@article{SchartmuellerWeiglLoeckenetal.2021, author = {Schartm{\"u}ller, Clemens and Weigl, Klemens and L{\"o}cken, Andreas and Wintersberger, Philipp and Steinhauser, Marco and Riener, Andreas}, title = {Displays for Productive Non-Driving Related Tasks: Visual Behavior and Its Impact in Conditionally Automated Driving}, volume = {5}, pages = {21}, journal = {Multimodal Technologies and Interaction}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti5040021}, year = {2021}, abstract = {(1) Background: Primary driving tasks are increasingly being handled by vehicle automation so that support for non-driving related tasks (NDRTs) is becoming more and more important. In SAE L3 automation, vehicles can require the driver-passenger to take over driving controls, though. Interfaces for NDRTs must therefore guarantee safe operation and should also support productive work. (2) Method: We conducted a within-subjects driving simulator study (N=53) comparing Heads-Up Displays (HUDs) and Auditory Speech Displays (ASDs) for productive NDRT engagement. In this article, we assess the NDRT displays' effectiveness by evaluating eye-tracking measures and setting them into relation to workload measures, self-ratings, and NDRT/take-over performance. (3) Results: Our data highlights substantially higher gaze dispersion but more extensive glances on the road center in the auditory condition than the HUD condition during automated driving. We further observed potentially safety-critical glance deviations from the road during take-overs after a HUD was used. These differences are reflected in self-ratings, workload indicators and take-over reaction times, but not in driving performance. (4) Conclusion: NDRT interfaces can influence visual attention even beyond their usage during automated driving. In particular, the HUD has resulted in safety-critical glances during manual driving after take-overs. We found this impacted workload and productivity but not driving performance}, language = {en} } @article{RieglerRienerHolzmann2021, author = {Riegler, Andreas and Riener, Andreas and Holzmann, Clemens}, title = {A systematic review of virtual reality applications for automated driving: 2009-2020}, volume = {3}, pages = {689856}, journal = {Frontiers in human dynamics}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2673-2726}, doi = {https://doi.org/10.3389/fhumd.2021.689856}, year = {2021}, abstract = {While virtual reality (VR) interfaces have been researched extensively over the last decades, studies on their application in vehicles have only recently advanced. In this paper, we systematically review 12 years of VR research in the context of automated driving (AD), from 2009 to 2020. Due to the multitude of possibilities for studies with regard to VR technology, at present, the pool of findings is heterogeneous and non-transparent. We investigated N = 176 scientific papers of relevant journals and conferences with the goal to analyze the status quo of existing VR studies in AD, and to classify the related literature into application areas. We provide insights into the utilization of VR technology which is applicable at specific level of vehicle automation and for different users (drivers, passengers, pedestrians) and tasks. Results show that most studies focused on designing automotive experiences in VR, safety aspects, and vulnerable road users. Trust, simulator and motion sickness, and external human-machine interfaces (eHMIs) also marked a significant portion of the published papers, however a wide range of different parameters was investigated by researchers. Finally, we discuss a set of open challenges, and give recommendation for future research in automated driving at the VR side of the reality-virtuality continuum.}, language = {en} } @article{SchussWintersbergerRiener2021, author = {Schuß, Martina and Wintersberger, Philipp and Riener, Andreas}, title = {Security Issues in Shared Automated Mobility Systems: A Feminist HCI Perspective}, volume = {5}, pages = {43}, journal = {Multimodal Technologies and Interaction}, number = {8}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti5080043}, year = {2021}, abstract = {The spread of automated vehicles (AVs) is expected to disrupt our mobility behavior. Currently, a male bias is prevalent in the technology industry in general, and in the automotive industry in particular, mainly focusing on white men. This leads to an under-representation of groups of people with other social, physiological, and psychological characteristics. The advent of automated