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Applied Geropsychology and Cognition
Dr. Matthias Beggiato

Dr. Matthias Beggiato

Portrait: Dr. Matthias Beggiato
Dr. Matthias Beggiato

 

Research interests

  • Human-Machine Interaction
  • Assistance and automation
  • Communication between road user
  • Comfort in automated driving
  • Mental models
  • Big data analysis in behavioural and social sciences

Vita

Professional background

  • Since 2015: Group leader for Traffic Psychology at the Professorship for Cognitive and Engineering Psychology, Chemnitz University of Technology
  • Since 2010: Research associate at the at the Professorship for Cognitive and Engineering Psychology, Chemnitz University of Technology
  • Since 2007: Consultant on research methods for various institutions in South Tyrol
  • 2006 – 2009: Research associate and traffic psychologist at FACTUM OHG Vienna (mobility and social research)
  • 2006 – 2007: JOBFIT study on the professional career of young people with special needs
  • 2005 – 2006: Internships at „Fonds Soziales Wien“ (disabled people), „WUK Domino“ (vocational guidance) and „FACTUM / INFAR“ (traffic psychology)
  • 2003 – 2004: Research associate at the Institute of Psychology, University of Vienna (Prof. Dr. Christian Klicpera)
  • 1992 – 2003: Summer jobs in food service, as sales assistant, construction worker, forestry worker, postal clerk, computer programmer, market research interviewer, supervisor for teenager with difficult social background

Education

  • 2015: Doctorate (Dr. rer. nat.) in Psychology, Chemnitz University of Technology
  • 2006: ECDL-Advanced-Expert exam (expert knowledge in MS Office including programming)
  • 2005 – 2006: Postgraduate education as Clinical and Health Psychologist (Austria)
  • 2000 – 2005: Master’s degree with distinction (Mag. phil.) in Educational Science at the University of Vienna
  • 1998 – 2004: Master’s degree with distinction (Mag. rer. nat.) in Psychology at the University of Vienna
  • 1995 – 1996: EU vocational training course „Technician for System Integration“
  • 1995: Secondary education diploma in computer science at the „Gewerbeoberschule Max Valier“, Bozen, South Tyrol

Publications

Journals (peer-reviewed)

Beggiato, M., Hartwich, F., & Krems, J. (2019). Physiological correlates of discomfort in automated driving. Transportation Research Part F: Traffic Psychology and Behaviour, 66, 445-458. doi: 10.1016/j.trf.2019.09.018.

Hensch, AC., Neumann, I., Beggiato, M., Halama, J., & Krems J.F. (2019). Effects of a light-based communication approach as an external HMI for Automated Vehicles - a Wizard-of-Oz Study. Transactions on Transport Sciences, 10(2), 18-32. doi: 10.5507/tots.2019.012.

Forster, Y., Hergeth, S., Naujoks, F., Beggiato, M., Krems, J. F., & Keinath, A. (2019). Learning to use automation: Behavioral changes in interaction with automated driving systems. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 599–614. doi: 10.1016/j.trf.2019.02.013.

Ackermann, C., Beggiato, M., Löw, A., Bluhm, L.-F., & Krems, J. F. (2019). Deceleration Parameters and their Applicability as Informal Communication Signal between Pedestrians and Automated Vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 757–768. doi: 10.1016/j.trf.2019.03.006.

Ackermann, C., Beggiato, M., Schubert, S., & Krems, J. F. (2019). An experimental study to investigate design and assessment criteria: what is important for communication between pedestrians and automated vehicles? Applied Ergonomics, 75, 272-282. doi: 10.1016/j.apergo.2018.11.002.

Hartwich, F., Witzlack, C., Beggiato, M., & Krems, J. F. (2019). The first impression counts - A combined driving simulator and test track study on the development of trust and acceptance of highly automated driving. Transportation Research Part F: Traffic Psychology and Behaviour, 65, 522–535. doi: 10.1016/j.trf.2018.05.012.

Beggiato, M., Hartwich, F., & Krems, J. (2018). Using Smartbands, Pupillometry and Body Motion to Detect Discomfort in Automated Driving. Frontiers in Human Neuroscience, 12:338. doi: 10.3389/fnhum.2018.00338 (open access).

Hartwich, F., Beggiato, M., & Krems, J. F. (2018). Driving comfort, enjoyment, and acceptance of automated driving - Effects of drivers' age and driving style familiarity. Ergonomics. doi: 10.1080/00140139.2018.1441448.

