@inproceedings{SchartmuellerWintersbergerRieneretal.2020, author = {Schartm{\"u}ller, Clemens and Wintersberger, Philipp and Riener, Andreas and Kun, Andrew and Brewster, Stephen and Shaer, Orit}, title = {AutoWork 2020: Second Workshop on the Future of Work and Well-Being in Automated Vehicles}, booktitle = {Adjunct Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8065-2}, doi = {https://doi.org/10.1145/3409251.3411738}, pages = {113 -- 116}, year = {2020}, language = {en} } @inproceedings{RieglerAksoyRieneretal.2020, author = {Riegler, Andreas and Aksoy, Bilal and Riener, Andreas and Holzmann, Clemens}, title = {Gaze-based Interaction with Windshield Displays for Automated Driving: Impact of Dwell Time and Feedback Design on Task Performance and SubjectiveWorkload}, booktitle = {Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8065-2}, doi = {https://doi.org/10.1145/3409120.3410654}, pages = {151 -- 160}, year = {2020}, language = {en} } @inproceedings{WintersbergerNicklasMartlbaueretal.2020, author = {Wintersberger, Philipp and Nicklas, Hannah and Martlbauer, Thomas and Hammer, Stephan and Riener, Andreas}, title = {Explainable Automation: Personalized and Adaptive UIs to Foster Trust and Understanding of Driving Automation Systems}, booktitle = {Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8065-2}, doi = {https://doi.org/10.1145/3409120.3410659}, pages = {252 -- 261}, year = {2020}, language = {en} } @inproceedings{SadeghianMeschtscherjakovPflegingetal.2020, author = {Sadeghian, Shadan and Meschtscherjakov, Alexander and Pfleging, Bastian and Donmez, Birsen and Riener, Andreas and Janssen, Christian P. and Kun, Andrew and Ju, Wendy and Remy, Christian and Wintersberger, Philipp}, title = {Should I Stay or Should I Go? Automated Vehicles in the Age of Climate Change}, booktitle = {CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-6819-3}, doi = {https://doi.org/10.1145/3334480.3375162}, year = {2020}, language = {en} } @inproceedings{SchartmuellerSarcarRieneretal.2020, author = {Schartm{\"u}ller, Clemens and Sarcar, Sayan and Riener, Andreas and Kun, Andrew and Shaer, Orit and Boyle, Linda Ng and Iqbal, Shamsi}, title = {Automated Cars as Living Rooms and Offices: Challenges and Opportunities}, booktitle = {CHI'20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-6819-3}, doi = {https://doi.org/10.1145/3334480.3381054}, year = {2020}, language = {en} } @inproceedings{RieglerAnthesHolzmannetal.2021, author = {Riegler, Andreas and Anthes, Christoph and Holzmann, Clemens and Riener, Andreas and Mohseni, Shiva}, title = {AutoSimAR: In-Vehicle Cross-Virtuality Transitions between Planar Displays and 3D Augmented Reality Spaces}, booktitle = {ISS'21 Workshop Proceedings: "Transitional Interfaces in Mixed and Cross-Reality: A new frontier?"}, publisher = {ACM}, address = {New York}, url = {https://idux-jetter.org/ti-iss2021/}, doi = {https://dx.doi.org/10.18148/kops/352-2-1udvl21t4wfns7}, year = {2021}, language = {en} } @inproceedings{vonSawitzkyWintersbergerMatviienkoetal.2021, author = {von Sawitzky, Tamara and Wintersberger, Philipp and Matviienko, Andrii and L{\"o}cken, Andreas and Riener, Andreas and Michahelles, Florian}, title = {Workshop on Intelligent Cyclist Support Systems and Applications}, booktitle = {Mensch und Computer 2021 - Workshopband}, editor = {Wienrich, Carolin and Wintersberger, Philipp and Weyers, Benjamin}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2021-mci-ws12-122}, year = {2021}, language = {en} } @inproceedings{RienerPeintnerPflegingetal.2021, author = {Riener, Andreas and Peintner, Jakob and Pfleging, Bastian and Detjen, Henrik and Braun, Michael}, title = {9th Workshop Automotive HMIs: natural and Adaptive UIs to Support Future Vehicles}, booktitle = {Mensch und Computer 2021 - Workshopband}, editor = {Wienrich, Carolin and Wintersberger, Philipp and