Public Acceptance of AI Technology in Self-Flying Aircraft
Embry-Riddle Scholarly Commons · Journal article (JAAER) · oai:commons.erau.edu:jaaer-1822 · Published 2020-01-01 · Embry-Riddle Aeronautical University · 1 author
Abstract and citation only, verbatim from Embry-Riddle Scholarly Commons; full text lives there. All credit to the authors and Embry-Riddle Aeronautical University.
Abstract
The research article includes a literature dissection on the topics of public acceptance of automated vehicles, including self-driving cars and unmanned aerial vehicles. Information reviewed will be applied to the potential future application of self-flying aircraft. The use of the Technology Acceptance Model is reviewed for application of public acceptance studies. Contributing factors commonly observed include perceived ease of use, perceived usefulness, perceived risk and environmental benefits. Additionally, trust in automated technology for decision-making is reviewed. Research is based on existing studies of public acceptance in similar technologies and is applied to the likely public acceptance of self-flying aircraft.
Author
- Talley, Sarah M Embry-Riddle Aeronautical University
Keywords
- public acceptance
- TAM
- self-flying aircraft
- self-driving cars
- UAVs
- Aviation
Citation
Talley, Sarah M (2020). Public Acceptance of AI Technology in Self-Flying Aircraft. Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:jaaer-1822. https://commons.erau.edu/jaaer/vol29/iss1/3 ↗