Driving acceptance: Applying structural equation modeling to in-vehicle automation acceptance

AutomotiveUI 2017 - 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, Adjunct Proceedings

Volumn , Issue , 2017, Pages 190-194

  May, Keenan R ^a   Noah, Brittany E ^a   Walker, Bruce N ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Automated Driving; Methods; Structural Equation Modeling (SEM); Technology Acceptance

Indexed keywords

AUTOMATION;

AUTOMATED DRIVING; AUTOMATED SYSTEMS; AUTOMATED VEHICLES; IN-VEHICLE AUTOMATION; METHODS; STRUCTURAL EQUATION MODELING; TECHNOLOGY ACCEPTANCE; USER CHARACTERISTICS;

USER INTERFACES;

EID: 85034829903     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3131726.3131755     Document Type: Conference Paper

References (16)

1. James M. Anderson, Nidhi Kalra, Karlyn D. Stanley, Paul Sorensen, Constantine Samaras, and Oluwatobi A. Oluwatola. 2014. Autonomous vehicle technology: A guide for policymakers. Rand Corporation
2. Katrin Arning and Martina Ziefle. 2007. Understanding age differences in PDA acceptance and performance. Computers in Human Behavior, 23(6), 2904-2927.
3. Judy Van Biljon, and Paula Kotz é. 2007. Modelling the Factors that Influence Mobile Phone Adoption. ACM International Conference Proceeding of the 2007 annual research conference of the South African institute of computer scientists and information technologists on Riding the wave of Technology. Port Elizabeth, (2007), 152-161.
4. Barbara M. Byrne. 2006. Structural Equation Modeling with EQS, New York, NY: Taylor & Francis Group.
5. Mark T. Dishaw, and Diane M. Strong. 1999. Extending the technology acceptance model with task-technology fit constructs. Information & management, 36(1), 9-21.
6. Fred D. Davis. 1989. "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology." MIS Quarterly 319-40.
7. Fred D. Davis. 1993. "User acceptance of information technology: system characteristics, user perceptions and behavioral impacts." Int. J. Man-Machine Studies 38, (1993) 475-487.
8. Dan Fagella. 2017. "Self-driving car timeline for 11 top automakers." Retrieved from https://venturebeat.com/category/transportation
9. Martin Fishbein and Icek Ajzen. 1975. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.
10. Mahtab Ghazizadeh, John D. Lee, and Linda Ng Boyle. 2012. "Extending the Technology Acceptance Model to Assess Automation." Cognition, Technology & Work 14(1):39-49. Retrieved (http://link.springer.com/10.1007/s10111-011-0194-3).
11. Dale L. Goodhue and Ronald L. Thompson (1995). Tasktechnology fit and individual performance. MIS quarterly, 213-236.
12. Mike A. Nees. 2016. Acceptance of Self-driving Cars: An Examination of Idealized versus Realistic Portrayals with a Self-driving Car Acceptance Scale. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 60, 1 (2016), 1449-1453.
13. Karen Renaud, & Judy Van Van Biljon. 2008. Predicting technology acceptance and adoption by the elderly: a qualitative study. In Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology (pp. 210-219). ACM.
14. Everett M. Rogers. 1995. Diffusion of Innovations. Retrieved (http://hollis.harvard.edu/?itemid=%7Clibrary/m/aleph %7C006256656).
15. SAE International. 2014. Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving Systems. SAE Int. J3016 (2014), 1-12. DOI:https://doi.org/10.4271/J3016-201609
16. David Watson, Lee A. Clark, Auke Tellegen. 1988. Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of personality and social psychology 54.6 (1988): 1063.