Beggiato, M., Hartwich, F., & Krems, J. F. (2017). Der Einfluss von Fahrermerkmalen auf den erlebten Fahrkomfort im hochautomatisierten Fahren. at - Automatisierungstechnik, 65(7). doi: 10.1515/auto-2016-0130.

Bocklisch, F., Bocklisch, S.F., Beggiato, M., & Krems, J. F. (2017). Adaptive fuzzy pattern classification for the online detection of driver lane change intention. Neurocomputing. doi: 10.1016/j.neucom.2017.02.089.

Beggiato, M., Pereira, M., Petzoldt, T., & Krems, J.F. (2015). Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study. Transportation Research Part F: Traffic Psychology and Behaviour, 35, 75-84. doi: 10.1016/j.trf.2015.10.005.

Pereira, M., Beggiato, M., & Petzoldt, T. (2015). Use of adaptive cruise control functions on motorways and urban roads: changes over time in an on-road study. Applied Ergonomics, 50, 105-112. doi: 10.1016/j.apergo.2015.03.002.

Schmidt, K., Beggiato, M., Hoffmann, K. H., & Krems, J. F. (2014). A mathematical model for predicting lane changes using the steering wheel angle. Journal of Safety Research, 49, 85–90. doi: 10.1016/j.jsr.2014.02.014.

Beggiato, M., & Krems, J. F. (2013). The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information. Transportation Research Part F, 18, 47-57. doi: 10.1016/j.trf.2012.12.006.


Proceedings (peer-reviewed)

Beggiato, M., Witzlack, C., & Krems, J. F. (2017). Gap Acceptance and Time-To-Arrival Estimates as Basis for Informal Communication between Pedestrians and Vehicles. In Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '17). (pp. 50-57). New York, NY, USA: ACM. doi: 10.1145/3122986.3122995.

Beggiato, M., Pech, T., Leonhardt, V., Lindner, P., Wanielik, G., Bullinger-Hoffmann, A., & Krems, J. F. (2017). Lane Change Prediction: From Driver Characteristics, Maneuver Types and Glance Behavior to a Real-Time Prediction Algorithm. In K. Bengler, S. Hoffmann, D. Manstetten, A. Neukum, & J. Drüke, (Eds.) UR:BAN Human Factors in Traffic. Approaches for Safe, Efficient and Stressfree Urban Traffic. (pp. 205-221). Wiesbaden: Springer Vieweg. doi: 10.1007/978-3-658-15418-9_11.

Schmalfuß, F., Mach, S., Klüber, K., Habelt, B., Beggiato, M., Körner, A., & Krems, J. F. (2017). Potential of wearable devices for mental workload detection in different physiological activity conditions. In D. de Waard, F. Di Nocera, D. Coelho, J. Edworthy, K. Brookhuis, F. Ferlazzo, T. Franke, and A. Toffetti (Eds.) (2018). Proceedings of the Human Factors and Ergonomics Society Europe Chapter 2017 Annual Conference. ISSN 2333-4959. Available from http://hfes-europe.org

Beggiato, M., Hartwich, F., Schleinitz, K., Krems, J.F., Othersen, I., & Petermann-Stock, I. (2015). What would drivers like to know during automated driving? Information needs at different levels of automation. 7. Tagung Fahrerassistenz, München, 25.-26.11.2015. doi: 10.13140/RG.2.1.2462.6007.

Beggiato, M. (2014). Effect of ADAS use on drivers' information processing and Situation Awareness. In A. Stevens, C. Brusque & J. Krems (Eds.) Driver adaptation to information and assistance systems (pp. 57-80). London: The Institution of Engineering and Technology (IET).

Pereira, M., Lietz, H., & Beggiato, M. (2014). Development of a database for storage and analysis of behavioural data. In A. Stevens, C. Brusque, & J. Krems (Eds.), Driver adaptation to information and assistance systems (pp. 301–317). London: Institution of Engineering and Technology (IET).

Dotzauer, M., Berthon-Donk, V., Beggiato, M., Haupt, J., & Piccinini, G. (2014). Methods to assess behavioural adaptation over time as a result of ADAS use. In A. Stevens, C. Brusque & J. Krems (Eds). Driver adaptation to information and assistance systems (pp. 35-55). London: The Institution of Engineering and Technology (IET).

Beggiato, M., & Krems, J. F. (2013). Sequence analysis of glance patterns to predict lane changes on urban arterial roads. Paper presented at 6. Tagung Fahrerassistenz - Der Weg zum automatischen Fahren, Munich, 28.-29.11.2013. Retrieved from http://mediatum.ub.tum.de/node?id=1187197.