driving (AD) should be taken as an opportunity to mitigate this bias and consider a diverse variety of people within the development process. We conducted a qualitative, exploratory study to investigate how shared automated vehicles (SAVs) should be designed from a pluralistic perspective considering a holistic viewpoint on the whole passenger journey by including booking, pick-up, and drop-off points. Both, men and women, emphasized the importance of SAVs being flexible and clean, whereas security issues were mentioned exclusively by our female participants. While proposing different potential solutions to mitigate security matters, we discuss them through the lens of the feminist HCI framework.}, language = {en} } @article{RienerSchlacklMalsametal.2021, author = {Riener, Andreas and Schlackl, Dominik and Malsam, Julia and Huber, Josef and Homm, Benjamin and Kaczmar, Marion and Kleitsch, Iris and Megos, Alina and Park, Eunji and Sanverdi, G{\"u}ls{\"u}m and Schmidt, Sabrina and Bracaci, Daniel and Anees, Esha}, title = {Improving the UX for Users of Automated Shuttle Buses in Public Transport: Investigating Aspects of Exterior Communication and Interior Design}, volume = {5}, pages = {61}, journal = {Multimodal Technologies and Interaction}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti5100061}, year = {2021}, abstract = {As a precursor to future public transportation, automated shuttle buses can already be experienced in some test regions, but the general public still has reservations and may not yet be ready for this change. For example, the fact that such vehicles might operate independently (without a human driver) creates a barrier of uncertainty and mistrust among people. In this work, we aim to identify and classify the prevailing reservations and propose solutions. We followed the User Centered Design (UCD) process to design concepts that are specifically tailored to the needs of future public transport users. After related work analysis, on-site research, and pre-studies, two main studies were conducted specifically to address communication in the exterior (n = 24) and interior/service design (n = 21). For both studies, we applied a mixed-methods approach combining quantitative and qualitative measures. Our results indicate that, in general, existing ways of communication in the exterior are insufficient to meet future needs. The two visualization concepts for external communication developed in this work were rated (significantly) better in most dimensions of the User Experience Questionnaire (UEQ), when compared to the baseline condition with no additional visualization. Furthermore, preferences among the study participants towards simple, highly visible, and well-known lighting concepts could be observed. As for the interior, the results show that participants rated attractiveness highly for the two design concepts (closer, further in the future) as compared to current, state-of-the-art solutions (automated buses currently in operation). For the "near future" concept, the pragmatic quality dominated, while in the other (the "far future") concept the hedonic quality was in the foreground. From the results, design recommendations in different categories were derived, which reflect the general openness of the public towards new technologies and interior approaches, but also point out the importance for privacy and designated personal spaces inside an (automated) shuttle bus. Some of the results do not strictly apply to automated shuttle buses, and can serve as valuable suggestions for improving conventional shuttle buses.}, language = {en} } @article{DeyHabibovicLoeckenetal.2020, author = {Dey, Debargha and Habibovic, Azra and L{\"o}cken, Andreas and Wintersberger, Philipp and Pfleging, Bastian and Riener, Andreas and Martens, Marieke and Terken, Jacques}, title = {Taming the eHMI jungle: A classification taxonomy to guide, compare, and assess the design principles of automated vehicles' external human-machine interfaces}, volume = {2020}, pages = {100174}, journal = {Transportation Research Interdisciplinary Perspectives}, number = {7}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-1982}, doi = {https://doi.org/10.1016/j.trip.2020.100174}, year = {2020}, abstract = {There is a growing body of research in the field of interaction between automated vehicles and other road users in their vicinity. To facilitate such interactions, researchers and designers have explored designs, and this line of work has yielded several concepts of external Human-Machine Interfaces (eHMI) for