2021

Babel, F., Kraus, J. M., Miller, L., Kraus, M., Wagner, N., Minker, W., et al. (2021). Small talk with a robot? The impact of dialog content, talk initiative, and gaze behavior of a social robot on trust, acceptance, and proximity. International Journal of Social Robotics. https://doi.org/10.1007/s12369-020-00730-0

Babel, F., Kraus, J. M., & Baumann, M. (2021). Development and Testing of Psychological Conflict Resolution Strategies for Assertive Robots to Resolve Human-Robot Goal-Conflict. Frontiers in Robotics and AI 7, 591448. https://doi.org/10.3389/frobt.2020.591448

Babel, F., Kraus, J. M. , Hock, P., Asenbauer, H.,& Baumann, M. (2021). Investigating the Validity of Online Robot Evaluations: Comparison of Findings from an One-Sample Online and Laboratory Study. In Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’21 Companion), March 8–11, 2021, Boulder, CO, USA. ACM, New York, NY, USA, 5 pages, doi: 10.1145/3434074.3447141

Stoll, T., Mühl, K., & Baumann, M. (2021). Do drivers accept cooperative behavior of their automated vehicle on highways? Transportation research part F: Traffic psychology and behaviour,77, 236-245

2020

Baumann, M., Chuang, L., Pannasch, S., Sauer, J., Vogt, J., & Attig, C. (2020). Aktuelle Entwicklungen der deutschsprachigen Ingenieurpsychologie. Psychologie des Alltagshandelns / Psychology of Everyday Activity, 13(1), 6–11.

Colley, M., Bräuner, C., Lanzer, M., Walch, M., Baumann, M., & Rukzio, E. (2020). Effect of visualization of pedestrian intention recognition on trust and cognitive load. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 181-191). Association for Computing Machinery. https://doi.org/10.1145/3409120.3410648

Faas, S. M., Mathis, L. A., & Baumann, M. (2020). External HMI for self-driving vehicles: Which information shall be displayed?. Transportation Research Part F: Traffic Psychology and Behaviour, 68, 171-186

Kraus, J., Scholz, D., Messner, E. M., Messner, M., & Baumann, M. (2020). Scared to Trust?–Predicting Trust in Highly Automated Driving by Depressiveness, Negative Self-Evaluations and State Anxiety. Frontiers in Psychology, 10, 2917.

Lanzer, M., Babel, F., Yan, F., Zhang, B., You, F., Wang, J., & Baumann, M. (2020, September). Designing Communication Strategies of Autonomous Vehicles with Pedestrians: An Intercultural Study. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 122-131). https://doi.org/10.1145/3409120.3410653

Lanzer, M., & Baumann, M. (2020). Does crossing the road in a group influence pedestrians’ gaze behavior? Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1938–1942. https://doi.org/10.1177/1071181320641467

Mühl, K., Stoll, T., & Baumann, M. (2020). Look Ahead: Understanding Cognitive Anticipatory Processes Based on Situational Characteristics in Dynamic Traffic Situations. IET Intelligent Transport Systems, 14(4), 233–240. https://doi.org/10.1049/iet-its.2018.5557

Mühl, K., Vogt, A., & Baumann, M. (2020). Reducing Uncertainty by Anticipation in Traffic – the Effect of Situational Characteristics and Criticality on Behavioral, Subjective, and Psychophysiological Parameters. Transportation Research Part F: Traffic Psychology and Behaviour, 75, 173–186. https://doi.org/10.1016/j.trf.2020.10.004

Stoll, T., Lanzer, M., & Baumann, M. (2020). Situational influencing factors on understanding cooperative actions in automated driving. Transportation research part F: Traffic psychology and behaviour, 70, 223-234.

2019

Baumann, M., Weissinger, C., & Herzog, H. G. (2019). Model-Based Analysis of Transient Processes in Highly Available Automotive Energy Systems. Elektrik/Elektronik in Hybrid-und Elektrofahrzeugen und elektrisches Energiemanagement IX, 148, 284.

Baumann, M., Weissinger, C., & Herzog, H. G. (2019, August). Reducing Transient Disturbances within Automotive Power Systems Through Adapting of Input Circuits. In 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE) (pp. 214-218). IEEE.

Faas, S. M., & Baumann, M. (2019, September). Yielding light signal evaluation for self-driving vehicle and pedestrian interaction. In International Conference on Human Systems Engineering and Design: Future Trends and Applications (pp. 189-194). Springer, Cham.