Beggiato, M., & Krems, J. F. (2012). The effects of preliminary information about adaptive cruise control on trust and the mental model of the system: a matched-sample longitudinal driving simulator study. In de Waard, D., Merat, N., Jamson, H., Barnard, Y., and Carsten, O.M.J. (Eds.), Human Factors of Systems and Technology (pp. 63-74). Maastricht, the Netherlands: Shaker Publishing.


Other publications

Beggiato, M., Rauh, N., & Krems, J. (2020). Facial Expressions as Indicator for Discomfort in Automated Driving. In T. Ahram, W. Karwowski, A. Vergnano, F. Leali, & R. Taiar (Eds.), Intelligent Human Systems Integration 2020 (pp. 932–937). Cham: Springer International Publishing. doi: 10.1007/978-3-030-39512-4_142.

Beggiato, M., Hartwich, F., Petzoldt, T., & Krems, J. F. (2020). Supporting Older Drivers’ Visual Processing of Intersections - Effects of Providing Prior Information. In: N. Stanton (Ed.). Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964, pp 107-119. Springer, Cham. doi: 10.1007/978-3-030-20503-4_10.

Hensch, A., Neumann, I., Beggiato, M., Halama, J., & Krems J. F. (2020). How Should Automated Vehicles Communicate? – Effects of a Light-Based Communication Approach in a Wizard-of-Oz Study. In: N. Stanton (Ed.). Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964, pp. 79-91. Springer, Cham. doi: 10.1007/978-3-030-20503-4_8.

Krems, J. F., & Beggiato, M. (2020). Verkehrspsychologische Aspekte im Kontext automatisierter und autonomer Fahrzeuge. In B. H. Oppermann & J. Stender-Vorwachs (Eds.), Autonomes Fahren. Rechtsprobleme, Rechtsfolgen, technische Grundlagen (2nd ed., pp. 49–60). München: Verlag C.H.Beck.

Griesbach K., Hoffmann K.H., & Beggiato M. (2019). Lane Change Prediction Using an Echo State Network. In: W. Karwowski & T. Ahram (Eds.), Intelligent Human Systems Integration 2019. Advances in Intelligent Systems and Computing, Vol. 903 (pp. 69-75). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-11051-2_11.

Beggiato, M., Hartwich, F., & Krems, J. (2018). Discomfort Detection in Automated Driving by Psychophysiological Parameters from Smartbands. In N. Van Nes & C. Voegelè (Eds.), Proceedings of the 6th HUMANIST Conference (pp. 8-13). Lyon: Humanist Publications. ISBN 978-2-9531712-5-9. http://www.humanist-vce.eu/fileadmin/contributeurs/humanist/TheHague2018/Proceedings.pdf.http://www.humanist-vce.eu/fileadmin/contributeurs/humanist/TheHague2018/Proceedings.pdf.

Ackermann, C., Beggiato, M., Blum, L.-F., & Krems, J. F. (2018). Vehicle Movement and its Potential as Implicit Communication Signal for Pedestrians and Automated Vehicles. In N. Van Nes & C. Voegelè (Eds.), Proceedings of the 6th HUMANIST Conference (pp. 86-92). Lyon: Humanist Publications. ISBN 978-2-9531712-5-9. http://www.humanist-vce.eu/fileadmin/contributeurs/humanist/TheHague2018/Proceedings.pdf.

Hensch, A., Halama, J., Ackermann, C., Beggiato, M., Neumann, I., & Krems, J. (2018). Kommunikation zwischen Fußgängern und Fahrzeugen. Querungsintentionen und interaktionsverhalten im Niedriggeschwindigkeitsbereich. In VDI (Eds.). Fahrerassistenzsysteme und automatisiertes Fahren 2018, VDI-Berichte 2335 (p. 323-336). Düsseldorf: VDI-Verlag GmbH. ISBN 978-3-18-092335-2.

Bochmann, R., Beggiato, M., Koczielski, C., & Rindermann, H. (2017). The Importance of Database Management Systems in Psychological and Educational research - A Solution for the Future. In L. Gómez Chova, A. López Martínez, & I. Candel Torres (Eds.), Edulearn 17. Conference proceedings (pp. 2751–2758). Barcelona: IATED Academy. doi: 10.21125/edulearn.2017.1580.

