scholarly journals First-Stage Evaluation of a Prototype Driver Distraction Human-Machine-Interface Warning System

2021 ◽  
Vol 32 (4) ◽  
pp. 4-14
Author(s):  
Christine Mulvihill ◽  
Tim Horberry ◽  
Michael Fitzharris ◽  
Brendan Lawrence ◽  
Raphaela Schnittker ◽  
...  
Keyword(s):  
Warning System ◽  
Human Machine Interface ◽  
Truck Drivers ◽  
Driver Distraction ◽  
Machine Interface ◽  
Vehicle Technology ◽  
Driver Acceptance ◽  
The Impact ◽  
Published Research ◽  
Larger Sample

Recent advances in vehicle technology permit the real-time monitoring of driver state to reduce distraction-related crashes, particularly within the heavy vehicle industry. Relatively little published research has evaluated the human machine interface (HMI) design for these systems. However, the efficacy of in-vehicle technology depends in large part on the acceptability among drivers of the system’s interface. Four variations of the HMI of a prototype multi-modal warning system developed by the authors for driver distraction were evaluated in a truck simulator with eight car drivers and six truck drivers. Driver acceptance of the HMIs was assessed using the System Acceptability Scale; and salience, comprehension and perceived effectiveness of components of the HMIs (modality, intensity of warning) were assessed using likert scales. The results showed that participants considered the HMIs to be acceptable and useful, and that the warning components were largely noticed, understood correctly, and perceived to be effective. Although this study identified no major design flaws with the recently developed HMIs, further simulator testing with a larger sample size is recommended to validate the findings. On-road evaluations to assess the impact of the HMIs on real world safety are a necessary pre-requisite for implementation.

Human-machine interface for a hypovigilance warning system

2003 ◽  
Vol 36 (12) ◽  
pp. 111-116
Author(s):  
Manfred Dangelmaier ◽  
Claus Marberger
Keyword(s):  
Warning System ◽  
Human Machine Interface ◽  
Machine Interface

Distraction of Connected Vehicle Human–Machine Interface for Truck Drivers

2020 ◽  
Vol 2674 (9) ◽  
pp. 438-449 ◽  
Author(s):  
Guangchuan Yang ◽  
Mohamed M. Ahmed ◽  
Biraj Subedi
Keyword(s):  
Human Error ◽  
Driving Simulator ◽  
Situational Awareness ◽  
Revealed Preference ◽  
Human Machine Interface ◽  
Truck Drivers ◽  
Connected Vehicle ◽  
Cognitive Distraction ◽  
High Workload ◽  
Machine Interface

Connected vehicle (CV) technology aims to improve drivers’ situational awareness through audible and visual warnings, commonly displayed on a human–machine interface (HMI), thus reducing the likelihood of crashes caused by human error. Nevertheless, the presence of an in-vehicle CV HMI may pose an increasing threat to driver distraction, particularly for truck drivers and under high workload driving conditions. With this concern, this research investigated the effects of a HMI developed by the Wyoming Department of Transportation CV Pilot on truck drivers’ cognitive distraction and driving behavior through a driving simulator experiment. Revealed preference survey and vehicle dynamics data were employed to assess the cognitive distractions of the Pilot’s HMI. Simulation results indicated that when CV warnings were displayed on the HMI, they did not introduce significant effects on participants’ longitudinal and lateral control of the vehicle. Nevertheless, from the revealed preference survey, it was found that approximately 27% of the participants indicated that the CV HMI tended to introduce additional visual workload for them, particularly when approaching an active freeway work zone under reduced visibility condition. In this regard, this research pointed out that the design of CV warnings and HMI displays needs to incorporate drivers’ ability to recognize and react safely to the received CV warnings to minimize the cognitive distractions introduced by the CV HMI.

scholarly journals Analysis of a Human-Machine Interface for Cooperative Truck Overtaking Maneuvers on Freeways: Increase Success Rate and Assess Driving Behavior during System Failures

2021 ◽  
Vol 5 (11) ◽  
pp. 69
Author(s):  
Jana Fank ◽  
Christian Knies ◽  
Frank Diermeyer
Keyword(s):  
Success Rate ◽  
Driving Simulator ◽  
Road Traffic ◽  
Human Machine Interface ◽  
Truck Drivers ◽  
System Failure ◽  
System Failures ◽  
Road Users ◽  
Potential System ◽  
Machine Interface

Cooperation between road users based on V2X communication has the potential to make road traffic safer and more efficient. The exchange of information enables the cooperative orchestration of critical traffic situations, such as truck overtaking maneuvers on freeways. With the benefit of such a system, questions arise concerning system failure or the abrupt and unexpected behavior of road users. A human-machine interface (HMI) organizes and negotiates the cooperation between drivers and maintains smooth interaction, trust, and system acceptance, even in the case of a possible system failure. A study was conducted with 30 truck drivers on a dynamic truck driving simulator to analyze the negotiation of cooperation requests and the reaction of truck drivers to potential system failures. The results show that an automated cooperation request does not translate into a significantly higher cooperation success rate. System failures in cooperative truck passing maneuvers are not considered critical by truck drivers in this simulated environment. The next step in the development process is to investigate how the success rate of truck overtaking maneuvers on freeways can be further increased as well as the implementation of the system in a real vehicle to investigate the reaction behavior of truck drivers in case of system failures in a real environment.