Faas, S. M., & Baumann, M. (2019, November). Light-Based External Human Machine Interface: Color Evaluation for Self-Driving Vehicle and Pedestrian Interaction. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63, No. 1, pp. 1232-1236). Sage CA: Los Angeles, CA: SAGE Publications.

Gelau, C., Baumann, M., & Pauzié, A. (2019). HUMANIST Contributions for the Development of Guidelines and Standards on HMI. Safety of Innovative Transport Technologies: Design, Evaluation, and Social perspectives, 65-80.

Hock, P., Rukzio, E., & Baumann, M. (2019, September). The effect of incentives in driving simulator studies. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 249-253).

Hock, P., Babel, F., Muehl, K., Rukzio, E., & Baumann, M. (2019, September). Online experiments as a supplement of automated driving simulator studies: a methodological insight. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 282-286).

Hock, P., Babel, F., Kraus, J., Rukzio, E., & Baumann, M. (2019, September). Towards Opt-Out Permission Policies to Maximize the Use of Automated Driving. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 101-112).

Kraft, A. K., Maag, C., & Baumann, M. (2019). How to support cooperative driving by HMI design?. Transportation Research Interdisciplinary Perspectives, 3, 100064.

Kraus, J., Scholz, D., Stiegemeier, D., & Baumann, M. (2019). The more you know: trust dynamics and calibration in highly automated driving and the effects of take-overs, system malfunction, and system transparency. Human factors, 0018720819853686.

Kraus, J. M., Forster, Y., Hergeth, S., & Baumann, M. (2019). Two Routes to Trust Calibration: Effects of Reliability and Brand Information on Trust in Automation. International Journal of Mobile Human Computer Interaction (IJMHCI), 11(3), 1-17.

Löcken, A., Yan, F., Heuten, W., & Boll, S. (2019). Investigating driver gaze behavior during lane changes using two visual cues: ambient light and focal icons. Journal on Multimodal User Interfaces, 13(2), 119-136.

Mühl, K., Koob, V., Stoll, T., & Baumann, M. (2019). Driving with foresight-evaluating the effect of cognitive distraction and experience on anticipating events in traffic. In Proceedings of the... international driving symposium on human factors in driver assessment, training and vehicle design (Vol. 2019, pp. 321-327). University of Iowa Public Policy Center.

Mühl, K., Strauch, C., Grabmaier, C., Reithinger, S., Huckauf, A., & Baumann, M. (2019). Get Ready for Being Chauffeured: Passenger’s Preferences and Trust While Being Driven by Human and Automation. Human factors, 0018720819872893.

Mühl, K., & Baumann, M. Vor (her) sehen im Straßenverkehr-Untersuchung antizipatorischer Prozesse in dynamischen Verkehrssituationen. Tagungsband.

Pärsch, N., Harnischmacher, C., Baumann, M., Engeln, A., & Krauß, L. (2019, July). Designing Augmented Reality Navigation Visualizations for the Vehicle: A Question of Real World Object Coverage?. In International Conference on Human-Computer Interaction (pp. 161-175). Springer, Cham.

Pichen, J., Baumann, M., & Stoll, T. (2019, September). Stuck behind a truck: a cooperative interaction design approach to efficiently cope with the limitations of automated systems. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 199-204).

Scatturin, L., Erbach, R., & Baumann, M. (2019, September). Cognitive psychological approach for unraveling the take-over process during automated driving. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 215-220).

Stefanie, M., & Baumann, M. (2019, August). Yielding Light Signal Evaluation for Self-driving Vehicle and Pedestrian Interaction. In Human Systems Engineering and Design II: Proceedings of the 2nd International Conference on Human Systems Engineering and Design (IHSED2019): Future Trends and Applications, September 16-18, 2019, Universität der Bundeswehr München, Munich, Germany (Vol. 1026, p. 189). Springer.

Stoll, T., Müller, F., & Baumann, M. (2019). When cooperation is needed: the effect of spatial and time distance and criticality on willingness to cooperate. Cognition, Technology & Work, 21(1), 21-31.

Stoll, T., Imbsweiler, J., Deml, B., & Baumann, M. (2019). Three Years CoInCar: What Cooperatively Interacting Cars Might Learn from Human Drivers. IFAC-PapersOnLine, 52(8), 105-110.

Stoll, T., Lanzer, M., & Baumann, M. (2019). German validation of the Prosocial and Aggressive Driving Inventory (PADI). In Proceedings of the... international driving symposium on human factors in driver assessment, training and vehicle design (Vol. 2019, pp. 210-216). University of Iowa Public Policy Center.

