institute for Informatics), Dennis Wittchen (Max Planck Institute for Informatics), Donald Degraen (University of Duisburg-Essen), Paul Strohmeier (Max Planck Institute for Informatics).},

url = {https://sensint.mpi-inf.mpg.de/index.html, website 

https://de.linkedin.com/in/nihar-sabnis, author\'s linkedin},

doi = {10.1145/3706598.3713358},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {In Virtual Reality (VR), rendering realistic forces is crucial for immersion, but traditional vibrotactile feedback fails to convey force sensations effectively. Studies of asymmetric vibrations that elicit pseudo forces show promise but are inherently tied to unwanted vibrations, reducing realism. Leveraging sensory attenuation to reduce the perceived intensity of self-generated vibrations during user movement, we present a novel algorithm that couples asymmetric vibrations with user motion, which mimics self-generated sensations. Our psychophysics study with 12 participants shows that motion-coupled asymmetric vibration attenuates the experience of vibration (equivalent to a ~30% reduction in vibration-amplitude) while preserving the experience of force, compared to continuous asymmetric vibrations (state-of-the-art). We demonstrate the effectiveness of our approach in VR through three scenarios: shooting arrows, lifting weights, and simulating haptic magnets. Results revealed that participants preferred forces elicited by motion-coupled asymmetric vibration for tasks like shooting arrows and lifting weights. This research highlights the potential of motion-coupled asymmetric vibrations, offers new insights into sensory attenuation, and advances force rendering in VR.},

keywords = {Full Paper, Honorable Mention, Output Modalities & Haptics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Jansen2025Opticarvis,

title = {OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User Experience},

author = {Pascal Jansen (Ulm University), Mark Colley (Ulm University, Cornell Tech), Svenja Krauß (Ulm University), Daniel Hirschle (Ulm University) and E. Rukzio (Ulm University)},

url = {https://www.uni-ulm.de/en/in/mi/hci/, website 

https://youtu.be/n6O_DOkw-Ng, teaser video 

https://www.linkedin.com/in/pascal-jansen-/, linkedin},

doi = {10.1145/3706598.3713514},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Automated vehicle (AV) acceptance relies on their understanding via feedback. While visualizations aim to enhance user understanding of AV’s detection, prediction, and planning functionalities, establishing an optimal design is challenging. Traditional "one-size-fits-all" designs might be unsuitable, stemming from resource-intensive empirical evaluations. This paper introduces OptiCarVis, a set of Human-in-the-Loop (HITL) approaches using Multi-Objective Bayesian Optimization (MOBO) to optimize AV feedback visualizations. We compare conditions using eight expert and usercustomized designs for a Warm-Start HITL MOBO. An online study (N=117) demonstrates OptiCarVis’s efficacy in significantly improving trust, acceptance, perceived safety, and predictability without increasing cognitive load. OptiCarVis facilitates a comprehensive design space exploration, enhancing in-vehicle interfaces for optimal passenger experiences and broader applicability.},

keywords = {Automotive, Full Paper, Honorable Mention},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Janzen2025UserPerspective,

title = {The User Perspective on Island-Ready 6G Communication: A Survey of Future Smartphone Usage in Crisis-Struck Areas with Local Cellular Connectivity},

author = {Leon Janzen (Secure Mobile Networking Lab, TU Darmstadt), Florentin Putz (Secure Mobile Networking Lab, TU Darmstadt), Marc-André Kaufhold (Science and Technology for Peace and Security, TU Darmstadt), Kolja Straub (Secure Mobile Networking Lab, TU Darmstadt), Matthias Hollick (Secure Mobile Networking Lab, TU Darmstadt)},

url = {https://www.seemoo.tu-darmstadt.de, website 

https://www.linkedin.com/in/leon-janzen-071134194/, linkedin},

doi = {10.1145/3706598.3714324},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Using smartphone apps during crises is well-established, proving critical for crisis response. However, such apps become useless without an Internet connection, which is a common issue during crises. The ongoing 6G standardization explores the capability to provide local connectivity for cities cut off from the outside Internet in crises. This paper introduces the concept of local cellular connectivity in isolated cities to the HCI community. It presents findings from a survey (N = 857) of users in Germany’s major cities on their smartphone usage preferences in this connectivity model. Results show a shift in app demand, with citizens favoring everyday apps over dedicated crisis apps in certain scenarios. We further prioritize smartphone services based on their criticality, distinguishing between apps essential for crisis response and those supporting routine. Our findings provide insights for operators and developers in making user-centric design decisions during the realization of local connectivity in isolated cities.},

keywords = {Full Paper, Honorable Mention, Understanding People},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Baeumler2025TowardsYouthsensitive,

title = {Towards Youth-Sensitive Hateful Content Reporting: An Inclusive Focus Group Study in Germany},

author = {Julian Bäumler (PEASEC, TU Darmstadt), Helen Bader (PEASEC, TU Darmstadt), Marc-André Kaufhold (PEASEC, TU Darmstadt), Christian Reuter (PEASEC, TU Darmstadt)},

url = {https://peasec.de/, website 

https://www.linkedin.com/company/peasecde/, research group linkedin

https://www.linkedin.com/in/julian-b%C3%A4umler-2667b8196/, author\\\'s linkedin

https://bsky.app/profile/peasec.de, bsky},

doi = {10.1145/3706598.3713542},

year  = {2025},

date = {2025-04-26},

urldate = {2025-04-26},

abstract = {Youth are particularly likely to encounter hateful internet content, which can severely impact their well-being. While most social media provide reporting mechanisms, in several countries, severe hateful content can alternatively be reported to law enforcement or dedicated reporting centers. However, in Germany, many youth never resort to reporting. While research in human-computer interaction has investigated adults' views on platform-based reporting, youth perspectives and platform-independent alternatives have received little attention. By involving a diverse group of 47 German adolescents and young adults in eight focus group interviews, we investigate how youth-sensitive reporting systems for hateful content can be designed. We explore German youth’s reporting barriers, finding that on platforms, they feel particularly discouraged by deficient rule enforcement and feedback, while platform-independent alternatives are rather unknown and perceived as time-consuming and disruptive. We further elicit their requirements for platform-independent reporting tools and contribute with heuristics for designing youth-sensitive and inclusive reporting systems.},

keywords = {Full Paper, Honorable Mention, Preventing Digital Harm},

pubstate = {published},

tppubtype = {inproceedings}

}