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ORCIDMartin Baumann 0001
Martin R. K. Baumann
Person information
- affiliation: Ulm University, Germany
- affiliation (former): German Aerospace Center, Braunschweig, Germany
- affiliation (PhD 2001): Chemnitz University of Technology, Germany
Other persons with the same name
- Martin Baumann 0002 — University of Heidelberg, Interdisciplinary Center for Scientific Computing (IWR) (and 1 more)
- Martin Baumann 0003 — RWTH Aachen University, Germany
- Martin Baumann 0004 — Technical University of Munich, Germany
- Martin Baumann 0005 — University of Stuttgart, Institute for Visualisation and Interactive Systems (VIS), Germany
- Martin Baumann 0006 — BMW Group, Germany
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2020 – today
- 2024
[j32]Nikolai von Janczewski, Johannes Kraus, Arnd Engeln, Martin Baumann:
IVIPAT: an in-vehicle information processing analysis tool to optimize user interaction flows. Cogn. Technol. Work. 26(2): 247-265 (2024)- [j31]Thomas Brand, Martin Baumann, Marcus Schmitz:
Bridging system limits with human-machine-cooperation. Cogn. Technol. Work. 26(2): 341-360 (2024) - [j30]Nikol Figalová
, Hans-Joachim Bieg, Julian Elias Reiser, Yuan-Cheng Liu, Martin Baumann, Lewis L. Chuang, Olga Pollatos:
From Driver to Supervisor: Comparing Cognitive Load and EEG-Based Attentional Resource Allocation Across Automation Levels. Int. J. Hum. Comput. Stud. 182: 103169 (2024) - [j29]Christian P. Janssen, Martin Baumann, Antti Oulasvirta:
Computational models of cognition for human-automated vehicle interaction: State-of-the-art and future directions. Int. J. Hum. Comput. Stud. 185: 103230 (2024) - [j28]Johannes Kraus, Linda Miller, Marielène Klumpp, Franziska Babel, David Scholz, Julia Merger, Martin Baumann:
On the Role of Beliefs and Trust for the Intention to Use Service Robots: An Integrated Trustworthiness Beliefs Model for Robot Acceptance. Int. J. Soc. Robotics 16(6): 1223-1246 (2024) - [j27]Claudia Buchner, Johannes Kraus, Linda Miller, Martin Baumann:
What is good? Exploring the applicability of a one item measure as a proxy for measuring acceptance in driver-vehicle interaction studies. J. Multimodal User Interfaces 18(2): 195-208 (2024) - [j26]Sarang Jokhio, Pierluigi Olleja, Jonas Bärgman, Fei Yan, Martin Baumann:
Analysis of Time-to-Lane-Change-Initiation Using Realistic Driving Data. IEEE Trans. Intell. Transp. Syst. 25(5): 4620-4633 (2024) - [c71]Claudia Buchner, Chantal Himmels, Jan Schmitz, Tanja Stoll, Martin Baumann:
Exploring Urban Challenges: Understanding Advanced Driver Assistance Systems in Different Situational Contexts. AutomotiveUI 2024: 1-12 - [c70]Johannes Illgner, Natasa Milicic, Bianca Biebl, Martin Baumann:
Improving Driver Engagement with Level 2 Automated Systems: The Impact of Fully Shared Longitudinal Control. AutomotiveUI 2024: 43-52 - [c69]Luise Metzger, Linda Miller, Martin Baumann, Johannes Kraus:
Empowering Calibrated (Dis-)Trust in Conversational Agents: A User Study on the Persuasive Power of Limitation Disclaimers vs. Authoritative Style. CHI 2024: 481:1-481:19 - [i7]Nikol Figalová, Jürgen Pichen, Vanchha Chandrayan, Olga Pollatos, Lewis L. Chuang, Martin Baumann:
Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a. CoRR abs/2405.18099 (2024) - [i6]Nikol Figalová, Hans-Joachim Bieg, Michael Schulz, Jürgen Pichen, Martin Baumann, Lewis L. Chuang, Olga Pollatos:
Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track. CoRR abs/2405.18114 (2024) - [i5]Yuan-Cheng Liu, Nikol Figalová, Jürgen Pichen, Philipp Hock, Martin Baumann, Klaus Bengler:
Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures. CoRR abs/2406.09603 (2024) - [i4]Nikol Figalová, Jürgen Pichen, Lewis L. Chuang, Martin Baumann, Olga Pollatos:
System Immersion of a Driving Simulator Affects the Oscillatory Brain Activity. CoRR abs/2406.13570 (2024) - 2023
- [j25]Wiebke Frank, Kristin Mühl, Agnes Rosner, Martin Baumann:
Advancing Knowledge on Situation Comprehension in Dynamic Traffic Situations by Studying Eye Movements to Empty Spatial Locations. Hum. Factors 65(8): 1674-1688 (2023) - [j24]Dina Stiegemeier, Johannes Kraus, Sabrina Bringeland, Martin Baumann:
Motivated to Use: Beliefs and Motivation Influencing the Acceptance and Use of Assistance and Navigation Systems. Int. J. Hum. Comput. Interact. 39(14): 2926-2941 (2023) - [j23]Linda Miller, Johannes Kraus, Ina Koniakowsky, Jürgen Pichen, Martin Baumann:
Learning in Mixed Traffic: Drivers' Adaptation to Ambiguous Communication Depending on Their Expectations toward Automated and Manual Vehicles. Int. J. Hum. Comput. Interact. 39(16): 3268-3287 (2023) - [j22]Marcel Woide, Nicole Damm, Johannes Kraus, Stefan Pfattheicher, Martin Baumann:
Interdependence theory in humans' interaction with automated vehicles: The impact of perceived situational factors on trust and cooperation. Int. J. Hum. Comput. Stud. 179: 103102 (2023) - [c68]Marcel Woide, Linda Miller, Mark Colley, Nicole Damm, Martin Baumann:
I've Got the Power: Exploring the Impact of Cooperative Systems on Driver-Initiated Takeovers and Trust in Automated Vehicles. AutomotiveUI 2023: 123-135 - [c67]Liza Dixon, Norbert Schneider, Marcel Usai, Nicolas Daniel Herzberger, Frank Ole Flemisch, Martin Baumann:
Exploring Driver Responses to Authoritative Control Interventions in Highly Automated Driving. AutomotiveUI 2023: 145-155 - [c66]Nikol Figalová, Jürgen Pichen, Vanchha Chandrayan, Olga Pollatos, Lewis L. Chuang, Martin Baumann:
Manipulating Drivers' Mental Workload: Neuroergonomic Evaluation of the Speed Regulation N-Back Task Using NASA-TLX and Auditory P3a. AutomotiveUI (Adjunct Proceedings) 2023: 145-149 - [c65]Mirjam Lanzer, Ina Koniakowsky, Mark Colley, Martin Baumann:
Interaction Effects of Pedestrian Behavior, Smartphone Distraction and External Communication of Automated Vehicles on Crossing and Gaze Behavior. CHI 2023: 768:1-768:18 - [c64]Jürgen Pichen, Nikol Figalová, Martin Baumann:
Can't Take My Eyes off You: Increasing Task Involvement in Cooperative Driving With Natural Habituated Interfaces. ITSC 2023: 1765-1772 - [c63]Nikol Figalová, Hans-Joachim Bieg, Michael Schulz, Jürgen Pichen, Martin Baumann, Lewis L. Chuang, Olga Pollatos:
Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track. IUI Companion 2023: 64-67 - [c62]Yuan-Cheng Liu, Nikol Figalová, Martin Baumann, Klaus Bengler:
Human-Machine Interface Evaluation Using EEG in Driving Simulator. IV 2023: 1-6 - [c61]Jürgen Pichen, Nikol Figalová, Martin Baumann:
Safe Decision Or Collision? Using Natural Habituated Interfaces to Increase Traffic Safety. IV 2023: 1-8 - [i3]Nikol Figalová, Hans-Joachim Bieg, Julian Elias Reiser, Yuan-Cheng Liu, Martin Baumann, Lewis L. Chuang, Olga Pollatos:
From Driver to Supervisor: Comparing Cognitive Load and EEG-based Attention Allocation across Automation Levels. CoRR abs/2306.08477 (2023) - 2022
- [j21]Kassandra Bauerfeind, Julia Drüke, Lennart Bendewald, Martin Baumann:
How does navigating with Augmented Reality information affect drivers' glance behaviour in terms of attention allocation? Frontiers Virtual Real. 3 (2022) - [j20]Franziska Babel, Andrea Vogt, Philipp Hock, Johannes Kraus, Florian Angerer, Tina Seufert, Martin Baumann:
Step Aside! VR-Based Evaluation of Adaptive Robot Conflict Resolution Strategies for Domestic Service Robots. Int. J. Soc. Robotics 14(5): 1239-1260 (2022) - [j19]Franziska Babel, Johannes Kraus, Martin Baumann:
Findings From A Qualitative Field Study with An Autonomous Robot in Public: Exploration of User Reactions and Conflicts. Int. J. Soc. Robotics 14(7): 1625-1655 (2022) - [j18]Nikol Figalová, Lewis L. Chuang, Jürgen Pichen, Martin Baumann, Olga Pollatos:
Ambient Light Conveying Reliability Improves Drivers' Takeover Performance without Increasing Mental Workload. Multimodal Technol. Interact. 6(9): 73 (2022) - [c60]Marcel Woide, Mark Colley, Nicole Damm, Martin Baumann:
Effect of System Capability Verification on Conflict, Trust, and Behavior in Automated Vehicles. UI 2022: 119-130 - [c59]Linda Miller, Ina Koniakowsky, Johannes Kraus, Martin Baumann:
The Impact of Expectations about Automated and Manual Vehicles on Drivers' Behavior: Insights from a Mixed Traffic Driving Simulator Study. UI 2022: 150-161 - [c58]Manhua Wang, Se Hyeon Park, Seul Chan Lee, Philipp Hock, Martin Baumann:
Build Your Own Genie and Jarvis: 2nd Workshop on Characteristics and Design Considerations of In-Vehicle Intelligent Agents. AutomotiveUI (Adjunct Proceedings) 2022: 176-178 - [c57]Se Hyeon Park, Seul Chan Lee, Manhua Wang, Philipp Hock, Martin Baumann, Myounghoon Jeon:
What Do You Want for In-Vehicle Agents? One Fits All vs. Multiple Specialized Agents. AutomotiveUI (Adjunct Proceedings) 2022: 199-200 - [c56]Philipp Hock, Mark Colley, Ali Askari, Tobias Wagner, Martin Baumann, Enrico Rukzio:
Introducing VAMPIRE - Using Kinaesthetic Feedback in Virtual Reality for Automated Driving Experiments. UI 2022: 204-214 - [c55]Dina Stiegemeier, Sabrina Bringeland, Johannes Kraus, Martin Baumann:
User Experience of In-Vehicle Gesture Interaction: Exploring the Effect of Autonomy and Competence in a Mock-Up Experiment. UI 2022: 285-296 - [c54]Franziska Babel, Philipp Hock, Johannes Kraus, Martin Baumann:
It Will Not Take Long! Longitudinal Effects of Robot Conflict Resolution Strategies on Compliance, Acceptance and Trust. HRI 2022: 225-235 - [c53]Franziska Babel, Philipp Hock, Johannes Kraus, Martin Baumann:
Human-Robot Conflict Resolution at an Elevator - The Effect of Robot Type, Request Politeness and Modality. HRI 2022: 693-697 - [c52]Franziska Babel, Martin Baumann:
Designing Psychological Conflict Resolution Strategies for Autonomous Service Robots. HRI 2022: 1146-1148 - [c51]Linda Miller, Jasmin Leitner, Johannes Kraus, Jieun Lee, Tatsuru Daimon, Satoshi Kitazaki, Martin Baumann:
Time to Arrival as Predictor for Uncertainty and Cooperative Driving Decisions in Highly Automated Driving. IV 2022: 1048-1053 - [c50]Franziska Babel, Johannes Kraus, Philipp Hock, Martin Baumann:
Verbal and Non-Verbal Conflict Resolution Strategies for Service Robots. RO-MAN 2022: 1030-1037 - [i2]Christian P. Janssen, Martin Baumann, Antti Oulasvirta, Shamsi T. Iqbal, Luisa Heinrich:
Computational Models of Human-Automated Vehicle Interaction (Dagstuhl Seminar 22102). Dagstuhl Reports 12(3): 15-81 (2022) - 2021
- [j17]Andrea Vogt, Franziska Babel, Philipp Hock, Martin Baumann, Tina Seufert:
Immersive virtual reality or auditory text first? Effects of adequate sequencing and prompting on learning outcome. Br. J. Educ. Technol. 52(5): 2058-2076 (2021) - [j16]Andrea Vogt, Franziska Babel, Philipp Hock, Martin Baumann, Tina Seufert:
