TY - CHAP A1 - Schartmüller, Clemens A1 - Wintersberger, Philipp A1 - Riener, Andreas A1 - Kun, Andrew A1 - Brewster, Stephen A1 - Shaer, Orit T1 - AutoWork 2020: Second Workshop on the Future of Work and Well-Being in Automated Vehicles T2 - Adjunct Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3409251.3411738 KW - automated driving KW - human-computer interaction KW - work KW - wellbeing KW - safety KW - workshop Y1 - 2020 UR - https://doi.org/10.1145/3409251.3411738 SN - 978-1-4503-8065-2 SP - 113 EP - 116 PB - ACM CY - New York ER - TY - CHAP A1 - Riegler, Andreas A1 - Aksoy, Bilal A1 - Riener, Andreas A1 - Holzmann, Clemens T1 - Gaze-based Interaction with Windshield Displays for Automated Driving: Impact of Dwell Time and Feedback Design on Task Performance and SubjectiveWorkload T2 - Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3409120.3410654 KW - gaze-based interaction KW - feedback design KW - dwell time KW - windshield display KW - automated driving KW - user study KW - virtual reality Y1 - 2020 UR - https://doi.org/10.1145/3409120.3410654 SN - 978-1-4503-8065-2 SP - 151 EP - 160 PB - ACM CY - New York ER - TY - CHAP A1 - Wintersberger, Philipp A1 - Nicklas, Hannah A1 - Martlbauer, Thomas A1 - Hammer, Stephan A1 - Riener, Andreas T1 - Explainable Automation: Personalized and Adaptive UIs to Foster Trust and Understanding of Driving Automation Systems T2 - Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3409120.3410659 KW - trust in automation KW - automated driving KW - explainable artificial intelligence KW - augmented reality KW - feedback systems KW - user centered design KW - interview studies Y1 - 2020 UR - https://doi.org/10.1145/3409120.3410659 SN - 978-1-4503-8065-2 SP - 252 EP - 261 PB - ACM CY - New York ER - TY - CHAP A1 - Sadeghian, Shadan A1 - Meschtscherjakov, Alexander A1 - Pfleging, Bastian A1 - Donmez, Birsen A1 - Riener, Andreas A1 - Janssen, Christian P. A1 - Kun, Andrew A1 - Ju, Wendy A1 - Remy, Christian A1 - Wintersberger, Philipp T1 - Should I Stay or Should I Go? Automated Vehicles in the Age of Climate Change T2 - CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3334480.3375162 KW - automated driving KW - CO2 reduction KW - climate change KW - energy efficient driving KW - collective optimization KW - future mobility Y1 - 2020 UR - https://doi.org/10.1145/3334480.3375162 SN - 978-1-4503-6819-3 PB - ACM CY - New York ER - TY - CHAP A1 - Schartmüller, Clemens A1 - Sarcar, Sayan A1 - Riener, Andreas A1 - Kun, Andrew A1 - Shaer, Orit A1 - Boyle, Linda Ng A1 - Iqbal, Shamsi T1 - Automated Cars as Living Rooms and Offices: Challenges and Opportunities T2 - CHI'20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3334480.3381054 KW - automated driving KW - work KW - well-being KW - special interests group Y1 - 2020 UR - https://doi.org/10.1145/3334480.3381054 SN - 978-1-4503-6819-3 PB - ACM CY - New York ER - TY - CHAP A1 - Riegler, Andreas A1 - Anthes, Christoph A1 - Holzmann, Clemens A1 - Riener, Andreas A1 - Mohseni, Shiva T1 - AutoSimAR: In-Vehicle Cross-Virtuality Transitions between Planar Displays and 3D Augmented Reality Spaces T2 - ISS’21 Workshop Proceedings: "Transitional Interfaces in Mixed and Cross-Reality: A new frontier?" UR - https://dx.doi.org/10.18148/kops/352-2-1udvl21t4wfns7 KW - cross virtuality interaction KW - mixed reality KW - automated driving KW - human factors Y1 - 2021 UR - https://dx.doi.org/10.18148/kops/352-2-1udvl21t4wfns7 UR - https://idux-jetter.org/ti-iss2021/ PB - ACM CY - New York ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Wintersberger, Philipp A1 - Matviienko, Andrii A1 - Löcken, Andreas A1 - Riener, Andreas A1 - Michahelles, Florian ED - Wienrich, Carolin ED - Wintersberger, Philipp