Strauch, C., Mühl, K., Patro, K., Grabmaier, C., Reithinger, S., Baumann, M., & Huckauf, A. (2019). Real autonomous driving from a passenger’s perspective: Two experimental investigations using gaze behaviour and trust ratings in field and simulator. Transportation research part F: traffic psychology and behaviour, 66, 15-28.

Walch, Marcel & Woide, Marcel & Muehl, Kristin & Baumann, Martin & Weber, Michael. (2019). Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help. 144-155. 10.1145/3342197.3344531.

Walch, M., Woide, M., Mühl, K., Baumann, M., & Weber, M. (2019, September). Cooperative Overtaking: Overcoming Automated Vehicles' Obstructed Sensor Range via Driver Help. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 144-155).

Woide, Marcel & Stiegemeier, Dina & Baumann, Martin. (2019). A METHODICAL APPROACH TO EXAMINE CONFLICTS IN CONTEXT OF DRIVER - AUTONOMOUS VEHICLE -INTERACTION.

Woide, M., Stiegemeier, D., & Baumann, M. (2019). A methodical approach to examine conflicts in context of driver-autonomous vehicle-interaction. In Proceedings of the... international driving symposium on human factors in driver assessment, training and vehicle design (Vol. 2019, pp. 314-320). University of Iowa Public Policy Center.

Yan, F., Eilers, M., Weber, L., & Baumann, M. (2019, October). Investigating Initial Driver Intention on Overtaking on Rural Roads. In 2019 IEEE Intelligent Transportation Systems Conference (ITSC) (pp. 4354-4359). IEEE.

Yan, F., Karaosmanoglu, S., Demir, A., & Baumann, M. (2019, September). Spatial visualization of sensor information for automated vehicles. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (pp. 265-270).

2017

Schmalfuß, F., Mühl, K., & Krems, J. F. (2017). Direct experience with battery electric vehicles (BEVs) matters when evaluating vehicle attributes, attitude and purchase intention. Transportation Research Part F: Traffic Psychology and Behaviour, 46, 47–69. doi.org/10.1016/j.trf.2017.01.004

Walch, M., Mühl, K., Kraus, J., Stoll, T., Baumann, M., & Weber, M. (2017). From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver–Vehicle Interaction in Automated Driving. In G. Meixner & C. Müller (Eds.), Automotive User Interfaces: Creating Interactive Experiences in the Car (pp. 273–294). Cham: Springer International Publishing. doi.org/10.1007/978-3-319-49448-7_10

Walch, M., Mühl, K., Baumann, M., & Weber, M. (2017). Autonomous Driving: Investigating the Feasibility of Bimodal Take-Over Requests. International Journal of Mobile Human Computer Interaction, 9(2), 58–74. doi.org/10.4018/IJMHCI.2017040104

2016 und älter

Barnard, Y., Utesch, F., van Nes, N., Eenink, R., & Baumann, M. (2016). The study design of UDRIVE: the naturalistic driving study across Europe for cars, trucks and scooters. European Transport Research Review, 8(2), 1–10. doi:10.1007/s12544-016-0202-z

Walch, M., Lange, K., Baumann, M., & Weber, M. (2015). Autonomous Driving: Investigating the Feasibility of Car-driver Handover Assistance. In Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 11–18). New York, NY, USA: ACM. doi:10.1145/2799250.2799268

Fricke, N., Griesche, S., Schieben, A., Hesse, T. & Baumann, M. (2015). Driver behavior following an automatic steering intervention. Accident Analysis and Prevention, 83, 190-196.. DOI: 10.1016/j.aap.2015.07.018.

Schieben, A.,  Griesche, S., Hesse, T., Fricke, N., & Baumann, M. (2014). Evaluation of three different interaction designs for an automatic steering intervention. Transportation Research Part F, 27, Part B, 238–251. doi:10.1016/j.trf.2014.06.002.

Staubach, M., Schebitz, N., Fricke, N.; Schiessl, C., Brockmann, M. & Kuck, D. (2014). Information modalities and timing of ecological driving support advices. IET Intelligent Transport Systems, 8 (6), 534-542.

Ding, C., Wang, W., Wang, X., & Baumann, M. (2013). A neural network model for driver’s lane changing trajectory prediction in urban traffic flow. Mathematical Problems in Engineering, 2013. doi: 10.1155/2013/967358

Lethaus, F., Baumann, M., Köster, F., & Lemmer, K. (2013). A comparison of selected simple supervised learning algorithms to predict driver intentbased on gaze data. Neurocomputing, 121(9), 108–130.

