HMI Strategy – Warnings and Interventions

Winkler, Susann; Powelleit, Matthias; Kazazi, Juela; Vollrath, Mark; Krautter, Wolfgang; Korthauer, Andreas; Drüke, Julia; Töpfer, Daniel; Semmler, Carsten; Bendewald, Lennart

doi:10.1007/978-3-658-15418-9_5

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…While visual information presented on the dashboard during manual driving may be detectable using peripheral vision (Lamble, Laakso, & Summala, 1999), such information might be missed if the driver is engaged in a non-driving task. A promising approach for conveying visual messages is to use ambient TORs, for example by lighting up a LED strip or bar under the windshield, along the A-pillar, or around the cabin (e.g., Kelsch & Dziennus, 2015;Löcken, Heuten, & Boll, 2015;Meschtscherjakov, Döttlinger, Rödel, & Tscheligi, 2015;Pfromm, Cieler, & Bruder, 2013;Winkler et al, 2018), or by using spatially directed LED strips (Dettman & Bullinger, 2017). Such ambient TORs might be more easily detected by the distracted driver than localized visual cues.…”

Section: Visual Displaysmentioning

confidence: 99%

Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays

Bazilinskyy

Petermeijer

Petrovych

et al. 2018

Transportation Research Part F: Traffic Psychology and Behaviou

116

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An important research question in the domain of highly automated driving is how to aid drivers in transitions between manual and automated control. Until highly automated cars are available, knowledge on this topic has to be obtained via simulators and self-report questionnaires. Using crowdsourcing, we surveyed 1692 people on auditory, visual, and vibrotactile take-over requests (TORs) in highly automated driving. The survey presented recordings of auditory messages and illustrations of visual and vibrational messages in traffic scenarios of various urgency levels. Multimodal TORs were the most preferred option in high-urgency scenarios. Auditory TORs were the most preferred option in lowurgency scenarios and as a confirmation message that the system is ready to switch from manual to automated mode. For low-urgency scenarios, visual-only TORs were more preferred than vibration-only TORs. Beeps with shorter interpulse intervals were perceived as more urgent, with Stevens' power law yielding an accurate fit to the data. Spoken messages were more accepted than abstract sounds, and the female voice was more preferred than the male voice. Preferences and perceived urgency ratings were similar in middle-and high-income countries. In summary, this international survey showed that people's preferences for TOR types in highly automated driving depend on the urgency of the situation.

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Section: Visual Displaysmentioning

confidence: 99%

Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays

Bazilinskyy

Petermeijer

Petrovych

et al. 2018

Transportation Research Part F: Traffic Psychology and Behaviou

116

View full text Add to dashboard Cite

show abstract

“…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

Self Cite

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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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Wizard-of-Oz-Fahrzeuge

Frey,

Jipp

2024

Handbuch Assistiertes Und Automatisiertes Fahren

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HMI Strategy – Warnings and Interventions

Cited by 4 publications

References 5 publications

Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays

Take-over requests in highly automated driving: A crowdsourcing survey on auditory, vibrotactile, and visual displays

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

Wizard-of-Oz-Fahrzeuge

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