Driver trust in five driver assistance technologies following real-world use in four production vehicles

Traffic Injury Prevention

Volumn 18, Issue , 2017, Pages S44-S50

  Kidd, David G ^a   Cicchino, Jessica B ^a   Reagan, Ian J ^a   Kerfoot, Laura B ^a  

^a Insurance Institute for Highway Safety ^*  (United States)

Author keywords

advanced vehicle technology; crash avoidance; driver assistance systems; Trust

Indexed keywords

AVOIDANCE BEHAVIOR; CONTROLLED STUDY; DRIVER; EMPLOYEE; HIGHWAY; HUMAN; HUMAN EXPERIMENT; INFORMATION PROCESSING; INSURANCE; SAFETY; STATISTICAL MODEL; TRUST; ADULT; AGED; CAR DRIVING; FEMALE; MALE; MIDDLE AGED; MOTOR VEHICLE; PROTECTIVE EQUIPMENT; PSYCHOLOGY; STATISTICS AND NUMERICAL DATA; UTILIZATION;

ADULT; AGED; AUTOMOBILE DRIVING; FEMALE; HUMANS; MALE; MIDDLE AGED; MOTOR VEHICLES; PROTECTIVE DEVICES; TRUST;

EID: 85018816230     PISSN: 15389588     EISSN: 1538957X     Source Type: Journal    
DOI: 10.1080/15389588.2017.1297532     Document Type: Article

References (27)

1. Abe G, Richardson J. The influence of alarm timing on braking response and driver trust in low speed driving. Safety Sci. 2005;43:639–654.
2. Abe G, Richardson J. Alarm timing, trust and driver expectation for forward collision warning systems. Appl Ergon. 2006;37:577–586.
3. Beggiato, M, Krems, JF. The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information. Transp Res Part F. 2013;18:47–57.
4. Beggiato, M, Pereira, M, Petzoldt, T, Krems, JF. Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study. Transp Res Part F. 2015;35:75–84.
5. Braitman KA, McCartt AT, Zuby DS, Singer J. Volvo and Infiniti drivers' experiences with select crash avoidance technologies. Traffic Inj Prev. 2010;11:270–278.
6. Cicchino JB. Effectiveness of forward collision warning and autonomous emergency braking systems in reducing front-to-rear crash rates. Accid Anal Prev. 2017;99A:142–152.
7. Cicchino JB, McCartt AT. Experiences of model year 2011 Dodge and Jeep owners with collision avoidance and related technologies. Traffic Inj Prev. 2015;16:298–303.
8. Cohen, JA. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20:37–46.
9. de Winter JCF, Gorter CM, Schakel WJ, van Arem B. Pleasure in using adaptive cruise control:A questionnaire study in the Netherlands. Traffic Inj Prev. 2017;18:216–224.
10. Eichelberger AH, McCartt AT. Volvo drivers' experiences with advanced crash avoidance and related technologies. Traffic Inj Prev. 2014;15:187–195.
11. Eichelberger AH, McCartt AT. Toyota drivers' experiences with Dynamic Radar Cruise Control, Pre-Collision System, and Lane-Keeping Assist. J Safety Res. 2016;56:67–73.
12. Flannagan C, LeBlanc D, Bogard S, Nobukawa K, Narayanaswamy P, Leslie A, Keifer R, Marchione M, Beck C, Lobes K. Large-scale field test of forward collision alert and lane departure warning systems. Washington, DC:National Highway Traffic Safety Administration; 2016. Publication DOT HS 812 247.
13. Highway Loss Data Institute. Vehicle feature information. Arlington, VA:Author; 2016.
14. Jermakian, JS. Crash avoidance potential of four passenger vehicle technologies. Accid Anal Prev. 2011;43:732–740.
15. Jian, J, Bisantz, AM, Drury, CG. Foundations for an empirically determined scale of trust in automated systems. Int J Cogn Ergon. 2000;4:53–71.
16. Larsson AFL. Driver usage and understanding of adaptive cruise control. Appl Ergon. 2012;43:501–506.
17. Lee, JD, See, KA. (2004). Trust in automation:Designing for appropriate reliance. Hum Factors. 2004;46:50–80.
18. Lees MN, Lee LD. The influence of distraction and driving context on driver response to imperfect collision warning systems. Ergonomics. 2007;50:1264–1286.
19. Muir, BM, Moray, N. Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation. Ergonomics. 1996;39:429–460.
20. Parasuraman R, Riley V. Humans and automation:Use, misuse, disuse, abuse. Hum Factors. 1997;39:230–253.
21. Rajaonah B, Anceaux F, Vienne F. Trust and the use of adaptive cruise control:A study of a cut-in situation. Cogn Technol Work. 2006;8:146.
22. Reagan IJ, McCartt AT. Observed activation status of lane departure warning and forward collision warning of Honda vehicles at dealership service centers. Traffic Inj Prev. 2016;17:827–32.
23. Rudin-Brown CM, Noy YI. Investigation of behavioral adaptation to lane departure warnings. Transport Res Rec. 2002;1083:30–37.
24. Sanchez D, Garcia E, Saez M, et al. SP6 D6.3 Final results:User acceptance and user-related aspects. European Field Operational Test (euroFOT); 2012. Available at:http://www.eurofot-ip.eu/download/library/deliverables/eurofotsp620121119v11dld63_user_acceptance_and_userrelated_aspects.pdf.
25. Sternlund S, Strandroth J, Rizzi M, Lie A, Tingvall C. The effectiveness of lane departure warning systems—A reduction in real-world passenger car injury crashes. Traffic Inj Prev. 2017;18:225–229.
26. Strand B, Nilsson J, Karlsson ICM, Nilsson L. Exploring end-user experiences:Self-perceived notions on use of adaptive cruise control systems. IET Trans Intell Transp Syst. 2011;5:134–140.
27. Streiner, DL. Starting at the beginning:An introduction to coefficient alpha and internal consistency. J Pers Assess. 2003;80:99–103.