Beggiato, M., Witzlack, C., Springer, S., & Krems, J. F. (2017). The Right Moment for Braking as Informal Communication Signal between Automated Vehicles and Pedestrians in Crossing Situations. In N. A. Stanton (Ed.), Advances in Human Aspects of Transportation. Proceedings of the AHFE 2017 Conference on Human Factors in Transportation, July 17-21, 2017, Los Angeles, California, USA (pp. 1072–1081). Springer Verlag. doi: 10.1007/978-3-319-60441-1_101.

Witzlack, C., Beggiato, M., & Krems, J. (2016). Interaktionssequenzen zwischen Fahrzeugen und Fußgängern im Parkplatzszenario als Grundlage für kooperativ interagierende Automatisierung. In VDI (Eds.). Fahrerassistenz und automatisiertes Fahren, VDI-Berichte 2288 (p. 323-336). Düsseldorf: VDI-Verlag.

Hartwich, F., Pech, T., Schubert, D., Scherer, S., Dettmann, A., Beggiato, M., Wanielik, G., Bullinger-Hoffmann, A., & Krems, J. F. (2016). Fahrstilmodellierung im hochautomatisierten Fahren auf Basis der Fahrer-Fahrzeuginteraktion. Abschlussbericht "DriveMe". doi: 10.2314/GBV:870302329.

Beggiato, M. (2015). Changes in motivational and higher level cognitive processes when interacting with in-vehicle automation (Dissertation). TU Chemnitz. Retrieved from http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-167333.

Hartwich, F., Beggiato, M., Dettmann, A., & Krems, J.F. (2015). Drive me Comfortable: Individual Customized Automated Driving Styles for Younger and Older Drivers. In VDI (Eds.). Der Fahrer im 21. Jahrhundert. VDI-Berichte 2264 (pp.271-283). Düsseldorf: VDI-Verlag.

Beggiato, M., & Krems, J. F. (2013). Auswirkungen erwarteter und unerwarteter Systemgrenzen von Adaptive Cruise Control auf das Situationsbewusstsein im Zeitverlauf. In VDI (Eds.). Der Fahrer im 21. Jahrhundert. VDI-Berichte 2205 (pp.119-132). Düsseldorf: VDI-Verlag.

Grünseis-Pacher, E., Beggiato, M., Reiter, D., Risser, R., Chroust, S., Häusler, J., & Sommer, M. (2009). Sicher mobil mit Handicap. Vertrauliche Fahreignungsprüfung im Vorfeld der Behörde. Schriftenreihe Forschungsarbeiten aus dem Verkehrswesen, Band 193, BMVIT: Wien.

Beggiato, M., & Risser, R. (Eds.) (2009). State of the Art. Public Report of Workpackage 2 of the EU-Project CHANGE: Care of Health Advertising New Goals for Elderly people, GRUNDTVIG Multilateral Projekt 2008-2010. (Online at http://www.changeonline.eu)

Beggiato, M., & Pramstrahler, W. (2008). Gründe, Barrieren und Effekte von Weiterbildung in Südtiroler Kleinbetrieben. In AFI-IPL (Ed.), TimeS – Training in MicroEnterprises South Tyrol. Die berufliche Weiterbildung in Südtirol. Ein Beitrag zur Entwicklung des Systems (S. 54-92). Bozen: Arbeitsförderungsinstitut.

Beggiato, M., Steinmair, J., & Gasser, G. (2007). JOBFIT - Studie zum Ausbildungs- und Berufsverlauf von Jugendlichen mit besonderen Bedürfnissen im Südtiroler Berufsbildungssystem. Bozen: Autonome Provinz Bozen – Südtirol, deutsche und ladinische Berufsbildung.

Beggiato, M. (2004). Berufswahl und Berufsverlauf Südtiroler LehrabsolventInnen. Diplomarbeit, Institut für Psychologie Wien. (Online at http://www.diplomarbeiten24.de/vorschau/54450.html)

Klicpera, C., Gasteiger-Klicpera, B., & Beggiato, M. (2004): BeLiS - Berufswechsel von LehrabsolventInnen in Südtirol. Bozen: Autonome Provinz Bozen - Südtirol.


Talks, Abstracts, Poster

Beggiato, M., Hartwich, F., & Krems, J. (2020). Physiological indicators of discomfort in automated driving - Results of two driving simulator studies. In C. Dobel et al. (Eds.), TeaP 2020 - Abstracts of the 62th Conference of Experimental Psychologists (p. 18). Lengerich: Pabst Science Publishers. ISBN: 978-3-95853-593-0.

