A user study of directional tactile and auditory user interfaces for take-over requests in conditionally automated vehicles

Gruden, Timotej; Tomažič, Sašo; Sodnik, Jaka; Jakus, Grega

doi:10.1016/j.aap.2022.106766

Cited by 17 publications

(16 citation statements)

References 61 publications

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“…In the investigations of Mohebbi et al and Murata et al, tactile cues were more effective than auditory cues [7,31]. However, according to studies of Geitner et al and Gruden et al, auditory cues are superior to tactile cues [5,14]. Is this difference owing to the experiment's context or purpose?…”

Section: Takeover Request and Modalitymentioning

confidence: 96%

“…Experimental research has shown that auditory stimuli elicit faster responses compared to visual stimuli, enabling quicker reactions to hazards [4]. Moreover, auditory alerts can provide better location information compared to tactile alerts [5,6]. In driving situations, visual and auditory tasks are frequently secondary tasks, making tactile sensations less susceptible to distracting drivers [7].…”

Section: Warning Signal Design In Autonomous Vehiclementioning

confidence: 99%

“…The third area of study focuses on cross-modality comparisons. Similar to the cross-modality comparisons conducted in manual driving [7,30], a number of studies [5,14,31,32] have investigated which modality is more effective at triggering driver responses during control transitions in partial autonomy. However, these studies occasionally produce contradictory results.…”

Section: Takeover Request and Modalitymentioning

confidence: 99%

“…However, these studies occasionally produce contradictory results. Depending on variables such as secondary tasks or timing, some studies have found that tactile cues are more effective than auditory cues [31,32], while others have found the opposite [5,14].…”

Section: Takeover Request and Modalitymentioning

confidence: 99%

See 3 more Smart Citations

Individual Differences in Signal Perception for Takeover Request in Autonomous Driving

Lee

Kang

2023

Applied Sciences

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In the context of partial autonomy, where autonomous vehicles and humans share control of the vehicle, bringing out-of-the-loop drivers back into the loop is a significant challenge. While warning signal design guidelines are commonly used to provide alerts, few studies have examined each signal in depth with an emphasis on the autonomous environment. This study aims to fill this gap by investigating visual, auditory, and tactile stimuli and modifying their sub-attributes to explore variations related to age, gender, and other individual backgrounds. For this objective, the research examined the correlations between age, gender, and individual backgrounds with reaction times to TOR signals, investigating the effects of sub-attribute variations on participants’ responses and exploring the subjective evaluations of the signals. A driving simulator was utilized to create a realistic driving environment and measure participants’ reaction times in takeover request situations. Analysis of the data revealed correlations between age and reaction times for auditory and tactile signals, with interaction effects observed between age and sub-attribute intensity. Additionally, participants exhibited varying reaction time patterns in response to different sub-attribute intensities. By evaluating individual differences in perception based on modality characteristics, often overlooked in prior research, this study serves as a foundational contribution to future research in the field.

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Section: Takeover Request and Modalitymentioning

confidence: 96%

Section: Warning Signal Design In Autonomous Vehiclementioning

confidence: 99%

Section: Takeover Request and Modalitymentioning

confidence: 99%

Section: Takeover Request and Modalitymentioning

confidence: 99%

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Individual Differences in Signal Perception for Takeover Request in Autonomous Driving

Lee

Kang

2023

Applied Sciences

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“…User Interface (UI) describes how a user interacts with a computer system which consists of all hardware, software, screens, menus, functions, outputs, and features that affect two-way communication between the user and the computer [10]. The user interfaces are the key to usability, including user satisfaction, support for business functions, and system effectiveness [31]. It made the user interface using the Hyper Text Markup Language (HMTL) programming language.…”

Section: Website-based Final Project Management Designmentioning

confidence: 99%

Website-based final project management system design at Trisakti university industrial engineering

Yojana¹,

Febriani²,

Septiani³

et al. 2022

j. sist. manaj. ind.

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Preparing the final project is one of the requirements for graduation from a college student. The right Final Project management system will affect the quality of education. Industrial Engineering Trisakti University is one of the leading universities in Indonesia that continues to develop its education system. Managing the final project at Trisakti University Industrial Engineering is still manual and has not been integrated. As a result, the risk of errors in entering and saving Final Project data is still high. Therefore, this research was conducted to design a final project management system at Trisakti University Industrial Engineering. It begins with analyzing the existing management system. It is described with swim lane diagrams and PIECES to determine the process flow in the system and the actors who play a role in the system. After analyzing the system, proceed with designing information systems with Object-Oriented Modeling and evaluate it with black box testing and ERRC. This research results in website-based final project management at Trisakti University Industrial Engineering.

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Designing Two-Stage Warning Systems: The Effect of Hazard Information

Zhang

et al. 2023

Lecture Notes in Computer Science

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A user study of directional tactile and auditory user interfaces for take-over requests in conditionally automated vehicles

Cited by 17 publications

References 61 publications

Individual Differences in Signal Perception for Takeover Request in Autonomous Driving

Individual Differences in Signal Perception for Takeover Request in Autonomous Driving

Website-based final project management system design at Trisakti university industrial engineering

Designing Two-Stage Warning Systems: The Effect of Hazard Information

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