Surrendering personal control to automation: Appalling or appealing?

Syahrivar, Jhanghiz; Gyulavári, Tamás; Jászberényi, Melinda; Ásványi, Katalin; Kökény, László; Chairy, Chairy

doi:10.1016/j.trf.2021.03.018

Cited by 27 publications

(15 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, drivers who enjoy driving may like to have control over their vehicles. Supporting previous studies (7,12,41,45), significant country differences were determined in the preferred level of vehicle automation. Drivers from Turkey Note: EAD = external affective demands; SS = safety skills; CI = confidence interval; Country (0: Turkey, 1: Sweden).…”

Section: Discussionsupporting

confidence: 73%

“…For instance, unlike German, Japanese, and U.S. drivers, Chinese drivers had higher acceptance across different conditions ( 23 ). Syahrivar et al ( 12 ) also found that while Indonesian participants reported more desire for control and a more favorable attitude toward and intention to use automated vehicles, Hungarian participants preferred higher levels of automation.…”

mentioning

confidence: 96%

“…Similarly, Qu et al ( 8 ) found that males perceived more benefits in the usefulness of autonomous vehicles. In addition, Syahrivar et al ( 12 ) found that driving experience and frequency were negatively correlated with Hungarian participants’ automated vehicle preferences.…”

mentioning

confidence: 99%

“…In addition to these individual (micro) level differences, different studies have reported significant macro-level country differences in various aspects of automated vehicles ( 7 , 12 , 23 , 24 ). In one study, road users from China, Japan, Germany, and the U.S. reported different patterns of automated vehicle acceptance.…”

mentioning

confidence: 99%

See 3 more Smart Citations

Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety

Öztürk

Warner

Özkan

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Automated systems present great capabilities with a wide range of options. In this respect, vehicle preferences and factors affecting these preferences are important for the future of automated systems. While automated systems offer varied features and improvements for drivers and general traffic safety, the relationship between drivers’ perceptions of traffic systems and driver skills have not been studied. The present study, therefore, focuses on country differences and the relationships between traffic climate and driver skills and their impact on the preferred level of vehicle automation for drivers in Turkey and Sweden. The study was conducted with 318 drivers (age: mean [M] = 22.41, standard deviation [SD] = 2.77) from Turkey and 312 drivers (age: M = 28.80, SD = 8.53) from Sweden in 2020. A questionnaire package asking for demographic information and preferred levels of vehicle automation—Traffic Climate Scale (TCS) and the Driver Skill Inventory (DSI)—was completed. A series of analyses of covariance (ANCOVA), hierarchical regression, and moderated moderation analyses were conducted. Drivers from Turkey preferred higher automation levels than drivers from Sweden. Drivers with higher perceived safety skills, with lower perceived perceptual-motor skills or perceiving the traffic system as more externally demanding preferred higher automation levels. Drivers’ automation preferences were affected by various individual and country-level factors. For the first time, drivers’ automation preferences were elaborated in relation to traffic climate and driver skills in two countries with different levels of traffic safety. Theoretical and practical implications of the findings are discussed in the light of the literature.

show abstract

Section: Discussionsupporting

confidence: 73%

mentioning

confidence: 96%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety

Öztürk

Warner

Özkan

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

show abstract

“…A common conception held in industry is that users of (automated) cars should be targeted based on key socio-demographic attributes ( Christensen et al, 2022 ). Future research should critically re-assess the role of age and gender, using a representative and balanced sample of the general population of car drivers, considering other personality traits being pivotal for the human-machine collaboration and acceptance of partial automation (e.g., locus of control) (e.g., see Syahrivar et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Do driver’s characteristics, system performance, perceived safety, and trust influence how drivers use partial automation? A structural equation modelling analysis

Nordhoff

Stapel

et al. 2023

Front. Psychol.

View full text Add to dashboard Cite

The present study surveyed actual extensive users of SAE Level 2 partially automated cars to investigate how driver’s characteristics (i.e., socio-demographics, driving experience, personality), system performance, perceived safety, and trust in partial automation influence use of partial automation. 81% of respondents stated that they use their automated car with speed (ACC) and steering assist (LKA) at least 1–2 times a week, and 84 and 92% activate LKA and ACC at least occasionally. Respondents positively rated the performance of Adaptive Cruise Control (ACC) and Lane Keeping Assistance (LKA). ACC was rated higher than LKA and detection of lead vehicles and lane markings was rated higher than smooth control for ACC and LKA, respectively. Respondents reported to primarily disengage (i.e., turn off) partial automation due to a lack of trust in the system and when driving is fun. They rarely disengaged the system when they noticed they become bored or sleepy. Structural equation modelling revealed that trust had a positive effect on driver’s propensity for secondary task engagement during partially automated driving, while the effect of perceived safety was not significant. Regarding driver’s characteristics, we did not find a significant effect of age on perceived safety and trust in partial automation. Neuroticism negatively correlated with perceived safety and trust, while extraversion did not impact perceived safety and trust. The remaining three personality dimensions ‘openness’, ‘conscientiousness’, and ‘agreeableness’ did not form valid and reliable scales in the confirmatory factor analysis, and could thus not be subjected to the structural equation modelling analysis. Future research should re-assess the suitability of the short 10-item scale as measure of the Big-Five personality traits, and investigate the impact on perceived safety, trust, use and use of automation.

show abstract

Role of policy and consumer attitudes in people’s intention to use autonomous vehicles: a comparative study in China and the USA

Li,

Zou,

Agrawal

et al. 2024

Transportation

View full text Add to dashboard Cite

Surrendering personal control to automation: Appalling or appealing?

Cited by 27 publications

References 50 publications

Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety

Automation Preferences by Traffic Climate and Driver Skills in Two Samples From Countries with Different Levels of Traffic Safety

Do driver’s characteristics, system performance, perceived safety, and trust influence how drivers use partial automation? A structural equation modelling analysis

Role of policy and consumer attitudes in people’s intention to use autonomous vehicles: a comparative study in China and the USA

Contact Info

Product

Resources

About