Löffler, D., Hess, A., Hurtienne, J., Lange, K., Maier, A., & Schmitt, H. (2013). Gestaltung intuitiv benutzbarer Softwareanwendungen mit der IBIS Methode. I-COM, 12(2), 48–54.

Schießl, C., Fricke, N., & Staubach, M. (2013). Identification and analysis of motivators for eco-friendly driving within the ecomove project. IET Intelligent Transport Systems, 7(1), 46-54. doi:10.1049/iet-its.2011.0145

Baumann, M., Steenken, R., Kassner, A., Weber, L., & Luedtke, A. (2011). Effects of situational characteristics on drivers' merging into freeway traffic. In C. P. Cacciabue (Ed.), Human Modelling in Assisted Transportation (pp. 343 - 351). Italia: Springer-Verlag.

Gelau, C., Baumann, M., & Pauzie, A. (2011). HUMANIST Contributions for the Development of Guidelines and Standards on HMI. In Y. Barnard, R. Risser, & J. F. Krems (Eds.), Safety of Innovative Transport Technologies: Design, Evaluation, and Social perspectives (pp. 65 - 80). Brookfield, VT: Ashgate.

Kaul, R., Baumann, M., & Wortelen, B. (2011). The influence of predictability and frequency of events on the gaze behaviour while driving. In C. P. Cacciabue (Ed.), Human Modelling in Assisted Transportation (pp. 283 - 290). Italia: Springer-Verlag.

Kassner, A., Baumann, M., & Weber, L. (2011). A Hierarchical Task Analysis of merging onto a freeway – comparison of driver’s and driver model’s task representation. In C. P. Cacciabue (Ed.), Human Modelling in Assisted Transportation (pp. 291 - 298). Italia: Springer-Verlag.

Müller, K., Straatmann, T., Kötter, U. A., & Kraus, J. (2011). Transformative Konsumentenforschung: Untersuchung eines Modells psychologischer Faktoren der Jugendüberschuldung. Wirtschaftspsychologie, 4, 56-72.

Lethaus, F., Baumann, M., Köster, F., & Lemmer, K. (2011). Predicting driver intent by means of pattern recognition based on gaze behaviour. In D. de Waard, N. Gerard, L. Onnasch, R. Wiczorek, & D. Manzey (Eds.), Human Centred Automation (pp 35 - 47). Maastricht, Netherlands: Shaker Publishing.

Wortelen, B., Zilinski, M., Baumann, M., Muhrer, E., Vollrath, M., Eilers, M., Luedtke, A., & Möbus, C. (2011). Modelling aspects of longitudinal control in an integrated driver model: Detection and prediction of forced decisions and visual attention allocation at varying event frequencies. In C. P. Cacciabue, Hjälmdahl, M., Luedtke, A., Riccioli, C. (Eds.), Human Modelling in Assisted Transportation (pp. 181 - 189). Mailand: Springer-Verlag.

Baumann, M., Krems, J. F., & Ritter, F.E. (2010). Learning from examples does not prevent order effects in belief revision. Thinking & Reasoning, 16(2), 98 - 130.

Lees, M. N., Cosman, J. D., Lee, J. D., Fricke, N., & Rizzo, M. (2010). Translating cognitive neuroscience to the driver's operational environment: A neuroergonomic approach. American Journal of Psychology, 123(4), 391-412.

Fricke, N. (2009). Warn- und Alarmsounds im Automobil. In H. Schulze (Hrsg.), Funktionale Klänge: Hörbare Daten, klingende Geräte und gestaltete Hörerfahrungen (S. 47-64). Bielefeld: transcript.

Fricke, N. (2009). Zeit- und sicherheitskritische Warnungen im Fahrzeug. Angemessene Gestaltung und Evaluation. Saarbrücken: VDM.

Fricke, N., & Thüring, M. (2009). Verbesserung des Situationsbewusstseins in zeit- und sicherheitskritischen Verkehrssituationen durch semantische Anreicherung von Warnsignalen. Zeitschrift für Arbeitswissenschaft, 63(1), 55-65.

Baumann, M., Rösler, D., & Krems, J. F. (2009). A procedure to estimate the effect of cognitive and visual distraction of in-car tasks on situation awareness while driving. Zeitschrift für Arbeitswissenschaft, 63(1), 33 - 43.

