Investigating Users’ Preferences in Adaptive Driving Styles for Level 2 Driving Automation

Sajedinia, Zahra; Akash, Kumar; Zheng, Zhaobo; Misu, Teruhisa; Dong, Miaomiao; Krishnamoorthy, Vidya; Martinez, Kimberly D.; Sureshbabu, Keertana; Huang, Gaojian

doi:10.1145/3543174.3546088

Cited by 5 publications

(2 citation statements)

References 15 publications

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“…Whether the trait is dispositional or learned is beyond the scope of this research. While referring to existing research, driving style has been shown to impact trust in automation (Sajedinia et al, 2022). This research found that user driving style preference is correlated with surroundings(situational factor), length of interaction(learned), and trust (dispositional).…”

Section: Discussionmentioning

confidence: 99%

Does prior experience influence trust in novel automation systems? A study on two mobility platforms

Mehrotra,

Salubre,

Akash

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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Rapid advances in shared mobility and vehicle automation have led to a monumental shift of interest toward developing automated systems. However, automation development has wider implications for how end users would trust these novel automation systems. This research explored how the experience with prior automation systems and exposure to vehicles of similar form factors may influence trust when they would encounter novel mobility with a similar type of automation and form factor. A simulator study was designed with 48 participants when they interacted with AV cars and AV sidewalk mobility. Participants engaged in a simulator study consisting of two interactions separated by a few hours. Findings from the self-reported surveys suggest that prior experience with ADAS features and the preferred driving style of participants influenced dimensions of trust.

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Section: Discussionmentioning

confidence: 99%

Does prior experience influence trust in novel automation systems? A study on two mobility platforms

Mehrotra,

Salubre,

Akash

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

show abstract

“…Previous studies have also demonstrated that the preferred driving style of the AV influences the takeover decision in critical situations; for example, if an AV's driving style contradicts the driver's preferences, the driver tends to take over more frequently [ 35 ]. Thus, the preferred driving style of the AV can be used as a factor to predict the driver's takeover decision [ 36 ] and the takeover decision of a driver is useful for predicting their driving style preferences [ 37 ].…”

Section: Introductionmentioning

confidence: 99%

Willingness to take responsibility: Self-sacrifice versus sacrificing others in takeover decisions during autonomous driving

Ju,

Kim

2024

Heliyon

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Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions

Mehrotra,

Zahedi,

Misu

et al. 2023

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

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Investigating Users’ Preferences in Adaptive Driving Styles for Level 2 Driving Automation

Cited by 5 publications

References 15 publications

Does prior experience influence trust in novel automation systems? A study on two mobility platforms

Does prior experience influence trust in novel automation systems? A study on two mobility platforms

Willingness to take responsibility: Self-sacrifice versus sacrificing others in takeover decisions during autonomous driving

Wellbeing in Future Mobility: Toward AV Policy Design to Increase Wellbeing through Interactions

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