Comparing dynamic and static illustration of an HMI for cooperative driving

Kraft, Ann-Kathrin; Maag, Christian; Baumann, Martin

doi:10.1016/j.aap.2020.105682

Cited by 22 publications

(11 citation statements)

References 14 publications

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“…The time to complete a secondary task has been used to measure secondary task time demands [38,39]. Secondary task duration has been considered in the field of vehicle secondary task interface evaluation [39][40][41]. Whether or not the full-touch interaction mode increased the TCT of task interactions has remained an open question.…”

Section: Resultsmentioning

confidence: 99%

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Zhao

et al. 2022

Journal of Advanced Transportation

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In recent years, the full-touch human–machine interaction (HMI) mode has gained popularity in the automotive market. However, little research has been conducted on how this interaction mode affects drivers’ glance behavior and lateral control ability. In this study, we evaluated the visual engagement and driving performance of 30 participants while driving two vehicles equipped with either the full-touch interaction mode (FTIM) or the conventional interaction mode (CIM) provided by the original equipment manufacturer (OEM). We found that both air conditioning–related tasks required more visual engagement, longer task completion time, and worse lateral vehicle control under FTIM. Furthermore, the gray correlation analysis demonstrated that FTIM exhibited slightly different disadvantages in the two secondary tasks. In the temperature adjustment task, the correlations of glance behavior and lateral control ability between the two interactive modes were 0.688 and 0.680, respectively. In the airflow adjustment task, the correlations of glance behavior and lateral control ability between the two interactive modes were 0.659 and 0.668, respectively. In addition, this study revealed that driving speed had significant effects on glance behavior and lateral driving performance in both interaction modes. As speed increased, self-adjusting glance behavior was evident in performing the secondary task; however, this behavior could not compensate for the deterioration in lateral driving performance caused by the increased speed. The findings will help improve drivers’ perception of FTIM and provide theoretical guidance for the design development of HMI mode.

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Section: Resultsmentioning

confidence: 99%

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Zhao

et al. 2022

Journal of Advanced Transportation

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“…We found that many studies uses eye-tracking in AD [32,53,54,84,87,94], AVI [16,20,21,29,30,45,55,60,61,76] and HRI [6,19,64,91]. It is used as tool to measure objective gaze behaviour of drivers, pilots and user interacting with robots.…”

Section: Evaluation Methods (Ad Hri Av)mentioning

confidence: 99%

“…In the domains of AD and AVI, mode information is most commonly presented with verbal indicators on a display [2,12,31,32,44,53,59,61,71,87,88,91,94]. In the field of HRI, interfaces are used when the robot and human are located in different environments, such as in the cases of collaboration between human and a rescue robots [64,65,85].…”

Section: Verbal Indicators (Ad Hri Av)mentioning

confidence: 99%

“…Apart from text and graphical elements, eye catching elements are used to draw the attention of the user, especially in critical situations. These are flashing of icons or light [15,19,32,37,79,86], animation of visuals [53], pop-up displays [17] and exclamation mark at the of sentences [2,36,44]. Also change of color, especially red to draw immediate attention [61,65] is a common approach to draw attention in all three domains [2,3,13,26,27,33,36,44,89].…”

Section: Eye Catching Elements (Ad Hri Av)mentioning

confidence: 99%

“…One of the examples include moving Flight Mode Annunciators (FMAs) tab to a Mode Control Panel (MCP). Similarly, in AD domain, mode information is shown in different locations such as on instrument cluster [32,53,71,88] or using a HUD to display it on the wind shield [33,74,94].…”

Section: Playing Around With Information Locations (Ad Av)mentioning

confidence: 99%

See 2 more Smart Citations

Mode Awareness Interfaces in Automated Vehicles, Robotics, and Aviation: A Literature Review

Özkan

Mirnig

Meschtscherjakov

et al. 2021

13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications

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With increasing automation capabilities and a push towards full automation in vehicles, mode awareness, i.e., the driver's awareness of the vehicle's current automation mode, becomes an important factor. While issues surrounding mode awareness are known, research concerning and design towards mode awareness appears to not yet be a focal point in the automated driving domain. In this paper, we provide a state-of-the art on mode awareness from the related domains of automated driving, aviation, and Human-Robot Interaction. We present a summary of existing mode awareness interface solutions as well as existing techniques and recognized gaps concerning mode awareness. We found that existing interfaces are often simple, sometimes outdated, yet are difficult to meaningfully expand without overloading the user. We also found predictive approaches as a promising strategy to lessen the need for mode awareness via separate indicators. CCS CONCEPTS• Human-centered computing → HCI theory, concepts and models; Interactive systems and tools.

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Human-Machine Interface (HMI) Design for Automated Driving

Wang,

Xue,

et al. 2024

Research on Automotive Intelligent Cockpit

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Comparing dynamic and static illustration of an HMI for cooperative driving

Cited by 22 publications

References 14 publications

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Differences in Drivers’ Glance Behavior and Lateral Control Ability during Full-Touch Interaction Mode and Conventional Interaction Mode: A Case Study of Road Experiments

Mode Awareness Interfaces in Automated Vehicles, Robotics, and Aviation: A Literature Review

Human-Machine Interface (HMI) Design for Automated Driving

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