KomfoPilot

Personalized and context-sensitive automated driving style

Partners

Chair of Communications Engineering at TU Chemnitz

Chair of Ergonomics and Innovation Management at TU Chemnitz (with further project details)

Chair of Private Law and Intellectual Property Rights at TU Chemnitz

FusionSystems GmbH

Delphi Germany GmbH (Associated Partner)

BMW AG (Associated Partner)

Funding

BMBF (Federal Ministry of Education and Research), Project Number: 16SV7690K

Duration

01/2017-12/2019

Description

KomfoPilot is the follow-up project of DriveMe and aims at assessing and enhancing comfort during automated driving. Innovative sensors such as wearable devices, eye tracking and motion tracking allow for real-time integration of information about the driver, the vehicle and the surroundings with respect to privacy issues. Using the combined sensor information, driving parameters as well as displayed information can be adapted according to the current driver state in order to avoid discomfort. For instance in case of detected growth of discomfort in dense traffic, the distance to the vehicle in front could be increased, braking and accelerating could be smoothed and more information about subsequent manoeuvres could be displayed. Effects of these measures on driving comfort and pleasure are evaluated in driving simulator studies as well as on-road tests.

Contact: Dr. Matthias Beggiato (coordinator)

Project video and project profile

Publications, talks, poster

Beggiato, M., Hartwich, F., Roßner, P., Dettmann, A., Enhuber, S., Pech, T., Gesmann-Nuissl, D., Mößner, K., Bullinger, A. C., & Krems, J. (2020). KomfoPilot - Comfortable Automated Driving. In G. Meixner (Ed.), Smart Automotive Mobility: Reliable Technology for the Mobile Human (pp. 71–154). Cham: Springer International Publishing. doi: 10.1007/978-3-030-45131-8_2.

Beggiato, M., Hartwich, F., Roßner, P., Dettmann, A., Enhuber, S., Pech, T., Rätze, T., Gesmann-Nuissl, D., Mößner, K., Bullinger, A. C., & Krems, J. (2020). Abschlussbericht KomfoPilot - Teilvorhaben: Probandenstudien und Maßnahmenentwicklung. doi: 10.2314/KXP:1741931061.

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., & 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.

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

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)

Beggiato, M., Hartwich, F., & Krems, J. (2018). Discomfort Detection in Automated Driving by Psychophysiological Parameters from Smartbands. In N. Van Nes & C. Voegelé (Eds.), Proceedings of the 6th HUMANIST Conference (pp. 8-13). Lyon: Humanist Publications. ISBN 978-2-9531712-5-9. (download)

25.10.2018: Presentation of KomfoPilot during the official opening of the master's program "Human Factors" at Chemnitz University of Technology. https://www.sachsen-fernsehen.de/neuer-studiengang-fuer-die-zukunftstechnologien-537719/

Beggiato, M., Hartwich, F., & Krems, J. (2017). Wie wollen wir gefahren werden? Komforterleben und Mensch-Technik Interaktion im automatisierten Fahren. ACOD Kongress + aBB Branchentag 2017, 6. September 2017, Dresden. https://www.autoland-sachsen.com/acod-kongress-abb-branchentag-branche-in-bewegung/

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

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

... and 7 Master's / Bachelor's theses in Psychology and Sensors & Cognitive Psychology.