Abstract
Nowadays, subject testing represents a well-established methodology to evaluate different properties of driver information systems and driver assistance systems. Among several criteria, learnability is one important system property. User and usage strategies are dependent on the subject’s learning state, for example, to switch attendance between driving task and operation of a driver information system. Therefore it is wishful that the user acquires a model of the system, for example learns as quickly as possible. Also, the intended usage of driver assistance systems in given driving situations is influenced by the user’s experience. A suitable way to investigate related questions is to conduct a typical learning experiment and to analyse data with the given methodology. In this type of experiment, the familiarity and training state of the subject are set as independent variable. Beside learnablity, other properties of human-machine interaction are to be investigated and evaluated. In this case, however, the learning effectuated by a subject is an important dependent variable or even noise in sense of measurement theory that might cover a given main effect. After some empirical examples, possible solutions will be discussed that help to manage this problem with justifiable expense.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
2000/53/EC (2000). 2000/53/EC: Commission recommendation of 21 December 1999 on safe and efficient in-vehicle information and communication systems: A European statement of principles on human machine interface. Official Journal of the European Communities L19 43 (25.01.2000), 64–68.
Bengler, K., Noszko, Th. and Neuss, R. (2002). Usability of multimodal human-machineinteraction while driving. In Proceedings of the 9-th World Congress on ITS, CD-Rom? 9th World Congress on Intelligent Transport Systems, ITS America, October 2002.
Bortz, J. (1999). Statistik für Sozialwissenschaftler (5th ed.). Springer-Verlag, Berlin-Heidelberg.
Bundesanstalt für Straßenwesen (2000). Informations-und Assistenzsysteme im Auto benutzergerecht gestalten. Methoden für den Entwicklungsprozeß. Bd. Heft 152. Bergisch Gladbach: Bundesanstalt für Straßenwesen, 2000.
Norm DIN66234 8 8 (1986). Bildschirmarbeitsplätze: Grundsätze der Dialoggestaltung.
Frank, P. and Reichelt, W. (2001). Fahrerassistenzsysteme im Entwicklungsprozess. In Th. Jürgensohn and K.-P. Timpe (Hrsg.) (2001). Kraftfahrzeugführung. Springer, Berlin, Heidelberg, New York, pp. 71–80.
Groeger, J.A. (1991). Learning from learning: Principles for supporting drivers. In International Symposium on Automotive Technology & Automation (24th: 1991: Florence? Italy). Croydon, UK: Automotive Automation, pp. 703–709.
Haigney, D. and Westerman, S.J. (2001). Mobile (cellular) phone use and driving: A critical review of research methodology. Ergonomics, 44(2), 132–143.
Hilgard, E.R. and Bower, G.H. (1966). Theories of learning (3rd ed.). Appleton-Century-Crofts, New York.
Hoedemaeker, M. (1999). Driving Behaviour with Adaptative Cruise Control and the Acceptance by Individual Drivers. Delft University Press, Delf.
Jahn, G., Krems, J.F. and Gelau, C. (2002). Skill-development when interacting with invehicle information systems: A training study on the learnability of different MMI concepts. In D. de Waard, K.A. Brookhuis, J. Moraal and A. Toffetti (Eds.). Human factors in transportation, communication, health, and the workplace. Shaker Publishing, Maastricht, The Netherlands.
Kanis, H. (2000). Questioning validity in the area of ergonomics/human factors. Ergonomics, 43(12), 1947–1965.
Kostka, M., Dahmen-Zimmer, K., Scheufler, I., Piechulla, W. and Zimmer, A. (2004). Fahrfehlerbeobachtung durch Experten. Eine Methode zur Evaluierung von Belastung und Ablenkung des Fahrers. In A.C. Zimmer, K. Lange, et al. (Hrsg.). Experimentelle Psychologie im Spannungsfeld von Grundlagenforschung und Anwendung. Proceedings 43. Tagung experimentell arbeitender Psychologen (CD-ROM). Regensburg.
Manstetten (2005). Evaluating the traffic safety effects of driver assistance systems. AAET 2005, Automation, Assistance and Embedded Real Time Platforms for Transportation: Airplanes, Vehicles, Trains, 6th Braunschweig Conference. (Vol. 1). Braunschweig, DE.
Mayser, C. (2002). An advanced concept for integrated driver assistence systems (S.A.N.T.O.S.-Projekt). Proceedings of the 9-th World Congress on ITS, CD-Rom, 9th World Congress on Intelligent Transport Systems. ITS America, October 2002.
Rasmussen, J. (1983). Skills, rules and knowledge; signals, signs and symbols and other districtions in human performance models. IEEE Transactions on Systems, Man and Cybernetics, SMC 13(3).
Rauch, N., Totzke, I. and Krüger, H.-P. (2004). Kompetenzerwerb für Fahrerinformationssysteme: Bedeutung von Bedienkontext und Menüstruktur. In VDI-Berichte Nr. 1864. Integrierte Sciherheit und Fahrerassistenzsysteme. VDI-Verlag, Düsseldorf.
Reeves, W. (1999). Learner centered design. Sage Publications, Thousand Oaks, CA.
Sayer, J.R., Devonshire, J.M. and Flannagan, C.A. (2005). The effects of secondary tasks on naturalistic driving performance. Report No. UMTRI-2005-29. The University of Michigan Transportation Research Institute, Ann Arbor, Michigan, 48109–2150.
Simon, J. and Kopf, M. (2001). A concept for a learn-adaptive advanced driver assistance system. In CSAPC 2001, 8th Conference on Cognitive Science Approaches to Process Control, The Cognitive Work Process: Automation and Interaction, Universität der Bundeswehr, Neubiberg, Germany, 2001, pp. 1–11.
Weinberger, M. (2001). Der Einfluß von Adaptive Cruise Control Systemen auf das Fahrerverhalten. Shaker Verlag, Aachen.
Weisse, J., Landau, K., Mayser, C and König, W. (2002). A user-adaptive assistance system. In Proceedings, ORP2002-2nd International Conference on Occupational Risk Prevention, February 2002.
Woods, D.D. and Cook, R.I. (1999). Perspectives on human error. Hindsight biases and local rationality. In F.T. Durso (Ed.). Handbook of applied cognition. John Wiley and Sons, Riverton, NJ.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag London Limited
About this chapter
Cite this chapter
Bengler, K. (2007). Subject Testing for Evaluation of Driver Information Systems and Driver Assistance Systems — Learning Effects and Methodological Solutions. In: Cacciabue, P.C. (eds) Modelling Driver Behaviour in Automotive Environments. Springer, London. https://doi.org/10.1007/978-1-84628-618-6_7
Download citation
DOI: https://doi.org/10.1007/978-1-84628-618-6_7
Publisher Name: Springer, London
Print ISBN: 978-1-84628-617-9
Online ISBN: 978-1-84628-618-6
eBook Packages: Computer ScienceComputer Science (R0)