Driving Experience Versus Mental Stress  at Assisted Lateral Guidance

Schick, Bernhard; Seidler, Corinna; Aydogdu, Seda; Kuo, Yu-Jeng

doi:10.1007/s38311-018-0210-9

Cited by 2 publications

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“…The mental stress of drivers when using the LKA system is researched in Schick et al (2019). A professional team is set up which covers expert engineers from psychology, vehicle dynamics measurement, product design and data processing.…”

Section: Introductionmentioning

confidence: 99%

Subjective assessment for an advanced driver assistance system: a case study in China

2022

JICV

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Purpose This study aims to propose a novel subjective assessment (SA) method for level 2 or level 2+ advanced driver assistance system (ADAS) with a customized case study in China. Design/methodology/approach The proposed SA method contains six dimensions, including perception, driveability and stability, riding comfort, human–machine interaction, driver workload and trustworthiness and exceptional operating case, respectively. And each dimension subordinates several subsections, which describe the corresponding details under this dimension. Findings Based on the proposed SA, a case study in China is conducted. Six drivers with different driving experiences are invited to give their subjective ratings for each subsection according to a predefined rating standard. The rating results show that the ADAS from Tesla outperforms the upcoming electric vehicle in most cases. Originality/value The proposed SA method is beneficial for the original equipment manufacturers developing related technologies in the future.

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Section: Introductionmentioning

confidence: 99%

Subjective assessment for an advanced driver assistance system: a case study in China

2022

JICV

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“…Drivers of autonomous vehicles can experience unanticipated and unpredictable vehicle behavior. This can lead to anxiety as well as lack of trust in, and acceptance of, autonomous vehicles [24,48]. It has been shown that providing explanations to drivers can mitigate these negative effects [33,34].…”

Section: Introductionmentioning

confidence: 99%

“I’d like an Explanation for That!”Exploring Reactions to Unexpected Autonomous Driving

Wiegand

Eiband

Haubelt

et al. 2020

22nd International Conference on Human-Computer Interaction With Mobile Devices and Services

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Autonomous vehicles are complex systems that may behave in unexpected ways. From the drivers' perspective, this can cause stress and lower trust and acceptance of autonomous driving. Prior work has shown that explanation of system behavior can mitigate these negative effects. Nevertheless, it remains unclear in which situations drivers actually need an explanation and what kind of interaction is relevant to them. Using thematic analysis of real-world experience reports, we first identified 17 situations in which a vehicle behaved unexpectedly. We then conducted a think-aloud study (N = 26) in a driving simulator to validate these situations and enrich them with qualitative insights about drivers' need for explanation. We identified six categories to describe the main concerns and topics during unexpected driving behavior (emotion and evaluation, interpretation and reason, vehicle capability, interaction, future driving prediction and explanation request times). Based on these categories, we suggest design implications for autonomous vehicles, in particular related to collaboration insights, user mental models and explanation requests. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models; Empirical studies in HCI ; Scenario-based design.

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Driving Experience Versus Mental Stress at Assisted Lateral Guidance

Cited by 2 publications

References 0 publications

Subjective assessment for an advanced driver assistance system: a case study in China

Subjective assessment for an advanced driver assistance system: a case study in China

“I’d like an Explanation for That!”Exploring Reactions to Unexpected Autonomous Driving

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