Prompting in-depth learning in immersive virtual reality: Impact of an elaboration prompt on developing a mental model. Comput. Educ. 171: 104235 (2021) - [j15]Johannes Kraus, David Scholz, Martin Baumann:
What's Driving Me? Exploration and Validation of a Hierarchical Personality Model for Trust in Automated Driving. Hum. Factors 63(6) (2021) - [j14]Stefanie M. Faas, Vanessa Stange, Martin Baumann:
Self-Driving Vehicles and Pedestrian Interaction: Does an External Human-Machine Interface Mitigate the Threat of a Tinted Windshield or a Distracted Driver? Int. J. Hum. Comput. Interact. 37(14): 1364-1374 (2021) - [j13]Franziska Babel, Johannes Kraus, Linda Miller, Matthias Kraus, Nicolas Wagner, Wolfgang Minker, Martin Baumann:
Small Talk with a Robot? The Impact of Dialog Content, Talk Initiative, and Gaze Behavior of a Social Robot on Trust, Acceptance, and Proximity. Int. J. Soc. Robotics 13(6): 1485-1498 (2021) - [j12]Lara Scatturin, Rainer Erbach, Martin Baumann:
When does the driver feel ready to drive again after automated driving? - A qualitative approach. it Inf. Technol. 63(2): 87-97 (2021) - [c49]Jürgen Pichen, Tanja Stoll, Martin Baumann:
From SAE-Levels to Cooperative Task Distribution: An Efficient and Usable Way to Deal with System Limitations? AutomotiveUI 2021: 109-115 - [c48]Manhua Wang, Philipp Hock, Seul Chan Lee, Martin Baumann, Myounghoon Jeon:
Genie vs. Jarvis: Characteristics and Design Considerations of In-Vehicle Intelligent Agents. AutomotiveUI (adjunct) 2021: 197-199 - [c47]Chao Wang, Marcel Usai, Jingyi Li, Martin Baumann, Frank Flemisch:
Workshop on Human-Vehicle-Environment Cooperation in Automated driving: The Next Stage of a Classic Topic. AutomotiveUI (adjunct) 2021: 200-203 - [c46]Seul Chan Lee, Seona Jeong, Manhua Wang, Philipp Hock, Martin Baumann, Myounghoon Jeon:
"To Go or Not To Go? That is the Question": When In-Vehicle Agents Argue with Each Other. AutomotiveUI (adjunct) 2021: 223-224 - [c45]Stefanie M. Faas, Johannes Kraus, Alexander Schoenhals, Martin Baumann:
Calibrating Pedestrians' Trust in Automated Vehicles: Does an Intent Display in an External HMI Support Trust Calibration and Safe Crossing Behavior? CHI 2021: 157:1-157:17 - [c44]Dina Stiegemeier, Sabrina Bringeland, Martin Baumann:
Qualitative Examination of Technology Acceptance in the Vehicle: Factors Hindering Usage of Assistance and Infotainment Systems. HCI (30) 2021: 457-466 - [c43]Franziska Babel, Johannes Kraus, Philipp Hock, Hannah Asenbauer, Martin Baumann:
Investigating the Validity of Online Robot Evaluations: Comparison of Findings from an One-Sample Online and Laboratory Study. HRI (Companion) 2021: 116-120 - [c42]Jürgen Pichen, Linda Miller, Martin Baumann:
Cooperative Speed Regulation in Automated Vehicles: A Comparison Between a Touch, Pedal, and Button Interface as the Input Modality. IV 2021: 245-250 - [i1]Nadine Bender, Samir El Faramawy, Johannes Maria Kraus, Martin Baumann:
The role of successful human-robot interaction on trust - Findings of an experiment with an autonomous cooperative robot. CoRR abs/2104.06863 (2021) - 2020
- [j11]Franziska Babel, Johannes Maria Kraus, Martin Baumann:
Development and Testing of Psychological Conflict Resolution Strategies for Assertive Robots to Resolve Human-Robot Goal Conflict. Frontiers Robotics AI 7: 591448 (2020) - [j10]Johannes Kraus, David Scholz, Dina Stiegemeier, Martin Baumann:
The More You Know: Trust Dynamics and Calibration in Highly Automated Driving and the Effects of Take-Overs, System Malfunction, and System Transparency. Hum. Factors 62(5) (2020) - [j9]Kristin Mühl, Christoph Strauch, Christoph Grabmaier, Susanne Reithinger, Anke Huckauf, Martin Baumann:
Get Ready for Being Chauffeured: Passenger's Preferences and Trust While Being Driven by Human and Automation. Hum. Factors 62(8) (2020) - [j8]Stefanie M. Faas, Stefan Mattes, Andrea C. Kao, Martin Baumann:
Efficient Paradigm to Measure Street-Crossing Onset Time of Pedestrians in Video-Based Interactions with Vehicles. Inf. 11(7): 360 (2020) - [c41]Mirjam Lanzer, Franziska Babel, Fei Yan, Bihan Zhang, Fang You, Jianmin Wang, Martin Baumann:
Designing Communication Strategies of Autonomous Vehicles with Pedestrians: An Intercultural Study. AutomotiveUI 2020: 122-131 - [c40]Mark Colley, Christian Bräuner, Mirjam Lanzer, Marcel Walch, Martin Baumann, Enrico Rukzio:
Effect of Visualization of Pedestrian Intention Recognition on Trust and Cognitive Load. AutomotiveUI 2020: 181-191 - [c39]Lara Scatturin, Rainer Erbach, Martin Baumann:
"Left!" - "Right!" - "Follow!": Verbalization of Action Decisions for Measuring the Cognitive Take-Over Process. AutomotiveUI 2020: 233-240 - [c38]Stefanie M. Faas, Andrea C. Kao, Martin Baumann:
A Longitudinal Video Study on Communicating Status and Intent for Self-Driving Vehicle - Pedestrian Interaction. CHI 2020: 1-14 - [c37]Jürgen Pichen, Fei Yan, Martin Baumann:
Towards a Cooperative Driver-Vehicle Interface: Enhancing Drivers' Perception of Cyclists through Augmented Reality. IV 2020: 1827-1832
2010 – 2019
- 2019
- [j7]Tanja Stoll, Fabian Müller, Martin Baumann:
When cooperation is needed: the effect of spatial and time distance and criticality on willingness to cooperate. Cogn. Technol. Work. 21(1): 21-31 (2019) - [j6]Johannes Maria Kraus, Yannick Forster, Sebastian Hergeth, Martin Baumann:
Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation. Int. J. Mob. Hum. Comput. Interact. 11(3): 1-17 (2019) - [c36]Philipp Hock, Franziska Babel, Johannes Kraus, Enrico Rukzio, Martin Baumann:
Towards Opt-Out Permission Policies to Maximize the Use of Automated Driving. AutomotiveUI 2019: 101-112 - [c35]Marcel Walch, Marcel Woide, Kristin Mühl, Martin Baumann, Michael Weber:
Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help. AutomotiveUI 2019: 144-155 - [c34]Jürgen Pichen, Martin Baumann, Tanja Stoll:
Stuck behind a truck: a cooperative interaction design approach to efficiently cope with the limitations of automated systems. AutomotiveUI (adjunct) 2019: 199-204 - [c33]Lara Scatturin, Rainer Erbach, Martin Baumann:
Cognitive psychological approach for unraveling the take-over process during automated driving. AutomotiveUI (adjunct) 2019: 215-220 - [c32]Philipp Hock, Enrico Rukzio, Martin Baumann:
The effect of incentives in driving simulator studies. AutomotiveUI (adjunct) 2019: 249-253 - [c31]Fei Yan, Shyukryan Karaosmanoglu, Aslihan Demir, Martin Baumann:
Spatial visualization of sensor information for automated vehicles. AutomotiveUI (adjunct) 2019: 265-270 - [c30]Philipp Hock, Franziska Babel, Kristin Mühl, Enrico Rukzio, Martin Baumann:
Online experiments as a supplement of automated driving simulator studies: a methodological insight. AutomotiveUI (adjunct) 2019: 282-286 - [c29]Nikolai Pärsch, Clemens Harnischmacher, Martin Baumann, Arnd Engeln, Lutz Krauß:
Designing Augmented Reality Navigation Visualizations for the Vehicle: A Question of Real World Object Coverage? HCI (31) 2019: 161-175 - [c28]Stefanie M. Faas, Martin Baumann:
Yielding Light Signal Evaluation for Self-driving Vehicle and Pedestrian Interaction. IHSED 2019: 189-194 - [c27]Fei Yan, Mark Eilers, Lars Weber, Martin Baumann:
Investigating Initial Driver Intention on Overtaking on Rural Roads. ITSC 2019: 4354-4359 - 2018
- [j5]Jonas Imbsweiler, Tanja Stoll, M. Ruesch, Martin Baumann, Barbara Deml:
Insight into cooperation processes for traffic scenarios: modelling with naturalistic decision making. Cogn. Technol. Work. 20(4): 621-635 (2018) - [c26]Philipp Hock, Johannes Kraus, Franziska Babel, Marcel Walch, Enrico Rukzio, Martin Baumann:
How to Design Valid Simulator Studies for Investigating User Experience in Automated Driving: Review and Hands-On Considerations. AutomotiveUI 2018: 105-117 - [c25]Yannick Forster, Johannes Kraus, Sophie Feinauer, Martin Baumann:
Calibration of Trust Expectancies in Conditionally Automated Driving by Brand, Reliability Information and Introductionary Videos: An Online Study. AutomotiveUI 2018: 118-128 - [c24]Sarah Faltaous, Martin Baumann, Stefan Schneegass, Lewis L. Chuang:
Design Guidelines for Reliability Communication in Autonomous Vehicles. AutomotiveUI 2018: 258-267 - [c23]Marcel Walch, Kristin Mühl, Martin Baumann, Michael Weber:
Click or Hold: Usability Evaluation of Maneuver Approval Techniques in Highly Automated Driving. CHI Extended Abstracts 2018 - [c22]Matthias Kraus, Johannes Kraus, Martin Baumann, Wolfgang Minker:
Effects of Gender Stereotypes on Trust and Likability in Spoken Human-Robot Interaction. LREC 2018 - 2017
- [j4]Marcel Walch, Kristin Mühl, Martin Baumann, Michael Weber:
Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests. Int. J. Mob. Hum. Comput. Interact. 9(2): 58-74 (2017) - [c21]Lewis L. Chuang, Dietrich Manstetten, Susanne Boll, Martin Baumann:
1st Workshop on Understanding Automation: Interfaces that Facilitate User Understanding of Vehicle Automation. AutomotiveUI (adjunct) 2017: 1-8 - [c20]Fabio Tango, Roberto Montanari, Andreas Lüdtke, Martin Baumann, J. P. Frederik Diederichs, Anna Anund, Andrea Castellano, Stefania Vacca:
Workshop on Human Machine Interaction in Autonomous Vehicles: the Perspective of the Two Current HORIZON 2020 Projects ADAS&ME and AUTOMATE. AutomotiveUI (adjunct) 2017: 33-38 - [c19]Sarah Faltaous, Tonja Machulla, Martin Baumann, Lewis L. Chuang:
Developing a Highly Automated Driving Scenario to Investigate User Intervention: When Things Go Wrong. AutomotiveUI (adjunct) 2017: 67-71 - [c18]Marcel Walch, Lorenz Jaksche, Philipp Hock, Martin Baumann, Michael Weber:
Touch Screen Maneuver Approval Mechanisms for Highly Automated Vehicles: A First Evaluation. AutomotiveUI (adjunct) 2017: 206-211 - [c17]Gregor Behnke, Benedikt Leichtmann, Pascal Bercher, Daniel Höller, Verena Nitsch, Martin Baumann, Susanne Biundo:
Help me make a dinner! Challenges when assisting humans in action planning. ICCT 2017 - [c16]Fei Yan, Mark Eilers, Andreas Lüdtke, Martin Baumann:
Building driver's trust in lane change assistance systems by adapting to driver's uncertainty states. Intelligent Vehicles Symposium 2017: 529-534 - [e1]Susanne Boll, Andreas Löcken, Ronald Schroeter, Martin Baumann, Ignacio J. Alvarez, Lewis L. Chuang, Sebastian Feuerstack, Myounghoon Jeon, Hanneke Hooft van Huysduynen, Nora Broy, Sebastian Osswald, Ioannis Politis, David R. Large:
Adjunct Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2017, Oldenburg, Germany, September 24-27, 2017. ACM 2017, ISBN 978-1-4503-5151-5 [contents] - 2016
- [c15]Fei Yan, Mark Eilers, Martin Baumann, Andreas Lüdtke:
Development of a Lane Change Assistance System Adapting to Driver's Uncertainty During Decision-Making. AutomotiveUI (adjunct) 2016: 93-98 - [c14]Philipp Hock, Johannes Kraus, Marcel Walch, Nina Lang, Martin Baumann:
Elaborating Feedback Strategies for Maintaining Automation in Highly Automated Driving. AutomotiveUI 2016: 105-112 - [c13]Johannes Maria Kraus, Florian Nothdurft, Philipp Hock, David Scholz, Wolfgang Minker, Martin Baumann:
Human After All: Effects of Mere Presence and Social Interaction of a Humanoid Robot as a Co-Driver in Automated Driving. AutomotiveUI (adjunct) 2016: 129-134 - [c12]Rod McCall, Martin Baumann, Ioannis Politis, Shadan Sadeghian Borojeni, Ignacio J. Alvarez, Alexander G. Mirnig, Alexander Meschtscherjakov, Manfred Tscheligi, Lewis L. Chuang, Jacques M. B. Terken:
1st Workshop on Situational Awareness in Semi-Automated Vehicles. AutomotiveUI (adjunct) 2016: 233-236 - [c11]Marcel Walch, Tobias Sieber, Philipp Hock, Martin Baumann, Michael Weber:
Towards Cooperative Driving: Involving the Driver in an Autonomous Vehicle's Decision Making. AutomotiveUI 2016: 261-268 - [c10]Fei Yan, Mark Eilers, Andreas Lüdtke, Martin Baumann:
Developing a model of driver's uncertainty in lane change situations for trustworthy lane change decision aid systems. Intelligent Vehicles Symposium 2016: 406-411 - 2015
- [c9]Johannes Maria Kraus, Jessica Sturn, Julian Elias Reiser, Martin Baumann:
Anthropomorphic agents, transparent automation and driver personality: towards an integrative multi-level model of determinants for effective driver-vehicle cooperation in highly automated vehicles. AutomotiveUI (adjunct) 2015: 8-13 - [c8]Marcel Walch, Kristin Lange, Martin Baumann, Michael Weber:
Autonomous driving: investigating the feasibility of car-driver handover assistance. AutomotiveUI 2015: 11-18 - 2013
- [j3]Firas Lethaus, Martin R. K. Baumann, Frank Köster, Karsten Lemmer:
A comparison of selected simple supervised learning algorithms to predict driver intent based on gaze data. Neurocomputing 121: 108-130 (2013) - [c7]Firas Lethaus, Rachel M. Harris, Martin R. K. Baumann, Frank Köster, Karsten Lemmer:
Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent? ICANNGA 2013: 446-455 - 2011
- [c6]Firas Lethaus, Martin R. K. Baumann, Frank Köster, Karsten Lemmer:
Using Pattern Recognition to Predict Driver Intent. ICANNGA (1) 2011: 140-149 - [c5]Tobias Lorenz, Martin R. K. Baumann, Klaus Jaschke, Frank Köster:
A Modular and Scalable Application Platform for Testing and Evaluating Its Components. WETICE 2011: 199-204
2000 – 2009
- 2009
- [c4]Martin R. K. Baumann, Josef F. Krems:
A Comprehension Based Cognitive Model of Situation Awareness. HCI (11) 2009: 192-201 - [c3]Josef F. Krems, Martin R. K. Baumann:
Driving and Situation Awareness: A Cognitive Model of Memory-Update Processes. HCI (10) 2009: 986-994 - 2007
- [c2]Martin R. K. Baumann, Diana Rösler, Josef F. Krems:
Situation Awareness and Secondary Task Performance While Driving. HCI (13) 2007: 256-263 - 2006
- [j2]Martin R. K. Baumann, Sandro Leuchter, Leon Urbas:
Editorial zur Ausgabe Aufmerksamkeit und Situation Awareness beim Autofahren. MMI Interakt. 11 (2006) - [j1]Martin R. K. Baumann, Tibor Petzoldt, Josef F. Krems:
Situation Awareness beim Autofahren als Verstehensprozess. MMI Interakt. 11 (2006) - 2000
- [c1]Josef F. Krems, Andreas Keinath, Martin R. K. Baumann, Christhard Gelau, Klaus Bengler:
Evaluating visual display designs in vehicles: Advantages and disadvantages of the occlusion technique. Advanced Network Enterprises 2000: 361-368
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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