vehicles. Literature and media review reveals that the description of interfaces is often lacking in fidelity or details of their functionalities in specific situations, which makes it challenging to understand the originating concepts. There is also a lack of a universal understanding of the various dimensions of a communication interface, which has impeded a consistent and coherent addressal of the different aspects of the functionalities of such interface concepts. In this paper, we present a unified taxonomy that allowsa systematic comparison of the eHMI across 18 dimensions, covering their physical characteristics and communication aspects from the perspective of human factors and human-machine interaction. We analyzed and coded 70eHMI concepts according to this taxonomy to portray the state of the art and highlight the relative maturity of different contributions. The results point to a number of unexplored research areas that could inspire future work. Additionally, we believe that our proposed taxonomy can serve as a checklist for user interface designers and researchers when developing their interfaces.}, language = {en} } @article{FrisonForsterWintersbergeretal.2020, author = {Frison, Anna-Katharina and Forster, Yannick and Wintersberger, Philipp and Geisel, Viktoria and Riener, Andreas}, title = {Where We Come from and Where We Are Going: A Systematic Review of Human Factors Research in Driving Automation}, volume = {10}, pages = {8914}, journal = {Applied Sciences}, number = {24}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {https://doi.org/10.3390/app10248914}, year = {2020}, abstract = {During the last decade, research has brought forth a large amount of studies that investigated driving automation from a human factor perspective. Due to the multitude of possibilities for the study design with regard to the investigated constructs, data collection methods, and evaluated parameters, at present, the pool of findings is heterogeneous and nontransparent. This literature review applied a structured approach, where five reviewers investigated n = 161 scientific papers of relevant journals and conferences focusing on driving automation between 2010 and 2018. The aim was to present an overview of the status quo of existing methodological approaches and investigated constructs to help scientists in conducting research with established methods and advanced study setups. Results show that most studies focused on safety aspects, followed by trust and acceptance, which were mainly collected through self-report measures. Driving/Take-Over performance also marked a significant portion of the published papers; however, a wide range of different parameters were investigated by researchers. Based on our insights, we propose a set of recommendations for future studies. Amongst others, this includes validation of existing results on real roads, studying long-term effects on trust and acceptance (and of course other constructs), or triangulation of self-reported and behavioral data. We furthermore emphasize the need to establish a standardized set of parameters for recurring use cases to increase comparability. To assure a holistic contemplation of automated driving, we moreover encourage researchers to investigate other constructs that go beyond safety.}, language = {en} } @article{KundingerYalavarthiRieneretal.2020, author = {Kundinger, Thomas and Yalavarthi, Phani Krishna and Riener, Andreas and Wintersberger, Philipp and Schartm{\"u}ller, Clemens}, title = {Feasibility of smart wearables for driver drowsiness detection and its potential among different age groups}, volume = {16}, journal = {International Journal of Pervasive Computing and Communications}, number = {1}, publisher = {Emerald}, address = {Bingley}, issn = {1742-7371}, doi = {https://doi.org/10.1108/IJPCC-03-2019-0017}, pages = {1 -- 23}, year = {2020}, language = {en} } @article{HasirliogluRiener2019, author = {Hasirlioglu, Sinan and Riener, Andreas}, title = {A General Approach for Simulating Rain Effects on Sensor Data in Real and Virtual Environments}, volume = {5}, journal = {IEEE Transactions on Intelligent Vehicles}, number = {3}, publisher = {IEEE}, address = {New York}, issn = {2379-8904}, doi = {https://doi.org/10.1109/TIV.2019.2960944}, pages = {426 -- 438}, year = {2019}, language = {en} } @article{RieglerWintersbergerRieneretal.2019, author = {Riegler, Andreas and Wintersberger, Philipp and Riener, Andreas and Holzmann, Clemens}, title = {Augmented Reality Windshield Displays and Their Potential to Enhance User Experience in Automated Driving}, volume = {18}, journal = {i-com: Journal of Interactive Media}, number = {2}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-6826}, doi = {https://doi.org/10.1515/icom-2018-0033}, pages = {127 -- 149}, year = {2019}, language = {en} } @article{vonSawitzkyGrauschopfRiener2021, author = {von Sawitzky, Tamara and Grauschopf, Thomas and Riener, Andreas}, title = {"Attention! A Door Could Open."