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

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.

2021 ◽  
Vol 9 (1) ◽  
pp. 32-41
Author(s):  
Alexey Sergeev ◽  
Victor Titov ◽  
Igor Shardyko

This article discusses the control issues of a robotic arm for a hot cell based on the induced virtual reality methodology. A human-machine interface based on the virtual reality is presented, comprising a set of interactive features, designed to construct trajectories, along which the end effector of the arm should move. The prospects of computer vision are further considered as means that update the virtual environment state. An experiment to compare two approaches designed to control the robotic arm in virtual environment was carried out.


2021 ◽  
Vol 32 (4) ◽  
pp. 4-14
Author(s):  
Christine Mulvihill ◽  
Tim Horberry ◽  
Michael Fitzharris ◽  
Brendan Lawrence ◽  
Raphaela Schnittker ◽  
...  

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.


Sign in / Sign up

Export Citation Format

Share Document