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Embry-Riddle Scholarly Commons · Journal article (JAAER)
Public Acceptance of AI Technology in Self-Flying Aircraft
Attribution
This is the abstract and citation. Full text lives at Embry-Riddle Scholarly Commons — we link out rather than host. All credit to the authors and Embry-Riddle Aeronautical University.
Abstract
Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.
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 ↗