Hartwich, F., Beggiato, M., & Krems, J. (2020). Reducing discomfort in automated driving by increasing system transparency via HMI. In C. Dobel et al. (Eds.), TeaP 2020 - Abstracts of the 62th Conference of Experimental Psychologists (p. 18). Lengerich: Pabst Science Publishers. ISBN: 978-3-95853-593-0.

Beggiato, M., Hartwich, F., Simon, K., Roßner, P., Bullinger-Hoffmann, A. C., & Krems, J. (2020). Psychophysiological reactions to discomfort in automated driving. In C. Lange-Küttner (Ed.), TeaP 2019 - Abstracts of the 61th Conference of Experimental Psychologists (p. 295). Lengerich: Pabst Science Publishers. ISBN: 978-3-95853-585-5.

Beggiato, M. (2019). KomfoPilot – comfort in automated driving. Workshop Motion comfort of automated driving at the Comfort Congress, 28.-31.08.2019, TU Delft.

Neumann, I., Hensch, A., Beggiato, M., Halama, J., Krems, J.F. (2019). Einleuchtend?! Evaluation lichtbasierter Kommunikation zwischen automatisierten Fahrzeugen und anderen Verkehrsteilnehmern. In M. Vollrath & Deutsche Gesellschaft für Psychologie (Hrsg.), "Mehr Mensch im Verkehr?": Abstracts 3. Kongress Fachgruppe Verkehrspsychologie, Saarbrücken, 05.-07.3.2019 (p. 25). Universitätsbibliothek Braunschweig.

Beggiato, M. (2018). Lässt er mich queren? Die Automatisierung der Fußgänger‐Fahrzeug Interaktion. Presentation at the Braunschweiger Verkehrskolloquium, 3th of May 2018, Braunschweig, Germany. http://www.verkehrskolloquium.de/?page_id=754.

Beggiato, M., Hartwich, F., & Krems, J. (2017). Wie wollen wir gefahren werden? Komforterleben und Mensch-Technik Interaktion im automatisierten Fahren. Presentation at the ACOD Kongress + aBB Branchentag 2017, 6th of September 2017, Dresden, Germany. https://www.acod.de/news/details/acod-kongress-abb-branchentag.

Beggiato, M., Witzlack, C. & Krems, J. F. (2017). The gentle automated vehicle. Influence of vehicle speed, daytime and pedestrian's age on the expected moment of car braking as sign of cooperation. In T. Goschke, A. Bolte, & C. Kirschbaum (Eds.), TeaP 2017 - Abstracts of the 59th Conference of Experimental Psychology (p. 172-173). Lengerich: Pabst Science Publishers.

Bocklisch, F., Bocklisch, S., Beggiato, M., & Krems, J. F. (2017). Fuzzy Pattern Classification for the Online Detection of Driver Lane Change Intention. In T. Goschke, A. Bolte, & C. Kirschbaum (Eds.), TeaP 2017 - Abstracts of the 59th Conference of Experimental Psychology (p. 232). Lengerich: Pabst Science Publishers.

Beggiato, M., Hartwich, F., & Krems, J. (2017). Automated Driving Experience under Simulated and Real World Conditions. InnoTesting, Wildau (Berlin), February 23 - 24, 2017.

Krems, J., Hartwich, F., Beggiato, M., & Dettmann, A. (2017). Drive me comfortable. Poster at the 4th International Conference Aging & Cognition 2017, Zurich, April 20 - 22, 2017.

Beggiato, M. (2017). KomfoPilot - Sensorik und Datenanalyseumgebung zur Schätzung des Fahrerkomforts im automatisierten Fahren. Fachtagung „Mobilität im Wandel“, Berlin, 4th of April, 2017.

Beggiato, M. (2017). Im autonomen Fahrzeug ist keine Mensch-Technik Interaktion mehr notwendig?. 3. Zukunftskongress „Technik zum Menschen bringen“, Bonn, 26.-27. June 2017.

Körner, A., Habelt, B., Schmalfuß, F., Klüber, K., & Beggiato, M. (2017). Tragbar oder stationär? Messeigenschaften verschiedener Wearable Devices im Vergleich. In A. Schorr (Ed.), Health Psychology 2017 (pp. 24). Lengerich: Pabst. ISBN: 978-3-95853-336-3.

