Effects of road surface appearance and low friction warning systems on driver behaviour and confidence in the warning system

Ergonomics

Volumn 52, Issue 2, 2009, Pages 165-176

  Kircher, Katja ^a   Thorslund, Birgitta ^a  

^a SWEDISH NATIONAL ROAD AND TRANSPORT RESEARCH INSTITUTE   (Sweden)

Author keywords

Driving simulator; IVIS; Low friction warning; System trust

Indexed keywords

CONTROL GROUPS; DRIVER BEHAVIOUR; DRIVER SUPPORT SYSTEM; DRIVING SIMULATOR; DRIVING SPEED; EXPERIMENTAL GROUPS; HIGH FIDELITY; HIGH IMPACT; LOW FRICTION; ROAD CONDITION; ROAD SURFACES; TRAFFIC SAFETY; WARNING SYSTEMS;

ALARM SYSTEMS; AUTOMOBILE DRIVERS; AUTOMOBILE SIMULATORS; AUTOMOBILES; FLUORINE CONTAINING POLYMERS; ROADS AND STREETS; SPEED; TRIBOLOGY;

FRICTION;

ARTICLE; BEHAVIOR; CONTROLLED STUDY; DRIVER; EXPERIMENTAL STUDY; FRICTION; HUMAN; LOW FRICTION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RATING SCALE; ROAD SURFACE APPEARANCE; SURFACE PROPERTY; TRAFFIC ACCIDENT; TRAFFIC SAFETY; VELOCITY; ADULT; CAR DRIVING; CASE CONTROL STUDY; COMPUTER SIMULATION; EQUIPMENT DESIGN; FEMALE; MALE; MAN MACHINE INTERACTION; MIDDLE AGED; PATTERN RECOGNITION; PROTECTIVE EQUIPMENT; TASK PERFORMANCE;

ACCIDENTS, TRAFFIC; ADULT; AUTOMOBILE DRIVING; CASE-CONTROL STUDIES; COMPUTER SIMULATION; EQUIPMENT DESIGN; FEMALE; HUMANS; MALE; MAN-MACHINE SYSTEMS; MIDDLE AGED; PATTERN RECOGNITION, VISUAL; PROTECTIVE DEVICES; TASK PERFORMANCE AND ANALYSIS;

EID: 67650351359     PISSN: 00140139     EISSN: 13665847     Source Type: Journal    
DOI: 10.1080/00140130802277547     Document Type: Article

References (28)

1. Abe, G. and Richardson, J., 2004. The effect of alarm timing on driver behaviour: an investigation of differences in driver trust and response to alarm according to alarm timing. Transportation Research Part F, 7 (5), 307-322.
2. Abe, G. and Richardson, J., 2005. The influence of alarm timing on braking response and driver trust in low speed driving. Safety Science, 43, 639-654.
3. Abe, G. and Richardson, J., 2006. Alarm timing, trust and driver expectation for forward collision warning systems. Applied Ergonomics, 37 (5), 577-586.
4. Bliss, J.P. and Acton, S.A., 2003. Alarm mistrust in automobiles: How collision alarm reliability affects driving. Applied Ergonomics, 34, 499-509.
5. Brackstone, M. and McDonald, M., 2007. Driver headway: How close is too close on a motorway? Ergonomics, 50 (8), 1183-1195.
6. Funke, G., et al., 2007. Vehicle automation: A remedy for driver stress? Ergonomics, 50 (8), 1302-1323.
7. Gupta, N., Bisantz, A.M., and Singh, T., 2002. The effects of adverse condition warning system characteristics on driver performance: an investigation of alarm signal type and threshold level. Behaviour Information Technology, 21 (4), 235-248.
8. Heino, A., 1996. Risk taking in car driving: Perceptions, individual differences and effects of safety incentives. Groningen: University of Groningen.
9. Kircher, K., 2007. Simulator study, Deliverable 2.3 within the EU-funded project INTRO, Project no. 012344. Linköping, Sweden: Contractor: VTI.
10. Lee, J.D. and Moray, N., 1992. Trust, control strategy and allocation of function in human-machine systems. Ergonomics, 35 (10), 1243-1270.
11. Lee, J.D. and See, K.A., 2004. Trust in automation: Designing for appropriate reliance. Human Factors, 46, 50-80.
12. Lees, M.N. and Lee, J.D., 2007. The influence of distraction and driving context on driver response to imperfect collision warning systems. Ergonomics, 50 (8), 1264-1286.
13. Meyer, J., 2004. Conceptual issues in the study of dynamic hazard warnings. Human Factors, 46, 196-204.
14. Muir, B.M. and Moray, N., 1996. Trust in automation: Part II. Experimental studies of trust and human intervention in process control simulation. Ergonomics, 39, 429-460.
15. Ng Boyle, L. and Mannering, F., 2004. Impact of traveler advisory systems on driving speed: some new evidence. Transportation Research Part C, 12 (1), 57-72.
16. Parasuraman, R., Molloy, R., and Singh, I.L., 1993. Performance consequences of automation-induced 'complacency'. The International Journal of Aviation Psychology, 3 (1), 1-33.
17. Peltola, H. and Kulmala, R., 2000. Weather related intelligent speed adaptation - experience from a simulator. In: Paper presented at the 7th world congress on intelligent transport systems, 6-9 November, Turin, Italy. Brussels: ERTICO, ITS Congress Association.
18. Peterson, S., Hoffer, G., and Milner, E., 1995. Are drivers of air-bag-equipped cars more aggressive? Journal of Law and Economics, 38 (2), 251-264.
19. Rämä, P. and Kulmala, R., 2000. Effects of variable message signs for slippery road conditions on driving speed and headways. Transportation Research Part F, 3, 85-94.
20. Sheridan, T.B., 1988. Trustworthiness of command and control systems. Proceedings of the Conference on Man-Machine Systems, 427-431. Elmsford, NY: Peiganon.
21. Swedish Road Administration, 1996. Drift 96, Väglagstjänster, Allmän teknisk beskrivning av driftstandard, vol. 1996:016.
22. Tay, R., 2002. Tin cans or assault vehicles? The role of crashworthiness and non-aggressiveness in vehicle safety design, promotion and regulation. IATTS Research, 26 (2), 92-98.
23. Thorslund, B. and Kircher, K., 2006. Results from two focus groups about low friction warning systems. Internal Report. Linköping, Sweden: VTI (Swedish National Road and Transport Research Institute).
24. Vägförvaltningen, 2001. Vintervägha°llning - Kvalitetskrav 2001, styrning av förverkligandet. Helsinki.
25. VTI, 2007. Driving simulato. Research - Technical equipment [online]. Available from: http://www.vti.se/templates/Page_3257.aspx [Accessed 3 April 2008].
26. Wickens, C.D., et al., 2005. Pilot dependence on imperfect diagnostic automation in simulated UAV flights: An attentional visual scanning analysis. Technical Report No. AHFD-05-02/MAAD-05-02. Savoy, IL: University of Illinois at Urbana-Champaign, AHFD.
27. Wilde, G.J.S., 1982. The theory of risk homeostasis: Implications for safety and health. Risk Analysis, 2, 209-255.
28. Young, K.L., Regan, M.A., and Mitsopoulos, E., 2004. Acceptability to young drivers of in-vehicle intelligent transport systems. Road & Transport Research, 13 (2), 7-13.