Effects of adaptive cruise control and highly automated driving on workload and situation awareness: A review of the empirical evidence

701 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Human factors of transitions in automated driving: A general framework and literature survey (2016, methodology): “A meta-analysis by De Winter et al. (2014) showed that drivers’ overall workload while driving in SAE level 3 (driving States 3 and 4) automation is substantially lower than while driving with ACC (driving State 2.1).”
Cognitive Offloading. (2016, background): “For example, driving a highly automated vehicle can improve situation awareness relative to manual driving if individuals are motivated to attend to the environment, but can impair it if they decide to devote ‘freed resources’ to driving-unrelated tasks [99].”
Auditory interfaces in automated driving: an international survey (2015, background): “…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 (De Winter et al., 2014; Strand et 91 al., 2014).”
Public opinion on automated driving: results of an international questionnaire among 5000 respondents (2015, methodology): “was adopted in an exploratory CrowdFlower study by De Winter et al. (2014). Overall, the developmental status of a country (either expressed in accident statistics, educational performance, or GDP per person) is predictive of various”