Witzlack, C., Beggiato, M., Schubert, S., & Krems, J. (2017). Kommunikation zwischen Fußgängern und automatisierten Fahrzeugen - eine explorative Studie zur Untersuchung verschiedener HMI-Lösungen. In M. Vollrath & Deutsche Gesellschaft für Psychologie (Hrsg.), Immer mehr Technik - von Smartphone zu Automaten: Abstracts 2. Kongress Fachgruppe Verkehrspsychologie, Bergisch Gladbach, 14.-16.2.2017 (p. 30). Universitätsbibliothek Braunschweig.

Hartwich, F., Beggiato, M., & Krems, J. (2016). The impact of automation on older and younger drivers' perception of driving comfort and joy. In J. Funke, J. Rummel, & A. Voß (Eds.), TeaP 2016 - Abstracts of the 58th Conference of Experimental Psychology (p. 118). Lengerich: Pabst Science Publishers.

Beggiato, M., & Krems, J. F. (2015). Real-time assessment of demanding driving scenarios. In C. Bermeitinger, A. Mojzisch, & W. Greve (Eds.), TeaP 2015 - Abstracts of the 57th Conference of Experimental Psychology (p. 35). Lengerich: Pabst Science Publishers.

Beggiato, M., & Krems, J. F. (2014). Dynamische Aufmerksamkeitsverteilung im Straßenverkehr: Analyse von Blickmustern vor Fahrstreifenwechseln. In O. Güntürkün (Ed.). 49. Kongress der Deutschen Gesellschaft für Psychologie, 21.-25. September 2014 (p. 526). Lengerich: Pabst Science Publishers.

Beggiato, M., Pereira, M., & Krems, J. F. (2014). Lernprozesse, Vertrauens- und Akzeptanzentwicklung im Umgang mit Automatisierung im Fahrzeug. In O. Güntürkün (Ed.). 49. Kongress der Deutschen Gesellschaft für Psychologie, 21.-25. September 2014 (p. 603). Lengerich: Pabst Science Publishers.

Beggiato, M., Pech, T., & Krems, J. F. (2014). The predictive potential of driver characteristics for lane changes on urban arterial roads. Poster presented at the 5th conference on Applied Human Factors and Ergonomics (AHFE), 19.-23 July 2014, Krakow, Poland.

Beggiato, M., & Krems, J. F. (2014). Vermeidung von Unfällen durch elektronische Steuerungs- und Beeinflussungssysteme im Verkehrsraum und im Kraftfahrzeug; Möglichkeiten der Stärkung der Aufmerksamkeit der Verkehrsteilnehmer durch das Zusammenspiel Mensch/Maschine. Presentation at the Seminar der Vereinigung der Straßenbau- und Verkehrsingenieure in Niedersachsen, 3 April 2014, Osnabrück, Germany.

Beggiato, M., & Krems, J. F. (2013). Situation Awareness in relation to the initial information about adaptive cruise control. A matched sample longitudinal driving simulator study. In U. Ansorge, E. Kirchler, C. Lamm, & H. Leder (Eds.), TeaP 2013 - Abstracts of the 55th Conference of Experimental Psychology (p.28). Lengerich: Pabst Science Publishers.

Beggiato, M. (2012). Databases as analysis tool for big and heterogeneous data in transportation research. Presentation at the ADAPTATION final event, 21-22 November 2012, Vienna, Austria.

Beggiato, M. (2012). The effect of preliminary information about ACC: a matched sample driving simulator study. Presentation at the 5th International Conference on Traffic and Transport Psychology (ICTTP), 29-31 August 2012, Groningen, The Netherlands.

Beggiato, M. (2012). Sharing methodological knowledge in qualitative data analysis. Poster presented at the Marie-Curie-Workshop, ESOF conference, 1-2 July 2012, Torino, Italy.

Beggiato, M. (2012). Can computer based trainings improve driver education?. Presentation at the CIECA Congress, 13-16 June 2012, Istanbul, Turkey.

Beggiato, M. (2011). Der Einfluss des initialen mentalen Modells eines ACC auf Fahrverhalten, Situation Awareness, Systemvertrauen und Akzeptanz. In K. Bittrich, S. Blankenberger & J. Lukas (Hrsg.), Beiträge zur 53. Tagung experimentell arbeitender Psychologen (p. 16). Lengerich: Pabst Science Publishers.

Beggiato, M. (2010). Kurz- und langfristige Veränderungen höherer kognitiver Prozesse beim Fahren mit Fahrerassistenzsystemen. Presentation at the Doktorandenworkshop der Fachgruppe Verkehrspsychologie, 16-17 September 2010, Würzburg, Germany.

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