Knake-Langhorst, S., Schießl, C., & Baumann, M. (2009). Der lokale Verkehrszustand als Einflussgröße auf das Fahrerverhalten. In Der Fahrer im 21. Jahrhundert. Fahrer, Fahrerunterstützung, Bedienbarkeit (pp. 53 - 64). Düsseldorf: VDI Verlag.

 Baumann, M., Colonius, H., Hungar, H., Köster, F., Langner, M., Lüdtke, A., Möbus, C., Peinke, J., Puch, S., Schiessl, C., Steenken, R., Weber, L. (2008). Integrated Modeling for Safe Transportation - Driver modeling and driver experiments. In T. Jürgensohn, H. Kolrep (Eds.), Fahrermodellierung in Wissenschaft und Wirtschaft, 2. Berliner Fachtagung für Fahrermodellierung (pp. 84 – 99). Düsseldorf: VDI Verlag.

Baumann, M., Franke, T., & Krems, J.F. (2008). The effect of experience, relevance, and interruption duration on drivers’ mental representation of a traffic situation. In D. de Waard, F. Flemisch, B. Lorenz, H. Oberheid, & K. Brookuis (Eds.), Human Factors for assistance and automation (pp. 141 – 152). Maastricht, Netherlands: Shaker Publishing.

Baumann, M., Petzoldt, T., Groenewoud, C., Hogema, J. & Krems, J.F. (2008). The effect of cognitive tasks on predicting events in traffic. In C. Brusque (Ed.), Proceedings of the European Conference on Human Interface Design for Intelligent Transport Systems (pp. 3 – 11). Lyon: Humanist Publications.

Rösler, D., Baumann, M., & Krems, J.F. (2008). Visuelle Wahrnehmung und Arbeitsgedächtnis als Grundlage von Situation Awareness beim Autofahren. In J. Schade & A. Engeln (Eds.), Fortschritte der Verkehrspsychologie (pp. 183 - 195). Wiesbaden: VS Verlag.

Mehlhorn, K., Baumann, M., & Bocklisch, F. (2008). Activation or Inhibition? Why Reasoners are Not Blind for Alternative Explanations. In B. C .Love, K. McRae, & V. M. Sloutsky (Eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society (pp. 2083 - 2088). Austin, TX: Cognitive Science Society.

Baumann, M., Bocklisch, F., Mehlhorn, K., & Krems, J.F. (2007) Changing explanations in the face of anomalous data in abductive reasoning. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the 29th Annual Cognitive Science Society (pp. 797 - 802). Austin, TX: Cognitive Science Society.

Baumann, M. & Krems, J.F. (2007). Situation Awareness and Driving: A Cognitive Model. In P.C. Cacciabue (Ed.), Modelling Driver Behaviour in Automotive Environments. Critical Issues in Driver Interactions with Intelligent Transport Systems (pp. 253 - 265). London: Springer.

Baumann, M., Mehlhorn, K., & Bocklisch, F. (2007). The activation of hypotheses during abductive reasoning. In D. S. McNamara & J. G. Trafton (Eds.), Proceedings of the 29th Annual Cognitive Science Society (pp. 803 - 808). Austin, TX: Cognitive Science Society.

Baumann, M., Rösler, D., & Krems, J.F. (2007). Situation awareness and secondary task performance while driving. In D. Harris (Ed.), Engineering psychology and cognitive ergonomics (pp.256 - 263). Berlin: Springer.

Baumann, M., Petzoldt, T. & Krems, J.F. (2006). Situation Awareness beim Autofahren als Verstehensprozess. MMI-Interaktiv, 11, 43 - 57.

Baumannn, M. & Krems, J. (2005). Situation awareness and driving. A cognitive model of memory update processes. In L. Macchi, C. Re and P.C. Cacciabue (Eds.), Proceedings of the International Workshop on Modelling Driver Behaviour in Automotive Environments (pp. 157 – 164). Luxembourg: Office for Official Publication of the European Communities.

Baumann, M., Rösler, D., Krems, J. & Keinath, A. (2005). Eine Methode zur gleichzeitigen Erfassung visueller und kognitiver Anforderungen bei Aufgaben im Fahrkontext. In L. Urbas & C. Steffens (Eds.), Zustandserkennung und Systemgestaltung. 6. Berliner Werkstatt Mensch-Maschine-Systeme (pp. 47 - 52). Düsseldorf: VDI-Verlag.

Krems, J. & Baumann, M. (2005). Verkehrspsychologie. In A. Schütz, H. Selg & S. Lautenbacher (Eds.), Psychologie. Eine Einführung in ihre Grundlagen und Anwendungsfelder (pp. 491 – 508). Stuttgart: Kohlhammer.

