Towards Autonomous Cars: The Effect of Autonomy Levels on Acceptance and User Experience
By C. Rödel, Susanne Stadler, Alexander Meschtscherjakov, M. Tscheligi. International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2014
373 citations recorded by the source corpus.
Subfields: Applied Psychology, Safety, Risk, Reliability and Quality, Social Psychology
View Paper: https://www.semanticscholar.org/paper/40f382e721319b4d93c07e6dac462dfbeac2c33d
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In Applied Psychology
In Safety, Risk, Reliability and Quality
In Social Psychology
- Miltos Kyriakidis
- J. D. de Winter
- Riender Happee
- B. van Arem
- Sina Nordhoff
- Jay H. Lee
- Lesley J. Strawderman
- William J. Horrey
Citations in the corpus
- Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems. (2017, background): “, 2005; Evans and Norman, 1998, 2003; Holland and Hill, 2007) and from recent studies regarding ADAS acceptance (Lesch, n.d.; Rodel et al., 2014), a scenario-based survey approach was utilized to introduce ADAS technologies to participants and to gather responses on acceptance.”
- Industrial Artificial Intelligence in Industry 4.0 - Systematic Review, Challenges and Outlook (2020, methodology): “To this extent, the taxonomy of system autonomy based on AI adopted by the Plattform Industrie 4.0 [9] can be used, defining a six-level model of automated decision-making (akin to the classification used applicable to autonomous driving [10]) on the basis of industrial processes.”
- Acceptance of Driverless Vehicles: Results from a Large Cross-National Questionnaire Study (2018, background): “In contrast, one online survey study in their review [19] found that people aged 36 to 65 had a more positive attitude and a stronger intention to use automated vehicles than people aged 18 to 35.”