—Introducing Awareness Messages for Cyclists to Safely Evade Potential Hazards}, volume = {6}, pages = {3}, journal = {Multimodal Technologies and Interaction}, number = {1}, publisher = {MDPI}, address = {Basel}, issn = {2414-4088}, doi = {https://doi.org/10.3390/mti6010003}, year = {2021}, abstract = {Numerous statistics show that cyclists are often involved in road traffic accidents, often with serious outcomes. One potential hazard of cycling, especially in cities, is "dooring"—passing parked vehicles that still have occupants inside. These occupants could open the vehicle door unexpectedly in the cyclist's path—requiring a quick evasive response by the cyclist to avoid a collision. Dooring can be very poorly anticipated; as a possible solution, we propose in this work a system that notifies the cyclist of opening doors based on a networked intelligent transportation infrastructure. In a user study with a bicycle simulator (N = 24), we examined the effects of three user interface designs compared to a baseline (no notifications) on cycling behavior (speed and lateral position), perceived safety, and ease of use. Awareness messages (either visual message, visual message + auditory icon, or visual + voice message) were displayed on a smart bicycle helmet at different times before passing a parked, still-occupied vehicle. Our participants found the notifications of potential hazards very easy to understand and appealing and felt that the alerts could help them navigate traffic more safely. Those concepts that (additionally) used auditory icons or voice messages were preferred. In addition, the lateral distance increased significantly when a potentially opening door was indicated. In these situations, cyclists were able to safely pass the parked vehicle without braking. In summary, we are convinced that notification systems, such as the one presented here, are an important component for increasing road safety, especially for vulnerable road users.}, language = {en} } @unpublished{FlohrSchussWallachetal.2023, author = {Flohr, Lukas A. and Schuß, Martina and Wallach, Dieter P. and Kr{\"u}ger, Antonio and Riener, Andreas}, title = {Designing for Passengers' Information Needs on Fellow Travelers: A Comparison of Day and Night Rides in Shared Automated Vehicles}, publisher = {arXiv}, address = {Ithaca}, doi = {https://doi.org/10.48550/arXiv.2308.02616}, year = {2023}, abstract = {Shared automated mobility-on-demand promises efficient, sustainable, and flexible transportation. Nevertheless, security concerns, resilience, and their mutual influence - especially at night - will likely be the most critical barriers to public adoption since passengers have to share rides with strangers without a human driver on board. As related work points out that information about fellow travelers might mitigate passengers' concerns, we designed two user interface variants to investigate the role of this information in an exploratory within-subjects user study (N = 24). Participants experienced four automated day and night rides with varying personal information about co-passengers in a simulated environment. The results of the mixed-method study indicate that having information about other passengers (e.g., photo, gender, and name) positively affects user experience at night. In contrast, it is less necessary during the day. Considering participants' simultaneously raised privacy demands poses a substantial challenge for resilient system design.}, language = {en} } @inproceedings{RosbachAmmelingKruegeletal.2025, author = {Rosbach, Emely and Ammeling, Jonas and Kr{\"u}gel, Sebastian and Kießig, Angelika and Fritz, Alexis and Ganz, Jonathan and Puget, Chlo{\´e} and Donovan, Taryn and Klang, Andrea and K{\"o}ller, Maximilian C. and Bolfa, Pompei and Tecilla, Marco and Denk, Daniela and Kiupel, Matti and Paraschou, Georgios and Kok, Mun Keong and Haake, Alexander F. H. and de Krijger, Ronald R. and Sonnen, Andreas F.