Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems

Accident Analysis and Prevention

Volumn 108, Issue , 2017, Pages 361-373

  Rahman, Md Mahmudur ^a   Lesch, Mary F ^b   Horrey, William J ^b   Strawderman, Lesley ^a  

^a MISSISSIPPI STATE UNIVERSITY   (United States)

^b LIBERTY MUTUAL RESEARCH INSTITUTE FOR SAFETY   (United States)

Author keywords

Driver acceptability; Driver attitude; Driver behavior; Intelligent transport systems; Vehicle automation

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ADAPTIVE CRUISE CONTROL; AUTOMOBILE DRIVERS; BEHAVIORAL RESEARCH; COMPUTER CONTROL; ENVIRONMENTAL IMPACT; ENVIRONMENTAL TECHNOLOGY; HIGHWAY ACCIDENTS; INTELLIGENT SYSTEMS; SURVEYS; TRAFFIC CONTROL; TRANSPORTATION;

DRIVER ACCEPTABILITY; DRIVER ATTITUDE; DRIVER BEHAVIOR; INTELLIGENT TRANSPORT SYSTEMS; VEHICLE AUTOMATIONS;

ADVANCED DRIVER ASSISTANCE SYSTEMS;

ADULT; AGED; ATTITUDE; CAR DRIVING; COMPUTER SIMULATION; FEMALE; HUMAN; MALE; MIDDLE AGED; PREVENTION AND CONTROL; PROTECTIVE EQUIPMENT; PSYCHOLOGY; QUESTIONNAIRE; TECHNOLOGY; TRAFFIC ACCIDENT; UTILIZATION;

ACCIDENTS, TRAFFIC; ADULT; AGED; ATTITUDE; AUTOMOBILE DRIVING; COMPUTER SIMULATION; FEMALE; HUMANS; MALE; MIDDLE AGED; PROTECTIVE DEVICES; SURVEYS AND QUESTIONNAIRES; TECHNOLOGY;

EID: 85029804273     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2017.09.011     Document Type: Article

References (59)