ED - Weyers, Benjamin T1 - Workshop on Intelligent Cyclist Support Systems and Applications T2 - Mensch und Computer 2021 - Workshopband UR - https://doi.org/10.18420/muc2021-mci-ws12-122 KW - Intelligent Transport Systems KW - Cyclist Safety, Mobility KW - Vulnerable Road Users KW - Workshop Y1 - 2021 UR - https://doi.org/10.18420/muc2021-mci-ws12-122 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Riener, Andreas A1 - Peintner, Jakob A1 - Pfleging, Bastian A1 - Detjen, Henrik A1 - Braun, Michael ED - Wienrich, Carolin ED - Wintersberger, Philipp ED - Weyers, Benjamin T1 - 9th Workshop Automotive HMIs: natural and Adaptive UIs to Support Future Vehicles T2 - Mensch und Computer 2021 - Workshopband UR - https://doi.org/10.18420/muc2021-mci-ws10-119 KW - contextual UIs KW - automotive HMIs KW - automated Driving KW - natural interaction KW - adaptive interfaces Y1 - 2021 UR - https://doi.org/10.18420/muc2021-mci-ws10-119 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - Stütz, Lena A1 - Riener, Andreas ED - Schneegass, Stefan ED - Pfleging, Bastian ED - Kern, Dagmar T1 - Let’s chat internal: user acceptance of an in-company service desk chatbot T2 - Tagungsband Mensch & Computer 2021 UR - https://doi.org/10.1145/3473856.3474005 Y1 - 2021 UR - https://doi.org/10.1145/3473856.3474005 SN - 978-1-4503-8645-6 SP - 557 EP - 562 PB - ACM CY - New York ER - TY - CHAP A1 - Schartmüller, Clemens A1 - Riener, Andreas A1 - Pfeilschifter, Claus A1 - Hegner, Franziska ED - Schneegass, Stefan ED - Pfleging, Bastian ED - Kern, Dagmar T1 - The (mobile) driving experience lab: bridging research and knowledge transfer to the general public T2 - Tagungsband Mensch & Computer 2021 UR - https://doi.org/10.1145/3473856.3474028 Y1 - 2021 UR - https://doi.org/10.1145/3473856.3474028 SN - 978-1-4503-8645-6 SP - 582 EP - 585 PB - ACM CY - New York ER - TY - CHAP A1 - Riegler, Andreas A1 - Riener, Andreas A1 - Holzmann, Clemens ED - Wienrich, Carolin ED - Wintersberger, Philipp ED - Weyers, Benjamin T1 - Workshop on Mixed Reality Applications for In-Vehicle Experiences in Automated Driving T2 - Mensch und Computer 2021 - Workshopband UR - https://doi.org/10.18420/muc2021-mci-ws03-108 KW - workshop KW - mixed reality KW - automated driving KW - user experience Y1 - 2021 UR - https://doi.org/10.18420/muc2021-mci-ws03-108 PB - Gesellschaft für Informatik e.V. CY - Bonn ER - TY - CHAP A1 - von Sawitzky, Tamara A1 - Grauschopf, Thomas A1 - Riener, Andreas T1 - No Need to Slow Down! A Head-up Display Based Warning System for Cyclists for Safe Passage of Parked Vehicles T2 - Adjunct Proceedings: 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3409251.3411708 KW - Cyclist safety KW - Head-up display prototype KW - Mixed reality simulation KW - Vehicle2x communication Y1 - 2020 UR - https://doi.org/10.1145/3409251.3411708 SN - 978-1-4503-8066-9 SP - 1 EP - 3 PB - ACM CY - New York ER - TY - CHAP A1 - Schuß, Martina A1 - Riener, Andreas T1 - ”Give Me the Keys, I’ll Drive!”: Results from an Exploratory Interview Study to Assess Public’s Desires and Concerns on Automated Valet Parking T2 - Adjunct Proceedings: 12th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications UR - https://doi.org/10.1145/3409251.3411712 KW - automated driving KW - valet parking KW - parking assistants KW - automotive business models Y1 - 2020 UR - https://doi.org/10.1145/3409251.3411712 SN - 978-1-4503-8066-9 SP - 16 EP - 18 PB - ACM CY - New York ER - TY - JOUR A1 - Ezzati Amini, Roja A1 - Katrakazas, Christos A1 - Riener, Andreas A1 - Antoniou, Constantinos T1 - Interaction of automated driving systems with pedestrians BT - challenges, current solutions, and recommendations for eHMIs JF - Transport Reviews