Changes in driver glance behavior when using a system that automates steering to perform a low-speed parallel parking maneuver

David G. Kidd1, Bryan Reimer2, Jonathan Dobres3, Bruce Mehler2
1Insurance Institute for Highway Safety, 1005 N. Glebe Road, Arlington, VA 22201, United States
2MIT AgeLab & New England University Transportation Center, 77 Massachusetts Avenue, E40-291, Cambridge, MA 02139, United States
3Formerly of the MIT AgeLab & New England University Transportation Center, 77 Massachusetts Avenue, E40-291, Cambridge, MA 02139, United States

Tài liệu tham khảo

Cummings, M. L. (2004). Automation bias in intelligent time critical decision support systems. American Institute for Aeronautics and Astronautics First Intelligent Systems Technical Conference. de Winter, 2014, Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence, Transportation Research Part F, 27, 196, 10.1016/j.trf.2014.06.016 Ford Motor Company (n.d.). 2010 MKS owners guide (2nd printing). USA <http://www.fordservicecontent.com/Ford_Content/catalog/owner_guides/10mksog2e.pdf>. Huey, R., Harpster., J., & Lerner, N. (1995). Field measurement of naturalistic backing behavior (DOT HS 808 532). National Highway Traffic Safety Administration: Washington, DC. International Organization for Standardization (2002). Road vehicles: Measurement of driver visual behaviour with respect to transport information and control systems; part 1: Definitions and parameters. ISO 15007-1. Geneva, Switzerland: Author. Kidd, 2017, Driver trust in five driver assistance technologies following real-world use in four production vehicles, Traffic Injury Prevention, 18, S44, 10.1080/15389588.2017.1297532 Kidd, 2016, Differences in glance behavior between drivers using a rearview camera, parking sensor system, both technologies, or no technology during low-speed parking maneuvers, Accident Analysis & Prevention, 87, 92, 10.1016/j.aap.2015.11.030 Kim, 2012, Efficacy and usage patterns for three types of rearview camera displays during backing up (Paper no. 2012-01-0287) Land, 2006, Eye movements and the control of actions in everyday life, Progress in Retinal and Eye Research, 25, 296, 10.1016/j.preteyeres.2006.01.002 Land, 2001, In what ways do eye movements contribute to everyday activities, Vision Research, 41, 3559, 10.1016/S0042-6989(01)00102-X Land, 1994, Where we look when we steer, Nature, 369, 742, 10.1038/369742a0 Ma, 2005, Situation awareness and workload in driving while using adaptive cruise control and a cell phone, International Journal of Industrial Ergonomics, 35, 939, 10.1016/j.ergon.2005.04.002 Malta, L., Aust, M. L., Faber, F., et al. (2012). European large-scale field operational tests on in-vehicle systems deliverable 6.4 Final results: Impacts on traffic safety (Version 1.1). euroFOT Consortium. Retrieved from <http://www.eurofot-ip.eu/download/library/deliverables/eurofotsp620121121v11dld64_final_results_impacts_on_traffic_safety.pdf>. McLaughlin, 2003, Driver performance evaluation of two rear parking aids (Paper no. 522) Mourant, 1970, Mapping eye-movement pattern to the visual scene in driving: An exploratory study, Human Factors, 12, 81, 10.1177/001872087001200112 National Transportation Safety Board (1997). Grounding of the Panamanian passenger ship Royal Majesty on Rose and Crown shoal near Nantucket, Massachusetts June 10, 1995 (Accident Report PB97-916401 NTSB/MAR-97/01). Washington, DC: Author, April. National Transportation Safety Board (2014). Descent below visual glidepath and impact with seawall Asiana Airlines flight 214 Boeing 777-20ER, HL7742, San Francisco, California July 6, 2013 (Accident Report NTSB/AAR-14/01 PB2014-105984). Washington, DC: Author, June. Parasuraman, 2010, Complacency and bias in human use of automation: An attentional integration, Human Factors, 52, 381, 10.1177/0018720810376055 Parasuraman, 1993, Performance consequences of automation-induced “complacency”, The International Journal of Aviation Psychology, 3, 1, 10.1207/s15327108ijap0301_1 Parasuraman, 2000, A model for types and levels of human interaction with automation, IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans, 30, 286, 10.1109/3468.844354 Parasuraman, 2008, Humans: Still vital after all these years of automation, Human Factors, 50, 511, 10.1518/001872008X312198 Reimer, 2016, Reductions in self-reported stress and anticipatory heart rate with the use of a semi-automated parallel parking system, Applied Ergonomics, 52, 120, 10.1016/j.apergo.2015.07.008 Reimer, 2015 Rudin-Brown, 2012, Behavioral adaptation as a consequence of extended use of low-speed backing aids, 285 Shinar, 2008, Looks are (almost) everything: Where drivers look to get information, Human Factors, 50, 380, 10.1518/001872008X250647 Singh, 1997, Automation-induced monitoring inefficiency: Role of display location, International Journal of Human-Computer Studies, 46, 17, 10.1006/ijhc.1996.0081 Smith, 2005, Methodology for capturing driver eye glance behavior during in-vehicle secondary tasks, Transportation Research Record, 1937, 61, 10.1177/0361198105193700109 Stanton, 2005, Driver behavior with adaptive cruise control, Ergonomics, 48, 1294, 10.1080/00140130500252990 Tesla (2018). Model S Owner’s Manual, 2018.12, March 22, 2018. Retrieved from <https://www.tesla.com/sites/default/files/model_s_owners_manual_north_america_en_us.pdf>. Tivesten, 2015, The timecourse of driver visual attention in naturalistic driving with adaptive cruise control and forward collision warning Totzke, 2010, Semi-autonomous advanced parking assist – A source of drivers’ distraction?, 1