1. Adell, E., Varhelyi, A., Nilsson, L., The definition of acceptance and acceptability. Regan, M.A., Horberry, T., Stevens, A., (eds.) Driver Acceptance of New Technology. Theory, Measurement and Optimisation, 2014, Ashgate Publishing Limited, Surry, England, 11–22.
2. Adell, E., Acceptance of Driver Support Systems. In Proceedings of the european conference on human centred design for intelligent transport systems, 2010, 475–486.
3. Ajzen, I., The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50:2 (1991), 179–211.
4. Baron, R.M., Kenny, D.A., The moderator-mediator variable distinction in social sychological research: conceptual, strategic, and statistical considerations. J. Pers. Soc. Psychol., 51(6), 1986, 1173.
5. Beresford, A.R., Bacon, J., Intelligent transportation systems. Pervasive Compu. IEEE 5:4 (2006), 63–67.
6. Braitman, K.A., McCartt, A.T., Zuby, D.S., Singer, J., Volvo and Infiniti drivers’ experiences with select crash avoidance technologies. Traffic Inj. Prev. 11:3 (2010), 270–278.
7. Chen, C.-F., Chen, P.-C., Applying the TAM to travelers’ usage intentions of GPS devices. Expert Syst. Appl. 38:5 (2011), 6217–6221, 10.1016/j.eswa.2010.11.047.
8. Cicchino, J.B., McCartt, A.T., Experiences of model year 2011 Dodge and Jeep owners with collision avoidance and related technologies. Traffic Inj. Prev. 16:3 (2015), 298–303.
9. Cicchino, J.B., Eichelberger, A.H., McCartt, A.T., Buick lucerne drivers’ experiences with rear parking sensors. Traffic Inj. Prev. 16:2 (2015), 196–201.
10. Davis, F.D., Bagozzi, R.P., Warshaw, P.R., User acceptance of computer technology: a comparison of two theoretical models. Manage. Sci. 35:8 (1989), 982–1003.
11. Davis, F.D., A Technology Acceptance Model for Empirically Testing New End-user Information Systems: Theory and Results (Doctoral Dissertation, Massachusetts Institute of Technology). 1985.
12. Davis, F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13:3 (1989), 319–340.
13. Dimitrakopoulos, G., Demestichas, P., Intelligent transportation systems vehicular technology magazine. IEEE 5:1 (2010), 77–84.
14. Eichelberger, A.H., McCartt, A.T., Volvo drivers’ experiences with advanced crash avoidance and related technologies. Traffic Inj. Prev. 15:2 (2014), 187–195.
15. Eichelberger, A.H., McCartt, A.T., Toyota drivers’ experiences with dynamic radar cruise control, pre-collision system: and lane-keeping assist. J. Safety Res. 56 (2016), 67–73.
16. Elliott, M.A., Armitage, C.J., Baughan, C.J., Exploring the beliefs underlying drivers’ intentions to comply with speed limits. Transport. Res. Part F 8 (2005), 459–479.
17. Ervin, R., Sayer, J., LeBlanc, D., Bogard, S., Mefford, M., Hagan, M., Winkler, C., Automotive Collision Avoidance System Field Operational Test Report: Methodology and Results No. HS-809 900., 2005.
18. Evans, D., Norman, P., Understanding pedestrians’ road crossing decisions: an application of the theory of planned behaviour. Health Edu. Res. 13:4 (1998), 481–489.
19. Evans, D., Norman, P., Predicting adolescent pedestrians’ road-crossing intentions an application and extension of the theory of planned behaviour. Health Edu. Res. 13:4 (2003), 267–277.
20. Fagnant, D.J., Kockelman, K., Preparing a nation for autonomous vehicles: opportunities: barriers and policy recommendations. Transport. Res. Part A: Policy Prac. 77 (2015), 167–181.
21. Ferguson, S.A., Wells, J.K., Kirley, B.B., Effectiveness and driver acceptance of the Honda belt reminder system. Traffic Inj. Prev. 8:2 (2007), 123–129.
22. Fishbein, M., Ajzen, I., Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. 1975.
23. Frazier, P.A., Tix, A.P., Barron, K.E., Testing moderator and mediator effects in counseling psychology research. J. Counsel. Psychol., 51(1), 2004, 115.
24. Ghazizadeh, M., Lee, J.D., Boyle, L.N., Extending the technology acceptance model to assess automation cognition. Technol. Work 14:1 (2012), 39–49.
25. Ghazizadeh, M., Peng, Y., Lee, J.D., Boyle, L.N., Augmenting the Technology Acceptance Model with Trust: Commercial Drivers’ Attitudes towards Monitoring and Feedback. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56:1 (2012), 2286–2290, 10.1177/1071181312561481.
26. Henzler, M., Boller, A., Buchholz, M., Dietmeyer, K., Are truck drivers ready to save fuel? the objective and subjective effectiveness of an ecological driver assistance system. Paper Presented at the Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on, 2015.
27. Holland, C., Hill, R., The effects of age, gender and driver status on pedestrians’ intentions to cross the road in risky situations. Acci. Anal. Preven. 39 (2007), 224–237.
28. Hummel, T., Kühn, M., Bende, J., Lang, A., Advanced Driver Assistance Systems. 2011, German Insurance Assoc., Berlin, Germany Tech. Rep.
29. Källhammer, J.E., Smith, K., Karlsson, J., Hollnagel, E., Shouldn't Cars React as Drivers Expect?. In Proceedings of the Fourth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design Autoliv Research, Vårgårda, Sweden, 2007.
30. Kala, R., Warwick, K., Intelligent transportation system with diverse semi-autonomous vehicles. Int. J. Comput. Intell. Sys. 8:5 (2015), 886–899.
31. Kenny, D.A., Kashy, D.A., Bolger, N., Data analysis in social psychology. Handbook Soc. Psychol. 1 (1998), 233–265.
32. Kervick, A.A., Hogan, M.J., O'Hora, D., Sarma, K.M., Testing a structural model of young driver willingness to uptake Smartphone Driver Support Systems. Acci. Anal. Preven. 83 (2015), 171–181, 10.1016/j.aap.2015.07.023.
33. Larue, G.S., Rakotonirainy, A., Haworth, N.L., Darvell, M., Assessing driver acceptance of Intelligent Transport Systems in the context of railway level crossings. Transport. Res. Part F: Traff. Psychol. Behav. 30 (2015), 1–13, 10.1016/j.trf.2015.02.003.
