| Autonomous driving: investigating the feasibility of car-driver handover assistance M Walch, K Lange, M Baumann, M Weber Proceedings of the 7th international conference on automotive user …, 2015 | 269 | 2015 |
| The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency J Kraus, D Scholz, D Stiegemeier, M Baumann Human factors 62 (5), 718-736, 2020 | 242 | 2020 |
| External HMI for self-driving vehicles: Which information shall be displayed? SM Faas, LA Mathis, M Baumann Transportation research part F: traffic psychology and behaviour 68, 171-186, 2020 | 199 | 2020 |
| Vulnerable road users and the coming wave of automated vehicles: Expert perspectives W Tabone, J De Winter, C Ackermann, J Bärgman, M Baumann, S Deb, ... Transportation research interdisciplinary perspectives 9, 100293, 2021 | 186 | 2021 |
| From car-driver-handovers to cooperative interfaces: Visions for driver–vehicle interaction in automated driving M Walch, K Mühl, J Kraus, T Stoll, M Baumann, M Weber Automotive user interfaces: Creating interactive experiences in the car, 273-294, 2017 | 152 | 2017 |
| UDRIVE: the European naturalistic driving study R Eenink, Y Barnard, M Baumann, X Augros, F Utesch Proceedings of Transport Research Arena, 2014 | 118 | 2014 |
| Towards cooperative driving: Involving the driver in an autonomous vehicle's decision making M Walch, T Sieber, P Hock, M Baumann, M Weber Proceedings of the 8th international conference on automotive user …, 2016 | 115 | 2016 |
| A Neural Network Model for Driver’s Lane‐Changing Trajectory Prediction in Urban Traffic Flow C Ding, W Wang, X Wang, M Baumann Mathematical Problems in Engineering 2013 (1), 967358, 2013 | 106 | 2013 |
| Situation awareness and driving: A cognitive model M Baumann, JF Krems Modelling driver behaviour in automotive environments: Critical issues in …, 2007 | 103 | 2007 |
| Evaluation of in-vehicle HMI using occlusion techniques: experimental results and practical implications M Baumann, A Keinath, JF Krems, K Bengler Applied ergonomics 35 (3), 197-205, 2004 | 99 | 2004 |
| Small talk with a robot? The impact of dialog content, talk initiative, and gaze behavior of a social robot on trust, acceptance, and proximity F Babel, J Kraus, L Miller, M Kraus, N Wagner, W Minker, M Baumann International Journal of Social Robotics 13 (6), 1485-1498, 2021 | 95 | 2021 |
| The study design of UDRIVE: the naturalistic driving study across Europe for cars, trucks and scooters Y Barnard, F Utesch, N van Nes, R Eenink, M Baumann European Transport Research Review 8, 1-10, 2016 | 94 | 2016 |
| A longitudinal video study on communicating status and intent for self-driving vehicle–pedestrian interaction SM Faas, AC Kao, M Baumann Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020 | 87 | 2020 |
| Carrot and Stick: A Game-theoretic Approach to Motivate Cooperative Driving through Social Interaction M Zimmermann, D Schopf, N Lütteken, Z Liu, K Storost, M Baumann, ... Transportation Research Part C: Emerging Technologies 88 (January), 159-175, 2018 | 84 | 2018 |
| What’s driving me? Exploration and validation of a hierarchical personality model for trust in automated driving J Kraus, D Scholz, M Baumann Human factors 63 (6), 1076-1105, 2021 | 81 | 2021 |
| Elaborating feedback strategies for maintaining automation in highly automated driving P Hock, J Kraus, M Walch, N Lang, M Baumann Proceedings of the 8th International Conference on Automotive User …, 2016 | 80 | 2016 |
| Calibrating pedestrians' trust in automated vehicles: does an intent display in an external HMI support trust calibration and safe crossing behavior? S M. Faas, J Kraus, A Schoenhals, M Baumann Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021 | 78 | 2021 |
| A comparison of selected simple supervised learning algorithms to predict driver intent based on gaze data F Lethaus, MRK Baumann, F Köster, K Lemmer Neurocomputing 121, 108-130, 2013 | 77 | 2013 |
| Light-based external human machine interface: Color evaluation for self-driving vehicle and pedestrian interaction SM Faas, M Baumann Proceedings of the human factors and ergonomics society annual meeting 63 (1 …, 2019 | 75 | 2019 |
| How to design valid simulator studies for investigating user experience in automated driving: review and hands-on considerations P Hock, J Kraus, F Babel, M Walch, E Rukzio, M Baumann Proceedings of the 10th International Conference on Automotive User …, 2018 | 73 | 2018 |
Josef KremsProfessor of Psychology, Chemnitz University of TechnologyEmail verificata su psychologie.tu-chemnitz.de