-P. and Kasantikul, Tanit and Dorrestein, Gerry M. and Smedley, Rebecca C. and Stathonikos, Nikolas and Uhl, Matthias and Bertram, Christof and Riener, Andreas and Aubreville, Marc}, 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}, pages = {528}, booktitle = {CHI'25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems}, editor = {Yamashita, Naomi and Evers, Vanessa and Yatani, Koji and Ding, Xianghua and Lee, Bongshin and Chetty, Marshini and Toups-Dugas, Phoebe}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-1394-1}, doi = {https://doi.org/10.1145/3706598.3713319}, year = {2025}, 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, like confirmation bias caused by false confirmation when erroneous human opinions are reinforced by inaccurate AI output. This bias may increase under time pressure, a ubiquitous factor in routine pathology, as it 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 fuels 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 in healthcare and aim to support the safe integration of clinical decision support systems.}, language = {en} } @inproceedings{MichahellesRienerGrundeletal.2024, author = {Michahelles, Florian and Riener, Andreas and Grundel, Ida and Boztepe, Suzan and Trygg, Kristina and Israel, Habakuk and Pfleging, Bastian and Veenstra, Mettina and Wintersberger, Philipp}, title = {Urban-Engage: Pioneering Urban Planning with Citizen-Driven 15-Minute City Solutions}, booktitle = {Mensch und Computer 2024 - Workshopband}, publisher = {Gesellschaft f{\"u}r Informatik}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2024-mci-ws16-393}, year = {2024}, abstract = {We propose an innovative approach to empower urban planners by integrating comprehensive and qualified citizen input into the planning of the 15-minute city (15mC) through immersive digital technologies. Our methodology includes (1) enabling citizens to annotate their real environment using augmented reality, (2) generating urban space alternatives based on generative AI and citizen annotations, (3) allowing modifications to AI-generated alternatives, (4) providing immersive 3D simulation environments for experiencing these alternatives, and (5) facilitating better negotiation between citizens and political players to identify the optimal solution. This process aims to account for diverse stakeholder interests, ensuring inclusive contributions and an experiential understanding of potential urban adaptation.}, language = {en} } @unpublished{PaulaBauderPfeilschifteretal.2023, author = {Paula, Daniel and Bauder, Maximilian and Pfeilschifter, Claus and Petermeier, Franziska and Kubjatko, Tibor and B{\"o}hm, Klaus and Riener, Andreas and Schweiger, Hans-Georg}, title = {Impact of Partially Automated Driving Functions on Forensic Accident Reconstruction: A Simulator Study on Driver Reaction Behavior in the Event of a Malfunctioning System Behavior}, publisher = {Preprints}, address = {Basel}, doi = {https://doi.org/10.20944/preprints202311.0947.v1}, year = {2023}, abstract = {Partially automated driving functions (SAE Level 2) can control a vehicle's longitudinal and lateral movements. However, taking over the driving task involves automation risks that the driver must manage. In severe accidents, the driver's ability to avoid a collision must be assessed, considering their expected reaction behavior. The primary goal of this study is to generate essential data on driver reaction behavior in case of malfunctions in partially automated driving functions for use in legal affairs. A simulator study with two scenarios involving 32 subjects was conducted for this purpose. The first scenario investigated driver reactions to system limitations during cornering. The second scenario examined driver responses to phantom braking caused by the AEBS. As a result, the first scenario shows that none of the subjects could control the situation safely. Due to partial automation, we could also identify a new part of the reaction time, the hands-on time, which leads to increased steering reaction times of 1.18 to 1.74 seconds. In the second scenario, we found that 25 of the 32 subjects could not override the phantom braking by pressing the accelerator pedal, although 16 subjects were informed about the system analog to the actual vehicle manuals. Overall, the study suggests that the current legal perspective on vehicle control and the expected driver reaction behavior for accident avoidance should be reconsidered.