BEHAVIOURAL ADAPTATION TO ADAPTIVE CRUISE CONTROL (ACC): IMPLICATIONS FOR PREVENTIVE STRATEGIES
By Christina M. Rudin-Brown, H. Parker. 2004
377 citations recorded by the source corpus.
Subfields: Safety, Risk, Reliability and Quality, Social Psychology
View Paper: https://www.semanticscholar.org/paper/36ee533f04baef35f3779b0ea4e051d3730feffb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety, Risk, Reliability and Quality
- J. D. de Winter
- Miltos Kyriakidis
- Riender Happee
- Neville A Stanton
- Natasha Merat
- Frank C. H. Lai
- Jong Kyu Choi
- Yong Gu Ji
In Social Psychology
- J. D. de Winter
- Miltos Kyriakidis
- Riender Happee
- Neville A Stanton
- Natasha Merat
- Pavlo Bazilinskyy
- B. van Arem
- Sina Nordhoff
Citations in the corpus
- Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence (2014, methodology): “A testtrack study by Rudin-Brown and Parker (2004) found that participants driving with ACC took longer to react to a lead vehicle’s brake lights than participants driving manually (2.7 vs. 2.0 s; N = 17).”
- Investigating the Importance of Trust on Adopting an Autonomous Vehicle (2015, background): “Rudin-Brown and Parker (2004) stated that high sensation seekers may be more likely than low sensation seekers to demonstrate behavioral adaptation of driving assistance systems.”
- Driving locus of control and driving behaviors: Inducing change through driver training (2012, neutral): “(Rudin-Brown & Parker, 2004).”
- A multi-level model on automated vehicle acceptance (MAVA): a review-based study (2019, background): “Locus of control captures individuals’ assumptions regarding the responsibility for the outcome of events (Rotter and Hochreich 1975; Rudin-Brown and Parker 2004).”
- Highly Automated Driving, Secondary Task Performance, and Driver State (2012, background): “A common theme across many of these studies is understanding drivers’ interaction with ACC (Ma & Kaber, 2005; Rudin-Brown & Parker, 2004; Seppelt & Lee, 2007; Stanton & Young, 2005), although results are conflicting.”
- Auditory interfaces in automated driving: an international survey (2015, background): “…| (CS-2015:05:4910:1:1:NEW 15 Jul 2015) 88 has been found among drivers exposed to ACC (Stanton, Young, & McCaulder, 1997; Stanton et 89 al., 2001; Rudin-Brown & Parker, 2004; Larsson, Kircher, & Hultgren, 2014), and this issue is 90 likely to be aggravated in higher levels of automated driving…”