Revisiting Decision Support Systems for Cognitive Readiness

Cegarra, Julien; Wezel, W.M.C. van

doi:10.1177/1555343412448385

Cited by 13 publications

(2 citation statements)

References 86 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…If drivers' perceived level of complexity is reduced, they are likely to be more willing to engage in automated driving. Since better-trained drivers are more capable of dealing with more complex situations [44], driver training is one way to reduce perceived situation complexity by developing automatic information processing [45], resulting in driving situations being seen as more transparent and predictable. Therefore, improving drivers' cognitive and perceptual skills will help increase engagement with vehicle automation.…”

Section: Discussionmentioning

confidence: 99%

A Path towards Sustainable Vehicle Automation: Willingness to Engage in Level 3 Automated Driving

et al. 2022

View full text Add to dashboard Cite

This paper describes a driving simulator study exploring driver willingness to engage in automated driving. The study aimed to explore factors that may influence willingness to engage (WTE) in automated driving and willingness to resume control (WTRC) in Level 3 automated vehicles during everyday driving. Automated driving is an emerging technology that promises a range of benefits. The first step towards sustainable automated driving is the successful introduction of Level 3 automated vehicles. This study investigates key factors that influence the driver’s willingness to engage in automated driving in a Level 3 automated vehicle. A purpose-built driving simulator was used. Forty participants were exposed to driving situations of differing complexity in both manual and automated driving modes, and their willingness to engage or disengage automated driving and perception of safety were recorded. Results demonstrated a strong negative effect of perceived situation complexity on willingness to engage in automated driving. Other significant factors that determine drivers’ willingness to engage in automated driving were trust in automation and driving enjoyment. The identification of perceived situation complexity as a significant factor in drivers’ willingness to engage the automated driving vehicle control mode was the major finding of this research. This finding suggests that it is possible to improve the rate of uptake and sustainability of automated driving with external interventions (technological, regulatory and publicity).

show abstract

Section: Discussionmentioning

confidence: 99%

A Path towards Sustainable Vehicle Automation: Willingness to Engage in Level 3 Automated Driving

et al. 2022

View full text Add to dashboard Cite

show abstract

“…However, such algorithms are usually based on a one-o analysis of the scheduling problem, impeding the adaptability and exibility needed for sustained user acceptance. Cegarra and Van Wezel (2012) argued that support should link to schedulers' mental models in two ways. First, the interface should use commonly accepted metaphors and make use of human pattern-recognition capabilities.…”

Section: Design Methodology For Scheduling Supportmentioning

confidence: 99%