}, language = {en} } @inproceedings{MangerPreiwischGambirasioetal.2023, author = {Manger, Carina and Preiwisch, Anna and Gambirasio, Chiara and Golks, Simon and Schuß, Martina and Riener, Andreas}, title = {We're in This Together: Exploring Explanation Needs and Methods in Shared Automated Shuttle Buses}, booktitle = {Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia}, editor = {Michahelles, Florian and Knierim, Pascal and H{\"a}kkil{\"a}, Jonna}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0921-0}, doi = {https://doi.org/10.1145/3626705.3627798}, pages = {145 -- 151}, year = {2023}, language = {en} } @inproceedings{MangerPuschThoeneetal.2023, author = {Manger, Carina and Pusch, Florian and Th{\"o}ne, Manuel and Wenger, Marco and L{\"o}cken, Andreas and Riener, Andreas}, title = {Explainability in Automated Parking: The Effect of Augmented Reality Visualizations on User Experience and Situation Awareness}, booktitle = {Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia}, editor = {Michahelles, Florian and Knierim, Pascal and H{\"a}kkil{\"a}, Jonna}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0921-0}, doi = {https://doi.org/10.1145/3626705.3627796}, pages = {146 -- 152}, year = {2023}, language = {en} } @article{HimmelsWeiglRieneretal.2023, author = {Himmels, Chantal and Weigl, Klemens and Riener, Andreas and Venrooij, Joost}, title = {Establishing driving simulator validity: drawbacks of null-hypothesis significance testing when compared to equivalence tests and Bayes factors}, volume = {25}, journal = {Theoretical Issues in Ergonomics Science}, number = {5}, publisher = {Taylor \& Francis}, address = {London}, issn = {1464-536X}, doi = {https://doi.org/10.1080/1463922X.2023.2286478}, pages = {546 -- 566}, year = {2023}, language = {en} } @inproceedings{MangerPeintnerDevarajuetal.2023, author = {Manger, Carina and Peintner, Jakob and Devaraju, Manoj and Riener, Andreas}, title = {Good Vibes Only: A Comparative Study of Seat Vibration Concepts for Redirecting Driver Attention During Visual Distraction}, booktitle = {Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia}, editor = {Michahelles, Florian and Knierim, Pascal and H{\"a}kkil{\"a}, Jonna}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0921-0}, doi = {https://doi.org/10.1145/3626705.3631786}, pages = {492 -- 494}, year = {2023}, language = {en} } @inproceedings{EscherMangerDaouetal.2023, author = {Escher, Bengt and Manger, Carina and Daou, Makram and D{\"u}nninger, Theresa and Riener, Andreas}, title = {A Comparative Analysis of Preferred Communication Options of Passengers in Networked Shared Automated Vehicles}, booktitle = {Proceedings of MUM 2023: the 22nd International Conference on Mobile and Ubiquitous Multimedia}, editor = {Michahelles, Florian and Knierim, Pascal and H{\"a}kkil{\"a}, Jonna}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-0921-0}, doi = {https://doi.org/10.1145/3626705.3631801}, pages = {541 -- 543}, year = {2023}, language = {en} } @article{GoebelPeuckmannKundingeretal.2025, author = {G{\"o}bel, Jan-Philipp and Peuckmann, Niklas and Kundinger, Thomas and Riener, Andreas}, title = {Fusion of Driving Behavior and Monitoring System in Scenarios of Driving Under the Influence: An Experimental Approach}, volume = {15}, pages = {5302}, journal = {Applied Sciences}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {https://doi.org/10.3390/app15105302}, year = {2025}, abstract = {Driving under the influence of alcohol (DUI) remains a leading cause of accidents globally, with accident risk rising exponentially with blood alcohol concentration (BAC). This study aims to distinguish between sober and intoxicated drivers using driving behavior analysis and driver monitoring system (DMS), technologies that align with emerging EU regulations. In a driving simulator, twenty-three participants (average age: 32) completed five drives (one practice and two each while sober and intoxicated) on separate days across city, rural, and highway settings. Each 30-minute drive was analyzed using eye-tracking and driving behavior data. We applied significance testing and classification models to assess the data. Our study goes beyond the state of the art by a) combining data from various sensors and b) not only examining the effects of alcohol on driving behavior but also using these data to classify driver impairment. Fusing gaze and driving behavior data improved classification accuracy, with models achieving over 70\% accuracy in city and rural conditions and a Long Short-Term Memory (LSTM) network reaching up to 80\% on rural roads. Although the detection rate is, of course, still far too low for a productive system, the results nevertheless provide valuable insights for improving DUI detection technologies and enhancing road safety.}, language = {en} }