Acceptance of artificial intelligence in cars : a survey approach

Publikationstyp
Conference Paper
Date Issued
2021-11-21
Sprache
English
Author(s)
Strobel, Christina  
Digital Economics W-5  
Dana, Jason  
TORE-URI
https://hdl.handle.net/11420/48505
Start Page
556
End Page
573
Citation
23rd International Conference on Human-Computer Interaction (HCII 2021)
Contribution to Conference
23rd International Conference on Human-Computer Interaction, HCII 2021  
Publisher DOI
10.1007/978-3-030-90963-5_42
Publisher
Springer
ISBN
978-3-030-90962-8
978-3-030-90963-5
This exploratory descriptive survey analyzes the acceptance of different automated systems used in partly and fully autonomous cars, and whether there is a difference between the level of acceptance for someone’s own use and desire for others to use them. The survey reports answers from 199 respondents to an online questionnaire run on Amazon Mechanical Turk (Amazon MTurk). The majority of respondents express high or very high acceptance of partly automated systems; however, when it comes to full automation, the acceptance rate drops significantly. Moreover, the acceptance rate for roughly half of the systems does not differ significantly for the respondent’s own use and use by others.
DDC Class
005: Computer Programming, Programs, Data and Security
620: Engineering