34. LeBlanc, D., Sardar, H., Nowak Tang, M.Z., Pomerleau, D., Functional Requirements for Integrated Vehicle-Based Safety System (IVBSS)?Heavy Truck Platform. UMTRI-2008-17. 2008, University of Michigan Transportation Research Institute, Ann Arbor, MI.
35. Legris, P., Ingham, J., Collerette, P., Why do people use information technology? A critical review of the technology acceptance model. Inform. Manage. 40:3 (2003), 191–204.
36. Lesch, M., n.d. Using Theory of Planned Behavior to Assess Technology Acceptance, Manuscript in preparation.
37. Li, G., Li, S.E., Cheng, B., Field operational test of advanced driver assistance systems in typical Chinese road conditions: the influence of driver gender, age and aggression. Int. J. Automot. Technol. 16:5 (2015), 739–750.
38. Maccubbin, R.P., Staples, B.L., Kabir, F., Lowrance, C.F., Mercer, M.R., Philips, B.H., Gordon, S.R., Intelligent Transportation Systems Benefits, Costs, Deployment, and Lessons Learned: 2008 Update (No. FHWA-JPO-08-032). Washington DC : US DOT. 2008.
39. Manyika, J., Chui, M., Bughin, J., Dobbs, R., Bisson, P., Marrs, A., Disruptive Technologies: Advances That Will Transform Life, Business, and the Global Economy, Vol. 180, 2013, McKinsey Global Institute, San Francisco, CA, USA.
40. Meschtscherjakov, A., Wilfinger, D., Scherndl, T., Tscheligi, M., Acceptance of Future Persuasive In-car Interfaces Towards a More Economic Driving Behaviour. Paper presented at the Proceedings of the 1 st International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Essen, Germany, 2009.
41. NHTSA, U.S. Department of Transportation Releases Policy on Automated Vehicle Development. 2013 (Retrieved May 26 2017 from https://www.transportation.gov/briefing-room/us-department-transportation-releases-policy-automated-vehicle-development).
42. NHTSA, U.S. DOT and IIHS Announce Historic Commitment of 20 Automakers to Make Automatic Emergency Braking Standard on New Vehicles. 2016 (Retrieved July 24, 2017, from https://www.nhtsa.gov/press-releases/us-dot-and-iihs-announce-historic-commitment-20-automakers-make-automatic-emergency).
43. Najm, W.G., Stearns, M.D., Howarth, H., Koopmann, J., Hitz, J., Evaluation of an Automotive Rear-end Collision Avoidance System. 2006 (No. DOT-VNTSC-NHTSA-06-01).
44. Nodine, E., Lam, A., Najm, W., Wilson, B., Brewer, J., Integrated Vehicle-Based Safety Systems Heavy-Truck Field Operational Test Independent Evaluation. 2011 No. HS-811 464.
45. Osswald, S., Wurhofer, D., Trösterer, S., Beck, E., Tscheligi, M., Predicting Information Technology Usage in the Car: Towards a Car Technology Acceptance Model. Paper presented at the Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2012.
46. Park, E., Kim, K.J., Driver acceptance of car navigation systems: integration of locational accuracy, processing speed, and service and display quality with technology acceptance model. Perso. Ubiquitous Comput. 18:3 (2014), 503–513, 10.1007/s00779-013-0670-2.
47. Paul, A., Chauhan, R., Srivastava, R., Baruah, M., Advanced Driver Assistance Systems (No. 2016-28-0223). SAE Technical Paper. 2016.
48. Rahman, M.M., Driver Acceptance of Advanced Driver Assistance Systems and Semi-autonomous Driving Systems (Doctoral Dissertation) Retrieved from ProQuest. 2016 Publication Number 10141636.
49. Regan, M., Mitsopoulos, E., Haworth, N., Young, K., Acceptability of In-Vehicle Intelligent Transport Systems to Victorian Car Drivers. 2002, Monash University Accident Research Center, Melbourne, Australia.
50. Regan, M.A., Triggs, T.J., Young, K.L., Tomasevic, N., Mitsopoulos, E., Stephan, K., Tingvall, C., On-road evaluation of intelligent speed adaptation. Following Distance Warning and Seatbelt Reminder Systems: Final Results of the TAC SafeCar project, 253, 2006, 1–270.
51. Roberts, S.C., Ghazizadeh, M., Lee, J.D., Warn me now or inform me later: drivers’ acceptance of real-time and post-drive distraction mitigation systems. Int. J. Hum. Comput. Stud. 70:12 (2012), 967–979, 10.1016/j.ijhcs.2012.08.002.
52. Rodel, C., Stadler, S., Meschtscherjakov, A., Tscheligi, M., Towards autonomous cars: the effect of autonomy levels on acceptance and user experience. Paper Presented at the Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seattle, WA, USA, 2014.
53. Stearns, M., Vega, L.G., Independent Evaluation of the Driver Acceptance of the Cooperative Intersection Collision Avoidance System for Violations (CICAS-V) Pilot Test (No. HS-811 497). 2011.
54. Trimble, T.E., Bishop, R., Morgan, J.F., Blanco, M., Human Factors Evaluation of Level 2 and Level 3 Automated Driving Concepts: Past Research, State of Automation Technology, and Emerging System Concepts. (Report No. DOT HS 812 043)., 2014, National Highway Traffic Safety Administration, Washington, DC.
55. Van Der Laan, J.D., Heino, A., De Waard, D., A simple procedure for the assessment of acceptance of advanced transport telematics. Transport. Res. Part C: Emerg. Technol. 5:1 (1997), 1–10.
56. Van Houten, R., Reagan, I.J., Hilton, B.W., Increasing seat belt use: two field experiments to test engineering-based behavioral interventions. Transp. Res. Part F: Traff. Psychol. Behaviour. 23 (2014), 133–146.
57. Venkatesh, V., Davis, F.D., A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage. Sci. 46:2 (2000), 186–204.
58. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D., User acceptance of information technology: toward a unified view. MIS quarterly, 2003, 425–478.
59. Xu, C., Wang, W., Chen, J., Wang, W., Yang, C., Li, Z., Analyzing travelers’ intention to accept travel information. Transport. Res. Rec.: J. Transport. Res. Board 2156 (2010), 93–100, 10.3141/2156-11.