Weyers, Benjamin}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2021-mci-ws10-119}, year = {2021}, language = {en} } @inproceedings{StuetzRiener2021, author = {St{\"u}tz, Lena and Riener, Andreas}, title = {Let's chat internal: user acceptance of an in-company service desk chatbot}, booktitle = {Tagungsband Mensch \& Computer 2021}, editor = {Schneegass, Stefan and Pfleging, Bastian and Kern, Dagmar}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8645-6}, doi = {https://doi.org/10.1145/3473856.3474005}, pages = {557 -- 562}, year = {2021}, language = {en} } @inproceedings{SchartmuellerRienerPfeilschifteretal.2021, author = {Schartm{\"u}ller, Clemens and Riener, Andreas and Pfeilschifter, Claus and Hegner, Franziska}, title = {The (mobile) driving experience lab: bridging research and knowledge transfer to the general public}, booktitle = {Tagungsband Mensch \& Computer 2021}, editor = {Schneegass, Stefan and Pfleging, Bastian and Kern, Dagmar}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8645-6}, doi = {https://doi.org/10.1145/3473856.3474028}, pages = {582 -- 585}, year = {2021}, language = {en} } @inproceedings{RieglerRienerHolzmann2021, author = {Riegler, Andreas and Riener, Andreas and Holzmann, Clemens}, title = {Workshop on Mixed Reality Applications for In-Vehicle Experiences in Automated Driving}, booktitle = {Mensch und Computer 2021 - Workshopband}, editor = {Wienrich, Carolin and Wintersberger, Philipp and Weyers, Benjamin}, publisher = {Gesellschaft f{\"u}r Informatik e.V.}, address = {Bonn}, doi = {https://doi.org/10.18420/muc2021-mci-ws03-108}, year = {2021}, language = {en} } @inproceedings{vonSawitzkyGrauschopfRiener2020, author = {von Sawitzky, Tamara and Grauschopf, Thomas and Riener, Andreas}, title = {No Need to Slow Down! A Head-up Display Based Warning System for Cyclists for Safe Passage of Parked Vehicles}, booktitle = {Adjunct Proceedings: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8066-9}, doi = {https://doi.org/10.1145/3409251.3411708}, pages = {1 -- 3}, year = {2020}, language = {en} } @inproceedings{SchussRiener2020, author = {Schuß, Martina and Riener, Andreas}, title = {"Give Me the Keys, I'll Drive!": Results from an Exploratory Interview Study to Assess Public's Desires and Concerns on Automated Valet Parking}, booktitle = {Adjunct Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications}, publisher = {ACM}, address = {New York}, issn = {978-1-4503-8066-9}, doi = {https://doi.org/10.1145/3409251.3411712}, pages = {16 -- 18}, year = {2020}, language = {en} } @article{EzzatiAminiKatrakazasRieneretal.2021, author = {Ezzati Amini, Roja and Katrakazas, Christos and Riener, Andreas and Antoniou, Constantinos}, title = {Interaction of automated driving systems with pedestrians}, volume = {41}, journal = {Transport Reviews}, subtitle = {challenges, current solutions, and recommendations for eHMIs}, number = {6}, publisher = {Taylor \& Francis}, address = {London}, issn = {1464-5327}, doi = {https://doi.org/10.1080/01441647.2021.1914771}, pages = {788 -- 813}, year = {2021}, language = {en} } @article{WintersbergerJanottaPeintneretal.2021, author = {Wintersberger, Philipp and Janotta, Frederica and Peintner, Jakob and L{\"o}cken, Andreas and Riener, Andreas}, title = {Evaluating feedback requirements for trust calibration in automated vehicles}, volume = {63}, journal = {it - Information Technology}, number = {2}, publisher = {De Gruyter}, address = {Berlin}, issn = {1611-2776}, doi = {https://doi.org/10.1515/itit-2020-0024}, pages = {111 -- 122}, year = {2021}, language = {en} } @article{WeiglSchartmuellerWintersbergeretal.2021, author = {Weigl, Klemens and Schartm{\"u}ller, Clemens and Wintersberger, Philipp and Steinhauser, Marco and Riener, Andreas}, title = {The influence of experienced severe road traffic accidents on take-over reactions and non-driving-related tasks in an automated driving simulator study}, volume = {2021}, pages = {106408}, journal = {Accident Analysis \& Prevention}, number = {162}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0001-4575}, doi = {https://doi.org/10.1016/j.aap.2021.106408}, year = {2021}, language = {en} } @inproceedings{KronesterRienerBabic2021, author = {Kronester, Michael Julian and Riener, Andreas and Babic, Teo}, title = {Potential of Wrist-worn Vibrotactile Feedback to Enhance the Perception of Virtual Objects during Mid-air Gestures}, pages = {256}, booktitle = {CHI'21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8095-9}, doi = {https://doi.org/10.1145/3411763.3451655}, year = {2021}, language = {en} } @inproceedings{SavinovonSawitzkyMatviienkoetal.2021, author = {Savino, Gian-Luca and von Sawitzky, Tamara and Matviienko, Andrii and Sturdee, Miriam and Wozniak, Pawel and L{\"o}chtefeld, Markus and Kun, Andrew and Riener, Andreas and H{\"a}kkil{\"a}, Jonna}, title = {Cycling@CHI: Towards a Research Agenda for HCI in the Bike Lane}, pages = {107}, booktitle = {CHI'21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems}, publisher = {ACM}, address = {New York}, isbn = {978-1-4503-8095-9}, doi = {https://doi.org/10.1145/3411763.3441316}, year = {2021}, language = {en} } @article{WeiglForstner2020, author = {Weigl, Klemens and Forstner, Thomas}, title = {Design of paper-based visual analogue scale items}, volume = {81}, journal = {Educational and Psychological Measurement}, number = {3}, publisher = {Sage}, address = {London}, issn = {1552-3888}, doi = {https://doi.org/10.1177\%2F0013164420952118}, pages = {595 -- 611}, year = {2020}, language = {en} } @article{FloresFernandezWurstSanchezMoralesetal.2022, author = {Flores Fern{\´a}ndez, Alberto and Wurst, Jonas and S{\´a}nchez Morales, Eduardo and Botsch, Michael and Facchi, Christian and Garc{\´i}a Higuera, Andr{\´e}s}, title = {Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction}, volume = {22}, pages = {4498}, journal = {Sensors}, number = {12}, publisher = {MDPI}, address = {Basel}, issn = {1424-8220}, doi = {https://doi.org/10.3390/s22124498}, year = {2022}, abstract = {The prediction of the motion of traffic participants is a crucial aspect for the research and development of Automated Driving Systems (ADSs). Recent approaches are based on multi-modal motion prediction, which requires the assignment of a probability score to each of the multiple predicted motion hypotheses. However, there is a lack of ground truth for this probability score in the existing datasets. This implies that current Machine Learning (ML) models evaluate the multiple predictions by comparing them with the single real trajectory labeled in the dataset. In this work, a novel data-based method named Probabilistic Traffic Motion Labeling (PROMOTING) is introduced in order to (a) generate probable future routes and (b) estimate their probabilities. PROMOTING is presented with the focus on urban intersections. The generation of probable future routes is (a) based on a real traffic dataset and consists of two steps: first, a clustering of intersections with similar road topology, and second, a clustering of similar routes that are driven in each cluster from the first step. The estimation of the route probabilities is (b) based on a frequentist approach that considers how traffic participants will move in the future given their motion history. PROMOTING is evaluated with the publicly available Lyft database. The results show that PROMOTING is an appropriate approach to estimate the probabilities of the future motion of traffic participants in urban intersections. In this regard, PROMOTING can be used as a labeling approach for the generation of a labeled dataset that provides a probability score for probable future routes. Such a labeled dataset currently does not exist and would be highly valuable for ML approaches with the task of multi-modal motion prediction. The code is made open source.}, language = {en} }