Yannick Forster
ABSTRACT
Cooperative Conditionally Automated Driving (CAD) systems pose new challenges to the development of human-machine interfaces (HMI). The system's current status and intentions must be communicated unambiguously to ensure safe driver-system interaction and acceptance. This topic is becoming increasingly important as advanced automated driving functions are expected to carry out tactical and strategical driving maneuvers. Within the current study, an HMI for CAD was designed and evaluated by a sample of human factors experts (N=6). The participants passed seven interaction scenarios in which they either had to take over control or let the system execute a maneuver. Driving task responsibility was explicitly communicated by the HMI (e.g., by coloring and semantic text information). Quantitative and qualitative system usability was examined during and after the drive. Results pointed towards a very good overall usability and acceptance. Except for one case, interactions went according to the system's intention. Suggested design improvements were implemented.
- V.A. Banks, N. A. Stanton, & C. Harvey, "What the drivers do and do not tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations." Ergonomics, 57(3). p. 332--342. 2014. Google Scholar
- J. Brooke, "SUS-A quick and dirty usability scale," Usability evaluation in industry, 189(194): p. 4--7. 1996.Google Scholar
- D. Bruemmer, D. Few, R. Boring, J. Marble, M. Walton, & C. Nielsen, "Shared understanding for collaborative control," Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 2005. 35(4): p. 494--504. Google ScholarDigital Library
- D. Damböck, M. Farid, L. Tönert, & K. Bengler, "Übernahmezeiten beim hochautomatisierten Fahren," in 5. Tagung Fahrerassistenz. München. 2012Google Scholar
- F.D. Davis, "Perceived usefulness, perceived ease of use, and user acceptance of information technology," MIS quarterly. p. 319--340. 1989. Google ScholarDigital Library
- N. Leveson, D. Pinnel, S. Sandys, S. Koga, & J. Reese, "Analyzing software specifications for mode confusion potential," in Proceedings of a Workshop on Human Error and System Development. 1997.Google Scholar
- L. Lorenz, P. Kerschbaum, S. Hergeth, C. Gold, & J. Radlmayr, "Der Fahrer im Hochautomatisierten Fahrzeug. Vom Dual-Task zum Sequential Task Paradigma," in 7. Tagung Fahrerassistenz. München. 2015.Google Scholar
- L. Manca, J.C.F.d.W., & R. Happee, "Visual Displays for Automated Driving: a Survey," in Automotive UI 2015 - Workshop on Adaptive Ambient In-Vehicle Displays and Interactions (WAADI). 2015. Nottingham.Google Scholar
- F. Naujoks, A. Forster, K. Wiedemann, & A. Neukum, "A Human-Machine Interface for Cooperative Highly Automated Driving," in 7th International Conference on Applied Human Factors and Ergonomics. 2016. Orlando, USA.Google Scholar
- F. Naujoks, H. Grattenthaler, A. Neukum, G. Weidl, & D. Petrich, "Effectiveness of advisory warnings based on cooperative perception," in IET Intell. Transp. Sy. 9. 2015. p. 606--617.Google ScholarCross Ref
- F. Naujoks, C. Mai, & A. Neukum, "The effect of urgency take-over requests during highly automated driving under distraction conditions." in 5th International Conference on Applied Human Factors and Ergonomics AHFE. Krakow. 2014.Google Scholar
- F. Naujoks, C. Purucker, A. Neukum, S. Wolter, & R. Steiger, "Controllability of Partially Automated Driving functions--Does it matter whether drivers are allowed to take their hands off the steering wheel?" Trans. Res. F.-Traf., 2015. 35: p. 185--198.Google ScholarCross Ref
- NHTSA, Preliminary Statement of Policy Concerning Automated Vehicles. National Highway Traffic Safety Administration. 2013: Washington, D.C.Google Scholar
- A. Rauch, F. Klanner, R. Rasshofer, & K. Dietmayer, "Car2x-based perception in a high-level fusion architecture for cooperative perception systems," in Intelligent Vehicles Symposium (IV). 2012, IEEE Press: New York. p. 270--275. Google ScholarCross Ref
- M.A. Regan et al., "On-road evaluation of intelligent speed adaptation, following distance warning and seatbelt reminder systems: Final results of the TAG SafeCar project." Monash University Accident Research Centre Reports. 253: p. 270. 2006Google Scholar
- M. Saffarian, J.C.F. De Winter, & R. Happee, "Automated driving: human-factors issues and design solutions," in Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2012. Google ScholarCross Ref
- B.W. Smith, "SAE levels of driving automation," Center for Internet and Society. Stanford Law School. http://cyberlaw.stanford.edu/blog/2013/12/sae-levels-drivingautomation, 2013.Google Scholar
- I. Totzke, F. Naujoks, D. Mühlbacher, & H.-P. Krüger, "Precision of congestion warnings: Do drivers really need warnings with precise information about the congestion tail's position?," in Human Factors of Systems and Technology, D. Waard, Jamson, A.H., Barnard, Y., Carsten, O.M.Y., Editor. Shaker Publishing. p. 235--248. 2012.Google Scholar
- K. Wiedemann, N. Schömig, C. Mai, F. Naujoks, & A. Neukum, "Drivers' monitoring behavior and interaction with non-driving related tasks during driving with different automation levels", in 6th International Conference on Applied Human Factors and Ergonomics. Las Vegas, USA. 2015.Google Scholar
- D. Woods, J. Tittle, M. Feil, & A. Roesler, "Envisioning human-robot coordination in future operations," Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 2004. 34(2): p. 210--218. Google ScholarDigital Library
Index Terms
- Your Turn or My Turn?: Design of a Human-Machine Interface for Conditional Automation
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