HMI Strategy – Recommended Action

Rittger, Lena; Götze, Martin

doi:10.1007/978-3-658-15418-9_7

Cited by 7 publications

(4 citation statements)

References 20 publications

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“…So far, studies investigating information needs have focused on highways as the operational design domain (ODD), and automation levels 1-3. However, urban areas are more complex than highways, due to a high number of static and dynamic objects [6], vulnerable road users [7], the diversity of road users and a high information density [8], which could lead to an increased need for information. Furthermore, participants in urban areas seem to have less trust in automated vehicles (AV) than on highways or rural roads [9].…”

Section: Introductionmentioning

confidence: 99%

Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors

et al. 2020

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During highly automated driving, the passenger is allowed to conduct non-driving related activities (NDRA) and no longer has to act as a fallback at the functional limits of the driving automation system. Previous research has shown that at lower levels of automation, passengers still wish to be informed about automated vehicle behavior to a certain extent. Due to the aim of the introduction of urban automated driving, which is characterized by high complexity, we investigated the information needs and visual attention of the passenger during urban, highly automated driving. Additionally, there was an investigation into the influence of the experience of automated driving and of NDRAs on these results. Forty participants took part in a driving simulator study. As well as the information presented on the human–machine interface (system status, navigation information, speed and speed limit), participants requested information about maneuvers, reasons for maneuvers, environmental settings and additional navigation data. Visual attention was significantly affected by the NDRA, while the experience of automated driving had no effect. Experience and NDRA showed no significant effect on the need for information. Differences in information needs seem to be due to the requirements of the individual passenger, rather than the investigated factors.

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Section: Introductionmentioning

confidence: 99%

Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors

et al. 2020

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“…Driving a partially automated vehicle (e.g., vehicles with SAE Level 2 features) in a complex urban environment can be challenging for both the driving automation and the human driver. From the driving automation perspective, mixed traffic (Drüke et al, 2018) and dynamic traffic situations (Drüke et al, 2018; Rittger & Götze, 2018) pose technical challenges for automation design. To address these technical challenges, advanced sensors and algorithms have been developed and tested, and progress is ongoing.…”

Section: Introductionmentioning

confidence: 99%

Sharing Vehicle Situation Awareness Reduces Driver-Initiated Overrides in Urban Environments

Lee,

Rheem,

Lee

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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Driver assistance technologies have rapidly advanced. However, using partially automated driving systems in urban environments is still challenging. The potential disuse of driving automation is one of the challenges that prevents users from taking full advantage of the system. To address this issue, we investigated whether sharing the vehicle’s situation awareness (SA) information could increase the proper use of driving automation in urban contexts. An Augmented Reality Head-Up Display (AR HUD) was developed to present the vehicle’s SA information, and its effect was tested using a driving simulator. We used a two-part mixed model to analyze driver reliance behavior. The results showed that sharing the vehicle’s SA information decreased override responses when the automation could handle the situation but had no significant effect on the override time. These findings suggest that providing drivers with the vehicle SA information can increase the appropriate use of driving automation in complex urban driving situations.

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“…In contrast to this, human machine interfaces for driver assistance are well established and have been investigated in detail in many studies so far (Adell et al, 2008;Charissis & Papanastasiou, 2010;Aydogdu et al, 2019;Winkler et al 2018;Hofauer et al 2018;Rittger et al 2018). The goal of such HMIs is to support the driver by providing different types of information that help him in performing the driving task and avoid unwanted situations.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Co-DAS: Development and Evaluation of Co-Driver Assistance System Concepts to Reduce Passenger Discomfort

Ittner¹,

Muehlbacher²,

Vollrath³

et al. 2021

Preprint

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The front seat passenger is often neglected when developing support systems for cars. There exist few examples of systems that provide information or interaction possibilities specifically to those passengers. Previous research indicated that the passive role of the passenger can frequently lead to a feeling of discomfort, potentially caused by missing information and missing control with respect to the driving situation. This paper proposes a variety of prototypical passenger assistance systems that target different aspects of the cognitive processes which could cause the feeling of discomfort. In a simulator study with N = 40 participants, these systems were investigated with respect to their influence on measures of discomfort. Participants experienced different car following and braking scenarios on the highway with different time headways, with and without one of the passenger assistance systems. Based on the subjective measures, three systems were identified as particularly useful in reducing discomfort. For the best of these proposals, more than 63 % of the passengers confirmed the usefulness of the approach and reported an interest in using it in their vehicle. This demonstrates significant opportunities to improve the everyday driving experience beyond classical assistant systems by explicitly taking into account the needs of the passengers.

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HMI Strategy – Recommended Action

Cited by 7 publications

References 20 publications

Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors

Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors

Sharing Vehicle Situation Awareness Reduces Driver-Initiated Overrides in Urban Environments

Co-DAS: Development and Evaluation of Co-Driver Assistance System Concepts to Reduce Passenger Discomfort

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