Krems, J., Jahn, G., Baumann, M., Rösler, D. & Mogilka, A. (2005). Fahren oder gefahren werden? Möglichkeiten und Grenzen von Telematiksystemen. In  K. Karrer, B. Gauss & Chr. Steffens (Eds). Beiträge zur Mensch-Maschine-Systemtechnik aus Forschung und Praxis (pp. 79 - 91). Düsseldorf: Symposion.

Baumann, M., Keinath, A., Krems, J.F., & Bengler, K. (2004). Evaluation of In-vehicle HMI using occlusion techniques: Experimental results and practical implications. Applied Ergonomics, 35, 197 - 205.

Krems, J., Jahn, G. & Baumann, M. (2004). Wer fährt? Zu den Möglichkeiten und Grenzen fon Fahrerassistenz- und Fahrerinformationssystemen. In C. Zanger, S. Habscheid & H. Gaus (Eds.), Bleibt das Auto mobil? Mobilität und Automobil im interdisziplinären Diskurs. Frankfurt/Main: Peter Lang.

Krems, J.F., Keinath, A., Baumann, M. & Jahn, G. (2004). Die Okklusionsmethode: Ein einfaches und valides Verfahren zur Bewertung der visuellen Beanspruchung von Zweitaufgaben? In B. Schlag (Ed.), Verkehrspsychologie. Mobilität - Sicherheit – Fahrerassistenz (pp. 335 – 339). Lengerich: Pabst Science Publishers.

Rösler, D., Oehme, A., Jahn, G., Baumann, M., & Krems, J.F. (2004). Empirische Methoden zur Erfassung der Fahrerbeanspruchung. In C. Steffens, M. Thüring, & L. Urbas (Eds.), Entwerfen und Gestalten. 5. Berliner Werkstatt Mensch-Maschine-Systeme (pp. 307 – 321). Düsseldorf: VDI-Verlag.

Baumann, M., Rösler, D., Jahn, G., & Krems, J.F. (2003). Assessing driver distraction using Occlusion Method and Peripheral Detection Task. In H. Strasser, K. Kluth, H. Rausch, & H. Bubb, (Eds.). Quality of work and products in enterprises of the future (pp. 53 - 56). Stuttgart: Ergonomia Verlag.

Baumann, M. & Krems, J.F. (2002). Frequency learning and order effects in belief updating. In P. Sedlmeier & T. Betsch (Eds.), etc. Frequency processing and cognition (pp. 221 – 237). Oxford: Oxford University Press.

Keinath, A., Baumann, M., Gelau, C., Bengler, K. & Krems, J.F. (2001). Occlusion as a technique for evaluating in-car displays. In: D. Harris (Ed.), Engineering Psychology and Cognitive Ergonomics. Vol. 5 and 6 (pp. 391 – 397). Brookfield, VT: Ashgate.

Krems, J.F., Keinath, A., Baumann, M., Bengler, K. & Gelau, C. (2000). Die Bewertung von visuellen Displaydarstellungen in Kraftfahrzeugen: Vor- und Nachteile der Okklusionsmethode. In: Bundesanstalt für Straßenwesen (Ed.), Informations- und Assistenzsysteme im Auto benutzergerecht gestalten (S. 25 – 32). Bergisch Gladbach: Wirtschaftsverlag.

Krems, J.F., Keinath, A., Baumann, M., Gelau, C. & Bengler, K. (2000). Evaluating visual display designs in vehicles: Advantages and disadvantages of the occlusion technique. In: L.M. Camarinha-Matos, H. Afsarmanesh & H.-H. Erbe (Eds.), "Advances in Network Enterprises (pp. 361 - 368). Boston: Kluwer.

Gelau, C., Keinath, A., Baumann, M., Bengler, K. & Krems, J.F. (1999). Die Okklusionsmethode als Verfahren zur Bewertung von visuellen Displaydarstellungen in Kraftfahrzeugen. Zeitschrift für Arbeitswissenschaft, 53, 51 - 57.

Gelau, Ch., Keinath, A., Baumann, M., Bengler, K. & Krems, J.F. (1999). Die Bewertung von Informationsdarstellungen in Fahrzeugen mit der Okklusionsmethode. In: F. Meyer-Gramcko (Ed.), Verkehrspsychologie auf neuen Wegen: Herausforderungen von Strasse, Wasser, Luft und Schiene (S. 185 – 191). Bonn: Deutscher Psychologen Verlag.