The Effect of Dynamic Speed Information and Timing of Displaying EHMI on Automated Vehicle and Pedestrian Interactions

2021 ◽  
Author(s):  
Jinjuan She ◽  
Marufa Islam ◽  
Feng Zhou
Keyword(s):  
Virtual Reality ◽  
Field Studies ◽  
Human Machine Interface ◽  
Perceived Safety ◽  
Physical Behavior ◽  
Automated Vehicle ◽  
Online Study ◽  
Short Period ◽  
Machine Interface ◽  
The Impact

Abstract Pedestrian-AV (automated vehicle) interaction attracts a significant amount of attention in recent years. However, there are controversial opinions about whether an external human-machine interface (eHMI) that communicates AV’s intent is needed. The authors propose that vehicle built-in cues (e.g., dynamic speed information) and the timing of displaying eHMI when communicating an AV’s yielding intent are both important. An online study was conducted to understand the impact on a 2-way street with a marked but not signalized crosswalk. As predicted, pedestrians were more likely to cross, with higher trust in AV and perceived safety, when the eHMI was displayed earlier. Information of the AV’s decreasing speed did not have a significant effect on crossing decisions, however, it increased trust and perceived safety. In addition, eHMI did have a positive add-on effect on pedestrian’s trust in AV, especially when it was displayed earlier, in the scenarios that dynamic speed of an AV was visible. Moreover, both the timing of eHMI and dynamic speed information played a role in enhancing a pedestrian’s judgment consistency in the short period of the interaction with AV, i.e., viewing the approaching AV from 20 meters away until it stopped near the pedestrian. The study indicated that both information about the vehicle’s physical behavior (i.e., speed) and the eHMI are beneficial in pedestrian-AV communication. More in-depth virtual reality or field studies are needed to further validate the findings.

Food Safety Security: A new Concept for Enhancing Food Safety Measures

2012 ◽  
Vol 82 (3) ◽  
pp. 216-222 ◽  
Author(s):  
Venkatesh Iyengar ◽  
Ibrahim Elmadfa
Keyword(s):  
Food Safety ◽  
Hazard Analysis ◽  
Warning System ◽  
Shared Responsibility ◽  
Fine Tuning ◽  
Strategic Action ◽  
Surveillance Network ◽  
Measurement Systems ◽  
Critical Control Points ◽  
The Impact

The food safety security (FSS) concept is perceived as an early warning system for minimizing food safety (FS) breaches, and it functions in conjunction with existing FS measures. Essentially, the function of FS and FSS measures can be visualized in two parts: (i) the FS preventive measures as actions taken at the stem level, and (ii) the FSS interventions as actions taken at the root level, to enhance the impact of the implemented safety steps. In practice, along with FS, FSS also draws its support from (i) legislative directives and regulatory measures for enforcing verifiable, timely, and effective compliance; (ii) measurement systems in place for sustained quality assurance; and (iii) shared responsibility to ensure cohesion among all the stakeholders namely, policy makers, regulators, food producers, processors and distributors, and consumers. However, the functional framework of FSS differs from that of FS by way of: (i) retooling the vulnerable segments of the preventive features of existing FS measures; (ii) fine-tuning response systems to efficiently preempt the FS breaches; (iii) building a long-term nutrient and toxicant surveillance network based on validated measurement systems functioning in real time; (iv) focusing on crisp, clear, and correct communication that resonates among all the stakeholders; and (v) developing inter-disciplinary human resources to meet ever-increasing FS challenges. Important determinants of FSS include: (i) strengthening international dialogue for refining regulatory reforms and addressing emerging risks; (ii) developing innovative and strategic action points for intervention {in addition to Hazard Analysis and Critical Control Points (HACCP) procedures]; and (iii) introducing additional science-based tools such as metrology-based measurement systems.

Designing the human machine interface in the ATIS domain

1990 ◽  
Author(s):  
B. Bly ◽  
P. J. Price ◽  
S. Park ◽  
S. Tepper ◽  
E. Jackson ◽  
...  
Keyword(s):  
Human Machine Interface ◽  
Machine Interface
Sign in / Sign up

Export Citation Format

Share Document