UR - https://doi.org/10.1080/01441647.2021.1914771 KW - Automated driving systems KW - pedestrian behaviour KW - ADS–pedestrian interaction KW - road crossing KW - external human machine interface Y1 - 2021 UR - https://doi.org/10.1080/01441647.2021.1914771 SN - 1464-5327 VL - 41 IS - 6 SP - 788 EP - 813 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Wintersberger, Philipp A1 - Janotta, Frederica A1 - Peintner, Jakob A1 - Löcken, Andreas A1 - Riener, Andreas T1 - Evaluating feedback requirements for trust calibration in automated vehicles JF - it – Information Technology UR - https://doi.org/10.1515/itit-2020-0024 KW - automated driving KW - trust in automation KW - user acceptance KW - user studies KW - mixed/augmented reality KW - adaptive UIs KW - personalized UIs Y1 - 2021 UR - https://doi.org/10.1515/itit-2020-0024 SN - 1611-2776 VL - 63 IS - 2 SP - 111 EP - 122 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Weigl, Klemens A1 - Schartmüller, Clemens A1 - Wintersberger, Philipp A1 - Steinhauser, Marco A1 - Riener, Andreas T1 - The influence of experienced severe road traffic accidents on take-over reactions and non-driving-related tasks in an automated driving simulator study JF - Accident Analysis & Prevention UR - https://doi.org/10.1016/j.aap.2021.106408 KW - Severe RTA experiences KW - Automated driving SAE Level 3 KW - TOR KW - Non-driving-related tasks KW - PTSD KW - Depression and psychological resilience Y1 - 2021 UR - https://doi.org/10.1016/j.aap.2021.106408 SN - 0001-4575 VL - 2021 IS - 162 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Kronester, Michael Julian A1 - Riener, Andreas A1 - Babic, Teo T1 - Potential of Wrist-worn Vibrotactile Feedback to Enhance the Perception of Virtual Objects during Mid-air Gestures T2 - CHI’21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3411763.3451655 KW - human-centered computing KW - human computer interaction (HCI) KW - interaction devices KW - haptic devices Y1 - 2021 UR - https://doi.org/10.1145/3411763.3451655 SN - 978-1-4503-8095-9 PB - ACM CY - New York ER - TY - CHAP A1 - Savino, Gian-Luca A1 - von Sawitzky, Tamara A1 - Matviienko, Andrii A1 - Sturdee, Miriam A1 - Wozniak, Pawel A1 - Löchtefeld, Markus A1 - Kun, Andrew A1 - Riener, Andreas A1 - Häkkilä, Jonna T1 - Cycling@CHI: Towards a Research Agenda for HCI in the Bike Lane T2 - CHI’21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems UR - https://doi.org/10.1145/3411763.3441316 KW - cycling KW - mobile user-interface KW - mobility Y1 - 2021 UR - https://doi.org/10.1145/3411763.3441316 SN - 978-1-4503-8095-9 PB - ACM CY - New York ER - TY - JOUR A1 - Weigl, Klemens A1 - Forstner, Thomas T1 - Design of paper-based visual analogue scale items JF - Educational and Psychological Measurement UR - https://doi.org/10.1177%2F0013164420952118 KW - visual analogue scale items KW - VAS KW - paper-based KW - item design KW - gender Y1 - 2020 UR - https://doi.org/10.1177%2F0013164420952118 SN - 1552-3888 SN - 0013-1644 VL - 81 IS - 3 SP - 595 EP - 611 PB - Sage CY - London ER - TY - JOUR A1 - Flores Fernández, Alberto A1 - Wurst, Jonas A1 - Sánchez Morales, Eduardo A1 - Botsch, Michael A1 - Facchi, Christian A1 - García Higuera, Andrés T1 - Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction JF - Sensors N2 - 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. UR - https://doi.org/10.3390/s22124498 KW - PROMOTING KW - automated driving systems KW - autonomous vehicles KW - multi-modal KW - motion prediction KW - route prediction KW - machine learning KW - real traffic data Y1 - 2022 UR - https://doi.org/10.3390/s22124498 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-24341 SN - 1424-8220 VL - 22 IS - 12 PB - MDPI CY - Basel ER -